Artificial intelligence, data literacy, strategic thinking and continuous learning are among the forces changing professional careers. Research points to a growing need for workers who can combine technical knowledge with sound judgment, communication and business understanding.

Preparing for 2027 requires more than keeping up with new technologies. Professionals must also understand how employers’ expectations are changing, which capabilities are becoming more important and how to apply their expertise to organizational goals.

The World Economic Forum’s Future of Jobs Report 2025 draws on a survey of more than 1,000 employers representing over 14 million workers across 55 economies. Its findings indicate that 39% of workers’ existing skill sets could change or become outdated between 2025 and 2030. Meanwhile, 63% of surveyed employers identify skills gaps as a major barrier to business transformation.

These findings suggest that professionals should approach career development as an ongoing process. The following 20 trends, supported by research from international organizations, independent research institutions and government statistical agencies, highlight areas worth watching in 2027.

Artificial intelligence and digital skills

1. AI literacy becomes a workplace priority. Pew Research Center found that 21% of employed Americans said at least some of their work was done with AI in September 2025, up from 16% roughly a year earlier. Professionals can prepare by learning to use AI tools for appropriate tasks while checking accuracy, protecting sensitive information and understanding their limitations. Source: Pew Research Center

2. Human judgment remains essential in AI-assisted work. Among workers who had used AI chatbots at work, 40% said the tools were extremely or very helpful in completing tasks faster, while 29% reported similar benefits for work quality. Professionals should learn to evaluate AI-generated outputs rather than equating speed with accuracy. Source: Pew Research Center

3. Data literacy extends beyond specialist roles. The U.S. Bureau of Labor Statistics projects employment for data scientists to grow by 33.5% between 2024 and 2034. Although this forecast concerns a specific occupation, it reflects demand for specialized data expertise. Professionals in other fields can benefit from learning to interpret trends, question assumptions and communicate findings. Source: U.S. Bureau of Labor Statistics

4. Cybersecurity awareness becomes a broader professional responsibility. Employment for information security analysts in the United States is projected to grow by 28.5% from 2024 to 2034. Employees outside cybersecurity roles also need to understand secure data handling, access controls and common digital threats. Source: U.S. Bureau of Labor Statistics

5. Digital adaptability matters more than familiarity with one tool. Eurostat reported that 40% of EU citizens lacked at least basic digital skills in 2025. Learning to work with unfamiliar software, digital platforms and emerging technologies can help professionals respond to changing job requirements. Source: Eurostat, Digitalisation in Europe 2026

Analytical thinking and business performance

6. Analytical thinking remains a core skill. Seven in ten companies surveyed for the WEF’s Future of Jobs Report 2025 identified analytical thinking as an essential skill. Professionals can apply it by examining evidence, identifying the causes of problems and comparing possible solutions before making decisions.

7. Strategic thinking becomes relevant at every career level. The WEF found that 63% of surveyed employers considered skills gaps a major barrier to business transformation. Professionals who understand organizational priorities and how their work contributes to them can make better-informed decisions about time, resources and competing demands. Source: WEF, Workforce Strategies

8. KPI literacy supports better performance decisions. The WEF’s finding that seven in ten companies consider analytical thinking essential highlights the importance of interpreting evidence. Understanding key performance indicators (KPIs) helps professionals distinguish activity from results. For example, a marketing specialist can examine conversion rates and lead quality instead of judging campaign performance solely by the number of posts published. Source: WEF, Skills Outlook

9. Data visualization helps professionals communicate findings. Research by the National Skills Coalition and the Federal Reserve Bank of Atlanta found that 92% of jobs analyzed in the United States required digital skills. Data visualization is one practical application: charts and dashboards can help teams understand performance trends, identify exceptions and communicate findings to decision-makers. Source: National Skills Coalition, Closing the Digital Skill Divide

10. Evidence-based problem-solving gains importance. The WEF identifies analytical thinking among the skills expected to remain important through 2030. Professionals can apply this capability by establishing a baseline, investigating the reasons behind a performance gap and testing corrective actions. A decline in customer satisfaction, for instance, may require analysis of response times, complaint types and service processes before a team changes its approach. Source: WEF, Skills Outlook

Leadership, collaboration and adaptability

11. Communication remains essential across occupations. In a Pew Research Center survey, approximately seven in ten employed adults or more considered interpersonal skills, written and spoken communication, critical thinking and basic computer skills very or extremely important for success in today’s economy. Professionals can strengthen these capabilities by writing clearer reports and adapting explanations to different audiences. Source: Pew Research Center

12. Adaptability becomes a career management skill. The WEF found that 70% of surveyed companies considered resilience, flexibility and agility core skills. Professionals can develop these qualities by responding constructively to feedback, adjusting plans when priorities change and learning from unsuccessful approaches. Source: WEF, Skills Outlook

13. Creative thinking supports innovation. The WEF reported that 64% of surveyed employers considered creative thinking a core skill. Professionals can apply it by questioning established processes, generating alternative solutions and testing new approaches to recurring problems. Source: WEF, Skills Outlook

14. Leadership extends beyond formal management roles. Leadership and social influence were considered core skills by 64% of employers in the WEF survey. Employees can demonstrate these capabilities by coordinating projects, clarifying responsibilities, supporting colleagues and helping teams reach shared objectives. Source: WEF, Skills Outlook

15. Collaboration across disciplines becomes increasingly relevant. The WEF identifies leadership and social influence, resilience and adaptability among the core skills employers seek. These capabilities are particularly useful when projects require coordination between finance, operations, marketing, human resources and technology teams. Source: WEF, Skills Outlook

Career resilience and changing labor-market needs

16. Lifelong learning becomes part of career planning. The WEF reported that 50% of surveyed employers had completed training, reskilling or upskilling measures for their workforces, compared with 41% in its 2023 report. Professionals can complement organizational training by regularly reviewing their skill gaps and pursuing relevant learning opportunities. Source: WEF, Future of Jobs Report 2025

17. Reskilling prepares workers for changing job requirements. The WEF estimates that 39% of workers’ existing skill sets could change or become outdated by 2030. Workers can prepare by identifying transferable skills and learning capabilities relevant to adjacent roles, rather than waiting until their current responsibilities change. Source: WEF, Future of Jobs Report 2025

18. Combining specialized expertise with complementary skills can broaden career opportunities. U.S. employment projections show that data scientists could see 33.5% employment growth between 2024 and 2034, while operations research analysts could see 21.5% growth. For professionals in other fields, combining domain knowledge with data interpretation, problem-solving and communication can strengthen their ability to contribute to complex decisions. Source: U.S. Bureau of Labor Statistics

19. Sustainability-related capabilities enter more career discussions. The WEF identifies environmental stewardship among the skills expected to increase in use by 2030. Professionals in operations, procurement, reporting and project management can prepare by learning how resource use, environmental impacts and sustainability measures relate to organizational decisions. Source: WEF, Skills Outlook

20. Career development becomes more intentional. With 63% of surveyed employers identifying skills gaps as a major barrier to transformation, professionals have a reason to plan their development around specific capabilities rather than collecting credentials without a clear objective. A practical plan identifies a target role, assesses current proficiency, selects relevant learning and measures progress through work outcomes. Source: WEF, Workforce Strategies

Turning career trends into professional development

The research points to a combination of technical and human capabilities. AI literacy and digital skills matter, but so do analytical thinking, strategic understanding, communication, leadership and adaptability. Professionals do not need to master all 20 areas at once. The more practical approach is to identify the skills most relevant to their current responsibilities and future career goals.

A focused development plan can start with four steps:

• Assess current capabilities. Identify strengths and gaps in areas such as data analysis, KPI development, strategic planning and performance management.
• Set a specific learning objective. Choose a capability that connects to a work challenge or a target role.
• Apply new knowledge. Practise interpreting performance data, evaluating a project or translating organizational objectives into measurable outcomes.
• Review progress. Look for improvements in decision-making, work quality or the ability to handle more complex responsibilities.

Structured professional training can help turn these goals into a learning plan. The KPI Institute offers training and certification programs in performance management, strategy and business planning, KPI development, data analysis, data visualization and related disciplines.

Professionals planning their development can explore the following 2026 training calendars to identify relevant courses:

• Live Online Training Courses 2026: Explore online learning opportunities in performance management, strategy, KPIs and data-related disciplines.
• Face-to-Face Training Courses 2026 – EMEA: Review classroom-based training opportunities for professionals in Europe, the Middle East and Africa.
• Face-to-Face Training Courses 2026 – Southeast Asia: Explore in-person training opportunities in Southeast Asia.

The most effective learning choice is one that addresses a clear development need. Whether the priority is interpreting performance data, improving strategic planning or developing stronger performance management practices, a relevant course can provide a structured starting point.

The Global Performance Audit Unit (GPAU) will host the Performance Excellence Digital Forum 2026 on 9 December 2026, bringing together international leaders, academics and practitioners to examine the factors behind sustained organizational performance.

The six-hour online event will feature original research, keynote presentations, organizational case studies and expert discussions on strategy execution, performance management maturity and organizational excellence. Under the central question, What Makes Organizations Perform?, the forum will explore how organizations develop management capabilities, translate strategy into action and respond to emerging challenges, including artificial intelligence.

The program will feature several highlights:

• GPAU’s Strategy & Performance Maturity Outlook 2026: Research examining organizational maturity across five performance management capabilities, with insights into maturity levels and differences across industries.
• Strategy execution and project management: Karla Eidem of the Project Management Institute (PMI) will discuss the role of project management in translating strategic priorities into organizational outcomes.
• Organizational case studies: Albawani Holding and Canadian Forces Morale and Welfare Services will share practical perspectives on performance maturity and organizational improvement.
• Academic perspectives on performance: Professors Pietro Micheli and Carmine Bianchi, alongside other experts, will examine the factors behind organizational performance, strategy, performance culture and the implications of artificial intelligence.
• International perspectives and social impact: European Parliament Vice President Nicu Ștefănuță will participate in a discussion connected to GPAU’s Social Impact Through Excellence (SITE) initiative.

Additional discussions will address performance management frameworks, maturity assessments and the role of emerging technologies in organizational performance. By bringing together research and professional experience, the forum will provide an international platform for examining how organizations approach performance excellence across different sectors and contexts.

The event is open to professionals, researchers, organizational leaders and practitioners interested in strategy, performance management and organizational excellence.

The Performance Excellence Digital Forum 2026 will take place online on 9 December 2026, from 12:30 to 18:30 Riyadh time (GMT+3). Attendance is free.

Register for free and explore the full program: https://gpaunit.org/performance-excellence-digital-forum

Organizations rely on charts, dashboards, scorecards, and reports to communicate performance and support business decisions. Yet a visualization can contain accurate data and still leave its audience struggling to understand what the results mean.

A crowded dashboard may hide an important performance gap. Inconsistent colors may confuse comparisons. A chart without clear labels may leave readers guessing what the numbers represent.

These problems are not always caused by the data itself. The way information is organized, presented, and communicated also affects how easily people can interpret it.

Data visualization helps people understand the significance of data by placing it in a visual context. It can reveal patterns, trends, and relationships that might be difficult to recognize in tables or text alone.

The challenge is to present information in a way that supports understanding rather than adding another layer of complexity.

Here are five practical principles for turning business data into clearer visual insights.

1. Start with the question, not the chart

Opening Excel or a dashboard tool and immediately choosing a chart is tempting. However, the first step should be to identify what the audience needs to understand.

Are you comparing performance across departments? Tracking changes in customer satisfaction? Examining differences between actual and target results? Showing how several categories contribute to a total?

The answer determines how the information should be organized and presented.

For example, imagine that a sales manager wants to compare the performance of five regional teams. A table can list each team’s results, but a bar chart may make differences easier to spot. If the manager wants to understand how sales have changed over the past 12 months, a line chart may communicate the trend more clearly.

The same dataset can support several visualizations, but each should serve a specific purpose.

Before selecting a format, consider these questions:

• What do I want readers to understand? Identify the main finding, comparison, or relationship.
• Who will use this information? Consider the audience’s familiarity with the subject and the level of detail they need.
• What decision or action could the information support? Determine whether the visualization needs to highlight a performance gap, explain a trend, or compare alternatives.
• Which format communicates the information most clearly? Choose a chart, table, infographic, dashboard, or another visual communication format based on the objective.

Try this: Before creating your next chart, write a one-sentence description of what the audience should learn from it. If you cannot define that message, clarify the purpose before proceeding.

2. Use visual hierarchy to guide attention

A visualization communicates through more than numbers. The position, size, color, and form of its elements influence what readers notice first.

This is why visual hierarchy matters.

Consider a performance dashboard containing 15 KPIs. If every number appears in the same font size, every chart uses equally prominent colors, and every section competes for attention, readers may struggle to identify the most important findings.

A stronger design establishes a clear order. The most relevant information receives greater prominence, while supporting details remain available without dominating the page.

Several design principles can help:

• Emphasis: Give the main finding a distinct visual treatment so readers can identify it quickly.
• Hierarchy: Arrange information according to its importance, using titles, headings, size, and position to establish priorities.
• Contrast: Create sufficient differences between important elements and their surroundings.
• Balance: Distribute visual elements so the layout feels organized rather than crowded on one side.
• Consistency: Apply similar spacing, alignment, and formatting to related elements.

For example, a monthly performance report might begin with three headline indicators: overall performance, the largest deviation from target, and the most significant change since the previous month. Supporting charts can then explain the results in greater detail.

The objective is not to hide information. It is to make the main message easier to find.

Try this: Reduce your dashboard to a grayscale view. Can you still identify the most important information from its size, position, and layout? If everything appears equally prominent, reconsider the hierarchy.

3. Use color with a clear purpose

Color can distinguish categories, communicate differences, and draw attention to specific results. However, an attractive palette does not automatically produce an effective visualization.

The key is to establish a consistent relationship between color and meaning.

Suppose a company uses green for performance above target, amber for results close to target, and red for results below target. If these colors retain the same meaning across its reports, readers can interpret the results more quickly.

If the same colors represent unrelated categories in different charts, however, readers may misinterpret the information.

The Datawrapper guide to choosing colors for data visualization offers practical advice on color selection, contrast, gradients, and accessibility.

Apply these principles to business reporting:

• Use consistent colors for the same categories. If a department is represented in blue in one chart, retain that color when showing the same department elsewhere.
• Reserve accent colors for important findings. Use neutral tones for supporting information and stronger colors for the results that deserve attention.
• Match the palette to the data. Use distinct hues for unrelated categories and ordered color gradients for numerical values that progress from low to high.
• Explain what the colors mean. Add labels or a legend when the interpretation is not immediately clear.
• Check readability and accessibility. Make sure that text and data points remain distinguishable against their backgrounds and that meaning does not depend on color alone.

For example, a dashboard could use neutral colors for most KPIs and a contrasting accent to highlight indicators that fall below their targets. This approach helps readers focus on exceptions without making every result compete for attention.

Color should support the message, not become the message.

Try this: Review one of your existing reports. If you remove half the colors, does the information become easier to interpret? If so, simplify the palette and reserve stronger colors for the most important distinctions.

4. Make the structure, typography, and labels work together

Even a well-chosen chart can be difficult to interpret when its layout is confusing or its labels are hard to read.

Structure determines how information is arranged. Typography affects readability and emphasis. Labels, titles, and annotations explain what the visual elements represent.

These components need to work together.

Imagine a chart showing monthly customer complaints. The data is accurate, but the title says only “Customer Data,” the reporting period is missing, and the category labels use internal abbreviations. Readers may have to consult the surrounding report before they can understand the chart.

A few adjustments can make a substantial difference.

• Give the chart a specific title. Instead of “Customer Data,” use “Monthly Customer Complaints, January–June 2026.” The revised title tells readers what they are looking at and establishes the period covered.
• Place labels close to the information they explain. Direct labels can reduce the need to move between chart elements and a separate legend. Where a legend is necessary, keep it clear and easy to locate.
• Use typography consistently. Establish a small set of font sizes and styles for titles, section headings, labels, and supporting text. Avoid decorative fonts or excessive variations that compete with the data.
• Include units and relevant context. Specify whether a figure represents percentages, currency, hours, or absolute counts. When a comparison depends on a target or baseline, make that reference clear.
• Use annotations to explain important changes. A short note can identify an unusual spike, a change in reporting methodology, or an event relevant to the data. The annotation should provide context without making unsupported claims about causation.

The Datawrapper guide to using text in data visualizations explores these techniques, including direct labeling, readable typography, annotations, and straightforward wording.

For example, if customer complaints increased in March, a chart annotation could identify a new reporting procedure introduced that month. The note provides context, but additional analysis would still be needed to establish whether the procedure caused the increase.

Try this: Ask a colleague who has not seen your report to explain one of its charts. If they cannot identify the subject, period, units, and main finding without your help, revise the title, labels, or annotations.

5. Follow a process from raw data to a finished visualization

Effective data visualization is not simply a matter of styling a finished chart. It involves a series of decisions about the data, its purpose, its representation, and the way readers will interact with the result.

A practical process helps make these decisions more systematic.

The following seven stages provide a useful workflow for business reporting:

1. Acquire the data. Gather the information needed to answer the business question. Check that the sources are appropriate and that the reporting period is clear.

2. Parse the data. Examine the dataset’s structure, fields, categories, and measurement units. Understand what each variable represents before using it.

3. Filter the data. Remove irrelevant information and address missing, inconsistent, or duplicate records where appropriate. Keep the selection of data aligned with the question being investigated.

4. Analyze the data. Examine the figures for patterns, differences, relationships, and exceptions. Check calculations and consider whether the available information supports the intended interpretation.

5. Represent the data. Select an appropriate visual format and organize the information so the intended comparison or relationship is easy to recognize.

6. Refine the visualization. Review the layout, hierarchy, typography, colors, labels, and annotations. Remove elements that distract from the main message and correct anything that could mislead readers.

7. Add interaction where useful. Consider whether filters, tooltips, or interactive elements would help the audience explore the information. Use them when they serve a clear purpose rather than adding complexity for its own sake.

This process also highlights an important distinction: a technically correct chart is not necessarily an effective one. The visualization must represent the data accurately and communicate its meaning to the intended audience.

A final review before publishing

Before sharing a report, dashboard, or infographic, check the following:

The visualization answers a clearly defined question.

The selected format suits the type of information.

The main finding stands out without unnecessary decoration.

Colors, typography, and layout follow a consistent logic.

Titles, labels, units, and reporting periods are clear.

The figures and calculations match the source data.

The visualization does not exaggerate differences or imply unsupported conclusions.

The design remains readable and accessible to its intended audience.

The final output gives readers enough context to interpret the findings.

A useful final test is to ask whether the visualization communicates its main message without requiring the creator to explain every element. If it does, the design is doing its job.

Building data visualization capability

Creating effective visualizations requires more than knowing how to produce charts in Excel or assemble a dashboard. Professionals need to understand the data visualization process, select appropriate communication formats, apply design principles, and use structure, typography, and color to present information clearly. They also need to evaluate finished visualizations for accuracy, readability, and effectiveness.

The Certified Data Visualization Professional certification from The KPI Institute addresses these capabilities through a structured learning program. The course covers data visualization parameters, the visualization process, visual communication channels, layout and design principles, typography, iconography, color theory, and reporting formats such as scorecards, dashboards, and infographics. It also includes practical reporting exercises and the assessment of real-world visualizations.

For professionals who prepare performance reports, develop dashboards, or communicate business results, the program offers a structured way to develop data visualization knowledge and apply it to workplace reporting.

Learn more about the Certified Data Visualization Professional certification: https://kpiinstitute.org/data-visualization-certification-presentation/

Organizations have access to more business data than ever. Sales figures, customer information, financial results, operational metrics and employee data can all provide evidence for business decisions.

But having more data does not necessarily lead to better decisions.

The difference often comes down to the skills used to work with that data. Professionals need to know how to identify the right questions, prepare information for analysis, apply appropriate techniques and communicate what the results mean.

For organizations seeking stronger data-driven decision-making, these capabilities are becoming increasingly relevant.

Here are five skills that can help professionals make better use of business data.

1. Understanding the business problem

Effective data analysis starts with understanding what the organization is trying to solve.

A business question provides direction for the entire analytical process. It helps determine what information is needed, which variables should be examined and which analytical approach is appropriate.

Without a clearly defined problem, professionals can spend significant time processing data without producing findings that support an actual decision.

This makes business understanding an important foundation for data analysis. Analysts need to connect the information they are examining with organizational objectives, operational challenges and the decisions that need to be made.

2. Preparing and organizing data

Business data rarely arrives in a form that can immediately be analyzed.

Information may come from different sources, contain missing values or follow inconsistent formats. Data preparation involves organizing the information and identifying issues that could affect the reliability of the analysis.

Professionals therefore need to understand different data types, sources and collection approaches. They also need to recognize how data quality can affect the conclusions drawn from it.

Good analysis depends on having data that is fit for the question being investigated.

3. Applying the right analytical techniques

Knowing how to calculate a result is only part of data analysis.

Professionals also need to determine which technique is appropriate for the problem and the type of data available. Descriptive statistics can help summarize what has happened, while statistical testing can help assess whether observed differences or relationships are meaningful.

The objective is not to make an analysis unnecessarily complex.

It is to use an appropriate method and interpret the results correctly.

This requires familiarity with statistical concepts and analytical tools, as well as the ability to apply them within a business context.

4. Interpreting what the numbers mean

Data can show patterns, differences and relationships. Interpretation helps explain what those findings could mean for the organization.

Consider a business that notices a decline in sales in one customer segment. The number itself identifies a change, but further analysis is needed to understand whether the decline relates to pricing, customer behavior, seasonality, product availability or another factor.

This is where analytical thinking becomes important.

Professionals need to examine findings critically, consider the context and avoid drawing conclusions that the available evidence does not support.

A strong analyst does more than report numbers. They help others understand what the numbers are saying.

5. Communicating insights clearly

Even a technically sound analysis has limited usefulness if decision-makers cannot understand the findings.

Data analysts need to present information in ways that make important patterns and conclusions easier to identify. Tables, charts, statistical results and concise explanations can all help communicate findings to different audiences.

This skill becomes particularly important when working with managers and other stakeholders who may not have a technical background.

The goal is to move from “Here is what the data says” to “Here is what the data means for the business.”

Building practical data analysis capability

These five skills are connected. Understanding the business problem guides data collection and preparation. The quality and type of data influence the analytical techniques that can be applied. The results then need to be interpreted and communicated in a way that supports business decisions.

Developing these capabilities therefore requires more than learning individual statistical methods or spreadsheet functions. Professionals need a practical understanding of the broader data analysis process.

The Certified Data Analysis Professional and Practitioner certifications from The KPI Institute provide a structured learning pathway for professionals seeking to develop these capabilities.

The programs cover areas including business understanding, data collection, data preparation, statistical techniques, data analysis, interpretation and practical application. The Practitioner certification also focuses on applying analytical knowledge and tools within real business environments.

For professionals who work with business data or want to strengthen their analytical capabilities, structured data analysis training and certification can provide a practical way to develop these skills and apply them to organizational challenges.

Sign up for the Certified Data Analysis Professional and Practitioner certification:
https://kpiinstitute.org/certified-data-analysis-presentation/

Employee performance is becoming harder to measure as the nature of work changes. Roles are becoming more interconnected, skills are evolving rapidly, and organizations are asking employees to contribute beyond narrowly defined job outputs.

The World Economic Forum’s Future of Jobs Report 2025 found that 39% of workers’ existing skill sets are expected to be transformed or become outdated between 2025 and 2030. The report also identifies analytical thinking, resilience, flexibility, leadership and social influence among the core skills employers consider important.

For Employee Performance Management (EPM), this raises a practical question: Can organizations continue to assess performance effectively when what constitutes good performance is changing?

Results are only one part of performance

Targets and KPIs remain central to performance management, but they do not always capture the full contribution of an employee.

The CIPD’s 2026 performance management evidence distinguishes between task performance, behaviors and other aspects of contribution. It also notes that where work relies heavily on teamwork, organizations may need to incorporate team-based goals or behavioral objectives rather than relying exclusively on individual targets.

This becomes particularly relevant as collaboration and human skills remain important alongside technological capabilities. The World Economic Forum identifies collaboration, leadership, resilience and analytical thinking among the skills employers expect to remain important as work evolves.

The challenge is defining what good performance looks like

A performance system can only be as effective as its criteria.

Employees need to understand what is expected, how performance will be assessed and how their objectives connect to organizational priorities. The CIPD recommends aligning individual and team objectives with organizational strategy while recognizing that different types of work may require different approaches to measurement.

For complex roles, rigid targets may not be sufficient. Learning objectives, competencies and behaviors can provide additional evidence of performance, particularly where outcomes depend on collaboration or changing circumstances.

Managers have to interpret the data

Performance management does not end with collecting ratings and KPIs.

Managers have to interpret results, provide feedback and determine what action is appropriate. The CIPD identifies people managers as central to performance management, with responsibility for connecting organizational and individual objectives, giving feedback and holding employees accountable. It also describes performance management as a continuous cycle rather than an isolated event.

That makes managerial capability an important part of the system. Clear criteria and data can support better decisions, but managers still need to understand the context behind the numbers.

Performance systems also need to account for changing skills

The skills an employee needs today may not be the skills the organization will need several years from now.

The World Economic Forum reports that 59 out of every 100 workers are expected to require training by 2030, reflecting the scale of anticipated workforce reskilling and upskilling needs.

For EPM systems, this creates a stronger connection between performance assessment and employee development. Competency frameworks, feedback and development objectives can help organizations identify not only whether employees are delivering current responsibilities, but also where capability needs to develop.

Building the capability

Designing an EPM system around objectives, performance criteria, competencies, feedback and improvement requires more than an appraisal form. The Certified Employee Performance Management Professional and Practitioner certifications from The KPI Institute cover EPM system architecture, strategic alignment, performance processes, criteria and competencies, as well as calibration and bias mitigation. For professionals responsible for designing or applying employee performance systems, the programs provide a structured framework for connecting performance management with organizational goals and practical workplace requirements.

Sustainability reporting has moved from a voluntary communications exercise to a regulatory obligation. Under the EU’s Corporate Sustainability Reporting Directive (CSRD), thousands of companies now face detailed, audited disclosure requirements on environmental, social and governance (ESG) performance — with similar expectations building through the ISSB standards internationally.

For many organizations, the instinct has been to treat this as a reporting problem: build the disclosures, satisfy the auditors, move on. A growing body of research suggests that framing is too narrow — and that organizations already running a Balanced Scorecard (BSC) are better positioned to meet these requirements as a matter of strategy rather than compliance.

Compliance is the floor, not the framework

A 2025 study in Management Decision makes this case directly. Examining how companies can operationalize the CSRD, the researchers propose implementing its requirements through a sustainability balanced scorecard, arguing that the exercise should integrate sustainability with corporate governance rather than sit alongside it as a separate disclosure workstream. Their proposed framework moves through four steps — identifying material themes, assessing current capability, formulating strategy and then reporting — deliberately placing reporting last, as an output of strategic work rather than its starting point.

That sequencing matters. Organizations that build ESG metrics only to satisfy disclosure rules tend to end up with indicators that are audit-ready but strategically disconnected — numbers that describe activity without informing decisions.

A well-established extension of a familiar framework

The idea of adapting the BSC for sustainability is not new; the “sustainability balanced scorecard” (SBSC) has been studied for over two decades. A 2025 bibliometric review of 247 publications on the subject found that the SBSC consistently strengthens organizations’ capacity to align sustainability goals with core strategic objectives, while also flagging persistent implementation barriers — chiefly, the difficulty of choosing sustainability indicators that are both meaningful and comparable across business units.

Sector-specific applications reinforce the pattern. A 2024 study of fast-moving consumer goods companies proposed a method for operationalizing ESG-adapted corporate strategy through the BSC’s four perspectives, translating climate and sustainability targets into the same cause-and-effect logic FMCG firms already use to manage financial and customer outcomes. Separate research on Indonesian manufacturing firms found that integrating ESG considerations into BSC design produced positive, statistically significant improvements in sustainability performance across all four scorecard dimensions — evidence that the framework does not need to be reinvented to absorb ESG, only extended.

It is not only a private-sector question

The pressure to link sustainability reporting to genuine strategic management extends beyond corporations. A 2025 study of local government organizations examined how municipalities are implementing ESG indicators within their balanced scorecards, finding that institutions incorporating sustainability into their performance frameworks — rather than treating it as a separate policy initiative — reported stronger policy coherence and citizen engagement. Leadership commitment and stakeholder participation emerged as the critical success factors, echoing what the private-sector research also finds: the framework only delivers value when it is genuinely used to manage strategy, not simply populated with new metrics.

The strategic risk of getting this wrong

None of this suggests ESG integration is straightforward. The same body of research is candid about where organizations struggle: selecting indicators that are material rather than merely available, avoiding a proliferation of metrics that dilutes strategic focus, and ensuring that sustainability targets are cascaded through the organization with the same discipline applied to financial ones.

That is precisely the discipline a well-designed Balanced Scorecard system is meant to enforce. The organizations best placed to meet ESG reporting obligations without derailing focus are, generally, the ones that already have a structured way of connecting objectives, KPIs and initiatives across the business — and are extending that same structure to sustainability, rather than building a parallel system for it.

Building the capability

As reporting requirements tighten and stakeholders — investors, regulators, customers — expect sustainability performance to be managed with the same rigor as financial performance, the ability to design and cascade a scorecard that genuinely integrates ESG becomes a strategic capability, not an accounting task.

The Certified Balanced Scorecard Management System Professional program from The KPI Institute equips participants to design, implement and cascade a Balanced Scorecard system built to hold up under exactly this kind of pressure — where strategy, KPIs and reporting obligations all need to move as one.

Artificial intelligence is changing how organizations make decisions, allocate resources and respond to opportunities. But as the business environment becomes more dynamic, how should organizations adapt the way they execute strategy?

Artificial intelligence is moving beyond experimentation and into the core of business operations. The World Economic Forum’s Future of Jobs Report 2025 found that 86% of employers expect AI and information-processing technologies to transform their businesses by 2030. At the same time, the Forum identifies resilience, flexibility and agility among the core skills expected to remain important as organizations adapt to technological and economic change.

This combination creates a strategic challenge.

Organizations can use AI to process information faster, identify patterns and support decisions. But they still need the organizational capability to translate those insights into action.

And when the assumptions behind a strategy change, execution may need to change with them.

This is where agile strategy execution becomes particularly relevant.

AI can accelerate decisions. What happens next?

AI can give organizations access to new sources of information and new ways of working. Yet adopting AI does not automatically translate into better organizational performance.

A peer-reviewed study published in the International Journal of Information Management examined data from 205 supply-chain executives in the United States and found that AI assimilation was associated with organizational agility, customer agility and firm performance. The researchers also found that organizational and customer agility partially mediated the relationship between AI assimilation and firm performance.

The finding suggests that the organizational response to AI matters alongside the technology itself.

More recent research reinforces the connection. A 2025 study in Industrial Marketing Management examined 246 B2B firms in Australasia and found that AI-enabled systems can support innovation through improved decision-making performance, while strategic agility plays a significant role in the relationship between AI adoption, decision-making and innovation.

The implication for strategy professionals is straightforward: AI may improve the information available for decision-making, but organizations still need the ability to respond effectively to what that information reveals.

Agile does not mean changing strategy every time something changes

Agility is sometimes reduced to the idea of moving quickly or changing direction whenever something new happens.

For strategy execution, that interpretation is too narrow.

Agility can instead mean having a structured way to sense changes, evaluate their implications, take action and adjust implementation while maintaining strategic direction.

Consider an organization that launches a strategic initiative based on a particular customer process. Six months later, an AI capability makes part of that process significantly faster or less expensive. The strategic objective may still be valid, but the initiative supporting it may no longer be the most effective way to achieve it.

An execution-oriented organization needs to be able to recognize that difference.

Recent research supports this broader view of agility. A 2025 study published in Industrial Marketing Management found that organizational learning can contribute to strategic agility in volatile, uncertain, complex and ambiguous environments, with the researchers emphasizing continuous learning, decentralized decision-making and adaptability.

Agility, therefore, is not simply about speed. It is about the organization’s capacity to respond intelligently to changing conditions.

The execution problem is also a coordination problem

Strategy does not execute itself.

A systematic review in the European Management Journal describes strategy implementation as a dynamic and complex process through which managers and employees turn strategic plans into reality. The review identifies managerial actions, organizational conditions and dynamic managerial capabilities as important elements of effective implementation.

That means execution involves considerably more than approving a strategic plan.

People need to understand what the strategy means for their work. Resources need to be aligned with priorities. Different functions need to coordinate their efforts. Leaders need to monitor progress and intervene when implementation begins to diverge from strategic intent.

This becomes even more important when technology is changing rapidly.

A peer-reviewed study on strategy implementation and organizational agility found that organizational agility can influence managerial discretion, which in turn supports strategy implementation and unit performance.

In practical terms, organizations need enough structure to maintain strategic alignment—but enough flexibility to allow decision-makers to respond when circumstances change.

What should organizations actually monitor?

This is where performance measurement enters the picture.

A strategy needs more than objectives and initiatives. Leaders also need evidence that implementation is moving in the intended direction.

KPIs can provide that visibility.

When appropriately connected to strategic objectives, KPIs can help organizations monitor implementation, identify performance gaps and determine where management attention may be required.

In a rapidly changing environment, however, measurement should not become purely retrospective.

A significant change in a KPI can prompt a broader strategic question:

Does the original plan still make sense?

This creates a feedback loop between strategy and execution. Performance information does not simply tell an organization whether it achieved a target; it can also provide evidence for deciding whether an initiative, resource allocation or implementation approach needs to change.

This view is consistent with research published in Long Range Planning on strategy implementation, which conceptualizes implementation through practices including structure and process matching, resource matching, monitoring, framing and negotiating.

The result is a more dynamic understanding of execution: strategy provides direction, while implementation generates information that can inform subsequent strategic decisions.

Agile strategy execution is becoming a practical discipline

Recent research is also beginning to connect agile principles directly with strategy deployment.

A 2025 study published in Management Research Review examined strategy development and deployment within an automotive company through 39 semi-structured interviews. The researchers identified challenges involving process integration, communication, information quality, strategy mentality and coordination, and proposed an agile framework for strategy development and deployment.

This is significant because agile principles have often been associated with project or product development rather than the broader process of executing organizational strategy.

The emerging research suggests that the same underlying challenge exists at the strategic level: how can organizations maintain direction while responding effectively to new information and changing conditions?

For professionals responsible for strategy and performance, that requires a combination of planning, measurement, stakeholder engagement, monitoring and change management.

Building the capability to execute strategy

The Certified Agile Strategy Execution Professional (C-ASE) from The KPI Institute is designed around this challenge.

The program introduces a proprietary framework for strategy implementation and combines best practices with practical advice, process maps and implementation tools.

Participants develop capabilities to:

• Use strategy planning tools
• Deploy KPIs to monitor strategy implementation
• Engage the right stakeholders in strategy execution
• Monitor strategy implementation
• Drive organizational change

The live-online certification involves 40 hours in total, including four hours of pre-course requirements, 20 hours of live online sessions delivered over five consecutive days, three hours for an Individual Learning Map, a one-hour certification exam and 12 hours of after-course requirements.

Participants also gain access to the international Certified Agile Strategy Professional Community and can pursue international recognition for their strategy execution skills.

The next question for strategy professionals

AI is changing what organizations can do. It is also changing the speed at which assumptions can become outdated.

The strategic challenge, therefore, is not simply adopting AI. It is developing the organizational capability to turn new information and capabilities into coordinated action—and adjust that action when circumstances change.

That is where agile strategy execution becomes relevant.

For professionals working in strategy, performance management and organizational transformation, developing this capability can help strengthen the connection between strategic objectives, initiatives, KPIs, stakeholders and organizational change.

Explore the Certified Agile Strategy Execution Professional →

Picture the last strategy offsite your organization ran. The whiteboard full of ambitions. The slide deck with the five-year vision. The applause when the CEO said “this is the year we execute.” Now, picture where that plan is today.

If your company looks anything like most, it’s sitting half-finished in a folder nobody opens.

That’s not a guess.

According to Harvard Business School Professor Robert Kaplan, co-creator of the Balanced Scorecard, 90% of organizations fail to execute their strategies successfully. Read that twice. Most strategy work in most companies simply dies somewhere between the whiteboard and the results dashboard.

The real problem isn’t strategy

Ask around and you’ll hear the usual excuses: bad market timing, weak leadership buy-in, a distracted team. A 2026 benchmark of 180 strategy and operations leaders tells a more specific story: 86% of companies have employees who cannot actually name their organization’s strategy, and only 7% of leaders say more than three-quarters of their teams’ daily work connects back to it. In 93% of companies, a meaningful share of daily work simply isn’t serving the strategy at all. People aren’t failing to execute strategy. They’re failing to even see it.

Academics have spent decades trying to pin down exactly how bad this gets, and the honest answer is: it varies more than any single number suggests.

A review published in the Journal of Management & Organization found implementation failure estimates ranging from 28% to 90% across the literature, largely because most of the evidence behind those headline figures is outdated, fragmented, or thin. What the research does agree on is this: writing a good strategy is rarely the hard part. Making it survive contact with the organization is.

What this means for business planning professionals

Here’s the uncomfortable part: none of this is a strategy-writing problem. Every failed plan in these studies started with a strategy someone believed in. What separates organizations that execute from the ones that don’t is the discipline of planning practice — clear ownership structures, cascading goals people can actually name, review rhythms that catch drift before it becomes failure, and metrics built to be used, not filed.

That discipline is a learnable craft, not a personality trait some executives happen to have. It’s built through structured frameworks, KPI design, and planning methodologies that hold up once the offsite excitement fades.

If you want to move from writing plans to making them stick, this is exactly what The KPI Institute’s Strategy and Business Planning certification is built around. Bring the practical toolkit back to your organization. Sign up for the course →

The KPI Institute recorded 44,900 participants across its educational programs as of the latest mid-year attendance record. Behind that figure is a community of professionals who have taken part in courses covering strategy, performance management and related areas through different learning formats.

The programs have reached professionals across multiple regions worldwide, with the Middle East accounting for the largest share of participants, followed by APAC, Africa, Europe, South America, and North America.

What are participants learning?

The KPI Institute serves professionals with different learning preferences, with face-to-face courses attracting the highest participation, followed by live online and pre-recorded formats. This mix reflects a combination of classroom-based and digitally accessible learning.

Certification represents an important part of the institute’s professional development offering, covering areas related to performance management, KPI management, strategy and business planning, data, and organizational performance.

Its international reach is reflected in activity across 60 countries, with more than 3,000 courses delivered as of the latest available data. This geographic spread highlights the accessibility of the company’s learning and certification offerings to professionals across different markets and organizational contexts.

Participation has also shown steady growth over the reporting period, increasing month by month from January through July. The latest available figure reached 44,900 participants, reflecting continued expansion of the institute’s global learning community.

The course portfolio covers a broad range of disciplines in strategy, business planning, performance management, and KPI development. Participants can develop skills in Strategic Planning, Strategy Execution, Business Planning, the Balanced Scorecard, Performance Management, Performance Measurement, Performance Management Systems, and Performance Maturity.

The portfolio includes specialized learning in Key Performance Indicators (KPIs), KPI Measurement and Reporting, KPI Target Setting, KPI Selection, and KPI Management, as well as Objectives and Key Results (OKRs). Together, these courses help professionals translate strategy into measurable objectives, establish appropriate performance measures, design management systems, and use performance information to support organizational improvement.

Moreover, the portfolio extends into employee performance, data, analytics, and decision-making, addressing the practical capabilities needed to manage and interpret performance information. Courses cover Employee Performance Management, Data Analysis, Data Visualization, Benchmarking, and Performance Reporting, alongside topics that strengthen the use of evidence in organizational decision-making. Participants learn how to work with performance data, identify meaningful patterns and comparisons, communicate insights effectively, and apply structured approaches to monitoring and improving results. Across the portfolio, the focus is on giving professionals practical frameworks, methods, and tools that can be applied directly to organizational performance and professional practice.

What graduates say

Participants have highlighted the practical and engaging nature of the learning experience. Meshal Almotairi, Senior Dietitian at the Saudi Food and Drug Authority, described the course as “a great learning and revision tool,” noting that the quizzes helped reinforce understanding and that the knowledge gained was valuable enough to share with colleagues.

Ibrahim Neyaz, Director of Business Process Management & Strategic Information Department at the Saudi Food and Drug Authority, similarly emphasized the practical focus, saying the course helped him understand KPIs and how to implement them within his organization. He particularly valued the real-life exercises, which enabled him to analyze how KPIs could be developed for different departments and aligned with strategic objectives.

The organizational impact of the learning is also reflected in the experience of Ferenc Gabor, Managing Director of Process Solutions S.R.L. Following training in the Balanced Scorecard and KPI areas, Gabor said his organization was “very pleased with the quality of the course and training” and was applying the knowledge gained within the company. These experiences point to the practical application of the institute’s training beyond the classroom, from strengthening individual understanding of performance concepts to supporting organizations in applying structured approaches to strategy and performance management.

For professionals looking to build similar capabilities, the full range of courses is available here:

• Live Online Training Courses 2026: https://kpiinstitute.org/Live_Online_Training_Courses_2026_Calendar_a.pdf
• Face-to-Face Training Courses 2026 (EMEA): https://kpiinstitute.org/MENA_UK_Training_Courses_2026_Calendar.pdf
• Face-to-Face Training Courses 2026 (Southeast Asia): https://kpiinstitute.org/SEA_Training_Courses_2026_Calendar.pdf

Considering a strategy and performance management certification can raise practical questions about registration, time commitment, certification requirements, interaction, support, resources, and technical requirements.

The KPI Institute’s FAQ for its 2026 worldwide live-online certifications addresses these questions.

How do I register for the course?

Similar to the open face-to-face programs, the online programs have an application and admission process in place. Participants are required to fill in the application form and process the payment for the course in order to register. A confirmation email will be sent once the registration has been completed.

How much time should I expect to allocate to complete all course requirements?

The total expected time is 40 hours. This includes:

• Pre-course requirements: 4 hours
• Live online sessions: 20 hours, 4 hours per day, for 5 consecutive days
• Individual Learning Map and exam preparation: 3 hours, 0.5 hours per day after each live session, and 0.5 hours for the final recap before the exam
• Certification Exam: 1 hour
• After-course requirements: 12 hours

What will I receive upon completing the program?

The certification process is finalized only when all three stages of the learning experience have been completed. Participants will receive the following:

• Certificate of Completion: After completing the pre-course activities and passing the Certification Exam
• Certificate of Attendance: After participating in the online training course
• Certified Professional diploma: After successfully completing all three stages of the learning experience
• CPD Certificate of Attendance: Once Professional status has been successfully obtained

Will I be able to interact with the facilitator and other participants?

Yes. The learning experience is designed to encourage interaction. The facilitator will address participants’ questions and provide feedback during the sessions, as well as share best-practice information on the topics being discussed.

Participants will also be encouraged to share their own experiences and work and participate in group discussions during the online course and through the E-Learning platform before and after the course.

What support can I expect throughout the program?

Participants can expect support throughout the program. Content-related questions will be addressed by the facilitator, certification process queries by the Education Team, and technical questions by IT specialists.

Challenges during the course can be addressed through the E-Learning platform, email, phone, or during the live online sessions.

What resources will I get access to?

To help participants implement the knowledge they have gained in their organization and support further learning on the topic, the following resources will be made available:

• Premium Subscription on smartKPIs.com for 6 months, providing access to 500 fully documented KPIs and over 20,000 KPI examples
• One research report from the Top 25 KPIs series
• Free access to all webinars from the 2014 to 2016 Performance Management series
• Performance Management Toolkit containing Excel-based templates for Desired State of Evolution, Strategy Map, Scorecard, Dashboard, Portfolio of Initiatives, KPI Documentation Form, KPI Report Form, and Initiative Description Form
• The KPI Infographic
• The Performance Management in 2012, 2013, and 2014 reports
• Catalogues and Fact Sheets
• VideoDoodles
• Training slides and course notes

What technical requirements are needed to join the course?

Joining the platform is simple, and participants do not need advanced technical skills. They simply need to click on a link to open the app and join. After that, they select “use computer audio” and are ready to participate.

If I have attended face-to-face training before, can I get a 1:1 session with a consultant?

Yes. 1:1 sessions with subject matter experts can be organized on request, regardless of whether participants have attended a past public or in-house course.

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Check out the schedule of the strategy and performance management courses for the rest of 2026:

• Live Online Training Courses 2026: https://kpiinstitute.org/Live_Online_Training_Courses_2026_Calendar_a.pdf
• Face-to-Face Training Courses 2026 (EMEA): https://kpiinstitute.org/MENA_UK_Training_Courses_2026_Calendar.pdf
• Face-to-Face Training Courses 2026 (Southeast Asia): https://kpiinstitute.org/SEA_Training_Courses_2026_Calendar.pdf