The KPI Institute’s smartKPIs database now contains 21,780 documented key performance indicators (KPIs), reflecting the ongoing research conducted by The KPI Institute team into performance measurement across organizational functions and industries.
The database provides professionals with a collection of documented KPIs that can serve as a reference when identifying, selecting, and reviewing performance measures. Its content covers 16 functional areas and 25 industries, offering examples relevant to different organizational responsibilities and operating environments.
A database covering multiple functions and industries
The smartKPIs database includes indicators from a broad range of functional areas, from finance and human resources to technology, operations, and strategy. Users can search for KPIs related to Accounting, Corporate Services, Corporate Social Responsibility, Finance, Governance, Compliance and Risk, Information Technology, Knowledge and Innovation, and Marketing and Communications.
Other areas include Occupational Health and Safety, Online Presence and eCommerce, Portfolio and Project Management, Production and Quality Management, Sales and Customer Service, Strategy and Performance Management, Supply Chain, Procurement and Distribution, and Sustainability.
The database also covers 25 industries, including Arts and Culture, Construction and Capital Works, Education and Training, Financial Institutions, Government, Healthcare, Hospitality and Tourism, Manufacturing, Media, Retail, Telecommunications, Transportation, and Utilities.
This classification allows users to narrow their searches according to their professional responsibilities or industry context. For example, a human resources professional can look for indicators related to workforce performance, while a manufacturing specialist can consult KPIs relevant to production and quality management.
By bringing together indicators from different areas, the database offers a reference for professionals who need to identify potential measures for their departments, review existing performance measurement practices, or develop organizational scorecards.
Documented KPIs for professional reference
The collection includes more than 7,000 premium documented KPIs. Beyond KPI names, the platform provides access to definitions and additional documentation according to the user’s subscription plan.
Documented indicators can help professionals understand what a KPI measures before considering its application within their organization. This is particularly relevant when teams are reviewing their existing measures, comparing alternatives, or developing a consistent approach to performance reporting.
However, selecting a KPI requires consideration of the organization’s objectives, operating context, and available data. Indicators found in the database can serve as reference points, while their suitability should be assessed against the specific requirements of each organization.
The database is maintained through the ongoing research activities of The KPI Institute, which develops resources for professionals working in performance measurement and management.
Subscription options for different needs
smartKPIs offers four subscription plans, allowing users to select an access level according to their informational requirements.
The Preview plan is free and provides access to 100 KPI names per year. The Starter plan costs $19 for six months and includes access to 10 documented KPIs. The Standard plan costs $99 per year and provides access to 300 KPI names and definitions. The Premium plan costs $249 per year and includes access to 500 documented KPIs.
These plans offer different levels of access to the database, depending on whether users need to browse KPI names, consult definitions, or access documented indicators for more detailed reference.
Professionals can review the available features and compare subscription options on the smartKPIs website.
With 21,780 documented KPIs across 16 functional areas and 25 industries, smartKPIs remains a research-based resource for professionals seeking performance measures relevant to their work.
October 28th, 2026 Posted by Len CristobalCertifications, Courses
0 thoughts on “The KPI Institute’s professional learning programs now available on maentae”
The KPI Institute’s professional learning programs are now available on maentae, a licensed professional learning platform offering research-backed, expert-led courses and development programs for professionals and organizations.
Through this collaboration, professionals can explore a range of training and certification opportunities across key business performance and strategy domains, including KPI Management, Performance Management, Balanced Scorecard, Objectives and Key Results (OKRs), Data Analysis, Data Visualization, Strategy and Business Planning, Agile Strategy Execution, and Employee Performance Management.
The available programs include face-to-face, live online, and self-paced learning options, giving professionals greater flexibility in choosing formats that suit their schedules and development needs. The catalog also features practitioner-level programs and executive education qualifications in strategy and performance.
Flexible Payment Options for Learners in Saudi Arabia
Professionals in the Kingdom of Saudi Arabia (KSA) can also access flexible installment payment options through Tabby and Tamara when purchasing eligible programs on maentae. These options offer an alternative way to manage course payments, making professional development more accessible to learners seeking to build their skills and advance their careers.
The KPI Institute is a global research institute specializing in business performance, with more than two decades of experience advancing research across 12 practice domains. Its work spans research publications, knowledge platforms, professional training, and advisory services for organizations worldwide.
maentae connects professionals and organizations with practical learning opportunities developed through collaborations with trusted research and industry partners. Its programs focus on real-world challenges, measurable outcomes, and the application of knowledge in the workplace.
The availability of The KPI Institute’s programs on maentae provides professionals with another channel to discover relevant courses, compare learning options, and identify training opportunities aligned with their career and organizational development goals.
October 21st, 2026 Posted by adminCertifications, E-learning
0 thoughts on “Inside a KPI professional’s toolkit: from KPI selection to target setting”
Key performance indicators (KPIs) help organizations assess progress toward strategic objectives, monitor operational results, and identify areas that require attention. However, effective performance measurement involves more than choosing a few metrics and tracking their results. Professionals must also determine what to measure, establish appropriate targets, organize performance information, and review results in the context of organizational priorities.
A structured approach can help professionals move from selecting indicators to using performance data in decision-making. Understanding the key stages of this process is a useful starting point.
What Does a KPI Professional Need to Consider?
Developing a performance measurement system involves several connected activities. Each requires a different set of considerations and tools.
1. Selecting the Right KPIs
The first step is to determine which indicators best reflect the objectives being measured. A KPI should relate to a specific performance priority and provide information that supports assessment or decision-making.
Professionals can begin by examining strategic objectives, identifying the results that matter, and researching indicators relevant to their industry or functional area. They must then assess whether the selected KPIs are appropriate for their organizational context and whether the required data is available.
Using an indicator simply because it appears on a popular KPI list does not guarantee that it will be relevant to a particular organization.
2. Defining Measures and Targets
After selecting the indicators, professionals need to clarify how each KPI will be measured. This involves defining the metric, its calculation method, the data source, the reporting frequency, and the person or team responsible for monitoring it.
Target setting is another important step. A target establishes the expected level of performance within a defined period. It should be considered in relation to organizational objectives, historical results, available resources, and other relevant evidence.
Without clear definitions and appropriate targets, different teams may interpret the same KPI differently or struggle to assess whether performance meets expectations.
3. Organizing Performance Information
Once KPIs and targets have been established, professionals need a way to present and communicate the resulting information.
Scorecards and dashboards can organize indicators, targets, and actual results so that users can review performance more systematically. The format should reflect the needs of its intended audience. An operational team may require detailed measures for day-to-day monitoring, while senior management may need a more concise overview of strategic performance.
The choice of presentation also matters. Performance information should be understandable, consistent, and relevant to the decisions users need to make.
4. Monitoring and Reviewing Results
Performance measurement continues after a system has been designed. Professionals must review actual results against targets, investigate significant deviations, and determine whether corrective action is necessary.
A review should go beyond identifying whether a target was met. It should also consider the factors behind the result, the implications for organizational objectives, and the actions that may improve future performance.
Regular reviews can help organizations identify recurring issues, reconsider assumptions, and determine whether their existing indicators remain appropriate.
Why Reference Materials and Practical Tools Matter
Each stage of KPI management presents different challenges. Researching indicators requires access to relevant references. Designing a scorecard or dashboard requires a suitable structure. Monitoring performance requires clear definitions and consistent reporting practices.
Professionals do not necessarily need to develop every resource from scratch. Existing references and templates can provide starting points for their work, reduce the effort involved in preparing supporting documents, and help them explore different approaches.
However, these resources should be selected carefully. A template or KPI reference is most useful when it fits the organization’s objectives, industry, data requirements, and measurement practices. It should support professional judgment rather than replace it.
Exploring Resources for KPI Professionals
For professionals looking for reference materials and practical tools, The KPI Institute’s Marketplace brings together several resource categories related to KPI research and performance measurement.
KPI Dictionaries for Indicator Research
The KPI Dictionaries collection includes references organized by industry and functional area. Listed areas include healthcare, financial institutions, utilities, transportation, real estate, professional services, government, finance, human resources, information technology, marketing, supply chain, and sales and customer service.
These dictionaries can serve as starting points for researching indicators relevant to a particular business function or industry. Professionals can then assess which measures best correspond to their objectives and measurement requirements.
Templates for Scorecards, Dashboards, and Toolkits
The Templates collection includes resources for performance measurement and employee performance. Its categories include scorecards, dashboards, and toolkits, with examples for specific industries and functional areas.
Listed resources include recruitment agency scorecards and dashboards, restaurant performance resources, and templates for healthcare and library settings.
Professionals can explore these options when preparing performance reports or developing documents to organize and communicate KPI results. Any template should be adapted to the organization’s specific requirements.
smartKPIs Subscription Options
For ongoing KPI research, professionals can also explore the smartKPIs subscription options. The Marketplace lists Standard and Premium subscription options for accessing the smartKPIs resource.
Those who regularly research indicators across different projects or functional areas can review the available subscription details and assess which option suits their needs.
Building a More Structured Approach to KPI Management
Effective KPI management connects indicator selection, target setting, reporting, and performance review. Each stage contributes to a measurement process that helps professionals assess results and understand how they relate to organizational objectives.
The right resources can support this work, but their usefulness depends on how well they fit the organization’s context and how consistently they are applied.
Professionals seeking additional references for KPI research and performance measurement can explore The KPI Institute’s Marketplace, including its KPI Dictionaries, templates, and smartKPIs subscription options.
October 16th, 2026 Posted by adminCertifications
0 thoughts on “20 career trends to watch in 2027: How can professionals stay competitive?”
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.
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.
October 9th, 2026 Posted by adminCertifications, Courses
0 thoughts on “How to turn confusing charts into clear business insights”
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.
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.
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.
October 1st, 2026 Posted by adminCertification, Courses
0 thoughts on “The top 5 skills behind better data-driven decisions”
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.
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.
August 26th, 2026 Posted by Len CristobalCertification, Courses, E-learning
0 thoughts on “Over 44,900+ professionals took TKI’s KPI and performance courses. What did they learn?”
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:
August 21st, 2026 Posted by Len CristobalCertification, Courses, E-learning
0 thoughts on “How much time does a performance management certification take? And other questions”
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:
August 12th, 2026 Posted by Len CristobalKPIs, Publications
0 thoughts on “The 10 best-selling KPI dictionaries of 2026 (so far)”
Every organization says it’s “data-driven.” Far fewer can say every manager in the room means the same thing when they say “customer satisfaction,” “on-time delivery,” or “risk exposure.” That gap — between having metrics and having shared, defensible metrics — is where most performance management initiatives quietly stall.
It’s also the gap this list is built to close. Drawing on The KPI Institute’s own sales records for the first eight months of 2026, these are the ten KPI dictionaries that strategy and performance professionals turned to most often. Each earns its place here not because of how well it sold, but because of the specific problem it solves for the people who lead performance conversations rather than just sit in them.
1. The Healthcare KPI Dictionary: 300+ Key Performance Indicator Definitions
Healthcare performance is uniquely hard to standardize: clinical outcomes, patient experience, operational efficiency, and financial sustainability all compete for the same dashboard real estate. This dictionary lays out precise, industry-recognized definitions across all of them, so a hospital administrator and a clinical director can finally sit in the same meeting and agree on what “quality of care” is actually measuring.
2. The Constructions and Capital Works KPI Dictionary: 70+ Key Performance Indicator Definitions
Capital projects are notorious for cost overruns and timeline slippage that only become visible once it’s too late to correct course. This dictionary gives project sponsors and site leadership a common set of indicators — covering cost control, schedule adherence, safety, and quality — early enough in the project lifecycle to actually act on them.
For leaders operating across multiple sectors, or benchmarking against companies outside their own industry, this volume is the closest thing to a universal translator. It organizes thousands of indicators by industry vertical, making it possible to compare performance logic across manufacturing, retail, energy, and beyond — instead of assuming every sector measures success the same way.
4. The Local Government KPI Dictionary: 660+ Key Performance Indicator Definitions
Public-sector leaders answer to a harder audience than most: taxpayers, auditors, and elected officials, often with conflicting definitions of success. This dictionary gives municipal and government performance teams a vocabulary that holds up under public scrutiny — turning “we’re improving services” into indicators that can actually be reported and defended.
5. The KPI Dictionary: 3,200+ Key Performance Indicator Definitions — Volume 1: Functional Areas
Where Volume 2 organizes by industry, this companion volume organizes by function — HR, finance, marketing, operations, and more, all under one cover. It’s built for leaders whose real challenge isn’t finding a KPI, but finding the right one across departments that rarely speak the same performance language.
Supply chain reporting has outgrown “on-time delivery” as a catch-all metric. This dictionary reflects how granular the discipline has become — covering everything from inventory accuracy to supplier performance to fulfillment cost — giving supply chain leaders a reference precise enough to match how the function is actually run today.
7. The Accounting KPI Dictionary: 220+ Key Performance Indicator Definitions
Accounting functions tend to inherit their KPIs informally, one controller passing a slightly different ratio set to the next. This dictionary offers a standardized foundation instead — definitions precise enough to survive an audit and consistent enough to hold their meaning as teams and leadership change.
8. The Finance KPI Dictionary: 190+ Key Performance Indicator Definitions
Where accounting records what happened, finance is responsible for deciding what happens next — and that shift in purpose demands a different set of indicators. This dictionary picks up where its accounting counterpart leaves off, giving finance leaders the metrics to support forecasting, capital allocation, and strategic decision-making rather than historical reporting alone.
9. The Governance, Compliance and Risk KPI Dictionary: 130+ Key Performance Indicator Definitions
As ESG obligations and risk oversight climb further up every board agenda, “we’re managing risk” is no longer an acceptable answer on its own. This dictionary equips governance, compliance, and risk leaders with indicators built to be reported, audited, and defended — not just discussed.
10. The Knowledge and Innovation KPI Dictionary: 130+ Key Performance Indicator Definitions
Innovation is one of the hardest areas to measure honestly — it’s easy to track activity (patents filed, ideas submitted) and much harder to track whether any of it moved the business forward. This dictionary gives strategy leaders a way to measure knowledge management and innovation output with the same rigor applied to more traditional functions, instead of leaving it to anecdote.
None of these are generic introductions to KPIs. Each is a specific, functional reference chosen by people who already understood they needed better metrics and were looking for precision, not inspiration. That’s the real signal here: the professionals shaping strategy and performance management in 2026 aren’t short on ideas — they’re closing the gap between having a metric and having one that survives contact with a boardroom, an auditor, or a cross-functional argument.
