Performance management looks straightforward when it is written down. KPIs get defined, dashboards get built, reports go upward, and decisions are expected to follow. In practice, the link between measurement and action often feels weaker than it should be.

A study published in the International Journal of Productivity and Performance Management found that a large portion of organizations struggle to connect performance measurement systems with actual strategic execution, even when KPI frameworks are already in place .

That gap tends to push performance management work into redesign territory rather than simple reporting.

When KPIs exist but decisions still drift

Most organizations do not suffer from a lack of data. They suffer from too much of it, without clear structure.

Research shows that excessive KPI counts can reduce managerial focus and weaken prioritization quality, especially when metrics are not clearly tied to strategic objectives .

This is where dashboards start looking complete but still leave leadership discussions unclear.

Strategy execution still struggles in many settings

A peer-reviewed study in Strategic Management Journal observed that strategy implementation failures often stem from weak alignment between planning systems and operational measurement structures .

Even when strategic goals are well defined, the absence of a structured performance system can slow down execution and reduce consistency across departments.

What structured performance management training focuses on

The KPI Institute’s Certified Performance Management Professional program is built around this type of gap between strategy and execution.

The focus is less about isolated KPIs and more about how a full performance system operates. Strategy mapping is used to translate high-level objectives into measurable elements. Scorecards and dashboards are treated as decision tools rather than reporting outputs.

A significant part of the learning also looks at performance governance. That includes how reporting flows are structured, how accountability is distributed across teams, and how data quality is maintained so that reporting cycles remain consistent.

There is also emphasis on how performance systems support real operational decisions, particularly when KPIs signal underperformance and require structured action rather than informal response.

Topics usually discussed inside the program

The content moves across several connected areas of performance practice rather than isolated tools.

There is coverage of how performance management systems developed over time and how modern environments introduced new pressures such as digital transformation, ESG reporting requirements, and stakeholder expectations.

A large portion of the discussion focuses on system architecture. This includes how strategy maps, scorecards, dashboards, and initiative portfolios work together rather than function separately.

Governance models also take a central role. Topics include reporting structures, data quality control, audit readiness, and how performance responsibilities are distributed across organizational levels.

On the operational side, attention goes into diagnosing weak KPIs, tracing root causes, and translating findings into structured improvement initiatives that can be tracked over time.

Educational resources and practical support materials

Alongside the sessions, participants receive a set of structured materials that support real application work.

At The KPI Institute, these typically include course slides, detailed notes, quizzes, and reference guides that explain how performance systems are built and maintained in practice. There is also a performance management poster and supporting documentation formats used for initiative tracking.

The learning materials extend further into published research reports on performance management trends and strategy execution practices, covering multiple years of industry observation.

A large part of the toolkit focuses on ready-to-use templates. These include strategy maps, scorecards, dashboards, performance maturity models, initiative portfolios, KPI documentation forms, and monthly reporting structures. Separate guides also explain how to build and administer scorecards and dashboards in operational settings.

Additional resources include KPI catalogues, glossary references, and curated publications that document how organizations structure performance systems in real environments.

Participants also gain access to video content and webinar series that cover applied performance management topics, along with a KPI database containing hundreds of fully documented indicators and thousands of additional KPI references for benchmarking and design work.

So does a certification like this actually matter?

The usefulness depends on where someone stands inside an organization.

When performance systems already function smoothly, the benefit may feel incremental. When reporting is fragmented, KPIs are overloaded, or strategy execution feels disconnected from measurement, structured training becomes more relevant.

The core focus is not on learning more metrics. It is on understanding how performance systems are built, governed, and used so that strategy, measurement, and action do not operate in separate lanes.

In many organizations, that alignment is still the missing piece.

To better understand whether a performance management certification fits your needs, take a look at how The KPI Institute delivers the Certified Performance Management Professional program in this brochure.

_____________________________________________________________________________________

The KPI Institute is a global leader in business performance research and solutions, specializing in practice domains including strategy, key performance indicators (KPIs), employee performance, customer service, and innovation management. For over 20 years, The KPI Institute has established international standards and best practices for KPIs across both private and public sectors.

What We Offer:

• Certifications & Training: Practical programs delivered worldwide—live online, offsite, and customized—spanning 6 continents and 7 offices in Australia, Southeast Asia, Europe, and the Middle East.
• Knowledge Platforms: Access to www.smartKPIs.com, the world’s largest documented database of KPIs, with over 21,600 examples published and 148,000+ members in our online communities.
• Publications: Over 460 publications, including books, research papers, and practical guides, providing insights to enhance organizational performance.
• Advisory & Implementation Support: Expert guidance to apply insights in practice for measurable impact.

Our Reach and Impact:

• 81,000+ companies registered on our platforms
• 2.5 million+ professionals reached through training and knowledge services
• 128 research client countries and 120 global partner organizations 

Website: www.kpiinstitute.org.

Email: office@kpiinstitute.org

LinkedIn: The KPI Institute

Editor’s Note: “Business Analytics Trends: Is the Future of Data Here?” is an article written by Islam Salahuddin and originally published in the latest edition of Performance Magazine. 

Machines don’t have a worldview, according to the famous translator Richard Pevear. That’s no longer the case today, especially with data analytics. Businesses turn to data analytics to survive and adapt to disruptions. At the same time, data analytics is evolving to meet the new challenges. Here’s a glimpse of how the already noticeable trends in the pre-pandemic world have accelerated and transformed data analytics in different ways.

External Data: Predicting the Demand for Hershey’s Bars 

External data is data collected and provided by third parties. Companies now need to incorporate data from the outside world to weigh external factors in their analytics. Examples of external data are trending narratives, real-time financial trends, and property values.

In a July 2021 article, FoodDive showed how the chocolate company Hershey used data generated by IRI, a global market insights and analytics provider, to predict the demand for Hershey’s six-bar product. Since Hersey knows the number of people who plan to make s’mores in their backyards, want to spend time with family and friends, and invest in their homes during the pandemic, the manufacturer is able to adjust their inventory and production, create a relevant marketing message, and even respond to the demand for other parts of their portfolio.

Data Monetization: Where the Opportunities Are

External data can be either free or paid. While it is true that most of the datasets of the COVID-19 are available for no charge, the escalating attention to external sources could draw more attention to the paid options. According to ResearchandMarket.com’s “Global Data Monetization Platform Markets Report 2021,” data bartering, data brokering, insights bartering, and business intelligence are the four channels that shape the business processes and data evolution across the value chain.

The report states that telecommunication giants could become value-added solutions providers and offer advertising solutions through monetizing consumer data. Digital platforms and services will dominate the data monetization space while insights-as-a-service is considered “the data monetization model of the future.” Other opportunities for tech vendors and enterprises are in data security and privacy, location data, and digital data monetization platforms.

AI-empowered Analytics and Beyond

The artificial intelligence (AI)-empowered analysis of unstructured datasets is known as cognitive analytics. It depends on real-time generated data of images, videos, text, and other forms created through social media networks and the Internet of Things (IoT) technologies. It is useful in running sentiment analysis on social media interactions as it allows for better understanding of customers’ emotions and ideas and thus enables a better customer service experience.

For IoT, small-size motion sensors can now be embedded in wearable products to understand customers’ activities and needs, giving valuable insights and opening horizons for new levels of customized products.

Agile Analytics: Catch Up if You Can

However diverse your analytics methods are, they will be of no use if you do not incorporate them into operations and act on them quickly, especially during disasters. Research published in the Open Journal of Business and Management states that being agile in the analytics process involves consciousness, accessibility, decisiveness, speed, and flexibility.

In a webinar, Hugh Owen, executive vice president and chief marketing officer at the MicroStrategy, a business intelligence (BI) firm, emphasized that agile data-driven decision-making requires an organizational strategy, deploying an analytics platform in the cloud for speed, power, and security, and using self-service BI analytics to empower end users and help them save more time. 

Shifting to Cloud-based Analytics

Work from home policies have stressed the benefit of cloud analytics. Cloud storage of data means that instead of keeping data files on hardware held in the brick-and-mortar premises, data files are uploaded, kept, and governed in advanced servers operated by third-party companies, through which the data is accessed and processed.

The benefits of cloud-based analytics include reduced costs of devices required for storing and securing data, accessibility from any device, and enhanced processing speed, depending on servers’ capabilities rather than local devices. 

Scaling Up with Data Lakes 

Conversations about the rise of data lakes have been around even before the pandemic. As the volume, velocity, variety, and value of data increase and constitute big data, the need for a new form of data storage arises. A data lake is different from simple tabulated data sets like spreadsheets, arranged in defined groups called data warehouses and sometimes categorized for specific uses called data marts. A data lake is like a swamp that is able to contain raw data in structured and unstructured forms and is generated in real-time.

The importance of such capability has been emphasized by the pandemic world as more real-time data is generated, allowing for more advanced AI-driven analytics. Adopting both a data lake in addition to a data warehouse will therefore be more relevant to businesses in the post-pandemic future.

Data is essential for businesses. It helps business leaders better understand their clients, predict consumer behavior patterns, identify trends, improve the quality of services provided, and support “organizational decision-making and strategy”, according to Forbes. 

To strengthen your knowledge in developing organizational strategy and business planning using a strategic framework, join The KPI Insititute’s Certified Strategy and Business Planning Professional Live Online course on 13-17 June 2022. Visit our website for further information and sign up here.