The Assessment is for performance-minded organizations that want to maximize the return on intellectual assets. We explore and analyze business process and outcome measurement, how reporting and analytics support continuous performance improvement, and profile analytics data sources, technology tools and processes. A Performance Analytics Roadmap is provided at the conclusion of the Assessment with recommendations that will reduce expenses, streamline processes and strengthen performance.

Performance Measurement

“When a performance measurement process works well, measures keep us focused on what we know matters most, people feel enlightened by the measures they use and motivated to improve performance, we know what current performance actually is and why, and we know where performance should or could be and what needs to change to get there.”

From Practical Performance Measurement by Stacey Barr, Performance Measure Specialist

Performance Analytics provides answers to questions derived from an evolving understanding of business dynamics based on performance measures. The Assessment analyzes the degree to which quality, performance, productivity and cost are measured across the organization to support continuous performance improvement.

Analytics Platform

After analyzing the organization’s performance measurement processes, the Assessment profiles and analyzes the Analytics Platform – the EDW architecture, ETL processes, Data Models, Data Governance and Security and Administration.

  • EDW Architecture – EDW data models and processes progressively transform applications data into intuitively accessible information for all business users. The Assessment profiles and analyzes the data flow, data models and data processes.
  • ETL – Extract, transform and load (ETL) processes move required reporting and analytics data from applications databases to a varying number of data repositories, depending on the size of the organization, the volume of data and the number of users. The Assessment profiles and analyzes the ETL processes from the various application data sources into the EDW.
  • Data Models – Immediate access to business critical management information is enhanced by functional data marts that include integrated relational and multidimensional databases that organize data in a manner that is intuitively accessible to business users.
  • Data Governance – Defining the standardized terms that will be used across the organization for all customer, product and organizational reporting and analytics is an essential and critical Performance Analytics function. The Assessment profiles the processes for defining the standard lexicon, as well as the implementing the Meta data across all reporting platforms.
  • Security and Administration – Well-defined user security profiles are a key attribute of intelligent organizations. The Assessment profiles user community functionality and information requirements, and how security profiles are used. EDW Administration is reviewed to ensure system utilization and backup processes are optimized.

Business Analytics

With an understanding of the organization’s Performance Measures and Analytics Platform, the Assessment profiles and analyzes the Business Analytics processes, content, cycle time and expense to develop and deploy reports and analytics across the organization.

  • Vendor Licenses – Within the context of enterprise business unit information requirements, vendor licensing cost and functionality will be profiled and evaluated to identify opportunities to reduce expenses and increase user information access. Many times, this is a BIG opportunity for cost savings, while dramatically extending reporting and analytics access throughout the organization.
  • Business User Self Service – This section addresses how business users are trained and secured to access and use reports and analytics. The majority of users only need view only access to pre-defined reports. Interactive reports with prompts and filtering, ad hoc report development, multidimensional model exploration, data discovery and other variations of information access will be profiled and analyzed, based on business community user needs.
  • Reports Libraries – Shared learning is a very big opportunity in most organizations. Modeling data usage and report definitions will identify redundancies and omissions, the questions that are not being asked or answered.
  • Analytic Models – Most organizations use significant time and expense to summarize information in spreadsheets and paste it into management reports. Automating standard and ad hoc online analytic processing (OLAP)/multidimensional reports can save great time and expense, as well as provide business users with far greater information than currently enjoyed.
  • Visualization – This section addresses how information is visually presented to provide immediate insight and understanding. Dashboards, scorecards, maps/graphs/charts and all other forms of visual information are reviewed and analyzed.
  • Predictive Analytics – This section addresses how models are developed and used to forecast customer and market behaviors.

Performance Analytics Roadmap

When the Performance Analytics Assessment has been completed and analyzed, recommendations are developed and presented in a Performance Analytics Roadmap. The Roadmap presents the information collected, comparing and contrasting current reporting practices against Performance Analytics Best Practices, and identifies opportunities for improvement.

A Return on Investment (ROI) Analysis is also presented that identifies current reporting and analytics costs, and forecasts expense savings when recommended best practices are applied. The Roadmap concludes with prioritized project recommendations to achieve maximum gain in minimum time for minimum cost.


Conducting the Performance Analytics Assessment signals a commitment to continuous performance improvement. Not all organizations are prepared to make that commitment. Those who make the commitment will enjoy the success and achievement of their decision.

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