
Embracing Data Governance
Data governance has often been looked upon as a burdensome but necessary hedge against legal or compliance issues, which we refer to as Data Governance 1.0 (DG1.0). In contrast, Data…
Data governance has often been looked upon as a burdensome but necessary hedge against legal or compliance issues, which we refer to as Data Governance 1.0 (DG1.0). In contrast, Data…
A Community of Practice (CoP) enables individuals to come together to work towards a common goal. Why should you consider starting a CoP in your organization? To improve analytics activities…
Self-service is best characterized as a broader business effort to continue the maturation of your enterprise analytics by identifying more and better business challenges against which to apply advanced analytics…
Analytics resources are scarce and the demands on those resources are ever increasing, so it’s critical to have a clear, transparent, and intentional method to source and execute the analytics…
A Comprehensive Data Strategy is Not Optional The growth in the demand for better decision-making with data means that a comprehensive data strategy is no longer a nice to have.…
An analytical application combines data and computationally-intensive logic to produce a mechanism for predicting future states, or prescribing actions in the present, that are demonstrably valuable to a business beneficiary.…
Companies that think strategically about analytics achieve the biggest impact from analytics. To realize the full potential that analytics offers, don’t overlook the importance of the way you organize your…
Building on its predecessor, Analytics 4.0 marks a point when organizational culture allows for the embedding of finished-product advanced analytics into decision flows and operational business processes. Centered upon the…
We are pleased that our annual Predictions and Priority research brief and the associated webinar have become among IIA’s most popular pieces of content of the year. This year, we’re…