What are the common hurdles encountered when putting analytics to work in a business, both in developing analytical models and applications and in building enterprise analytical capability? This question is…
If you are trying to shift the balance of your work beyond descriptive analytics to more advanced predictive, prescriptive projects, you likely need to explicitly map out your analytics capabilities…
Every organization has an information economy with a supply side that provides data and tooling to analysts and a demand side that consumes data and analyses to make decisions. Advanced…
Curious about what lies ahead in 2022 for data and analytics leaders and teams and how you should consider shifting your priorities in response? In the free IIA 2022 Predictions…
Operating Models Are Like Diets Everyone eats and so everyone has a diet. Some people, however, are more intentional in their diet, which can lead to better long-term outcomes and…
In non-data-driven businesses, data may play a role in decision-making, but it doesn’t drive decisions. In contrast, data-driven businesses let data guide decisions, outcomes and strategies, even when the 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…