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 central to IIA’s mission of helping organizations navigate the many challenges to achieving analytics maturity,…

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 and how you will enhance them. To fulfill this need, experts at IIA have made…

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 analytics programs require an information economy oriented to the demand. This means moving away from…

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 and Priorities research brief, data analytics thought leaders and evangelists Bill Franks (CAO, IIA), Tom…

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 a healthier end result. This is true of analytics operating models as well. Every firm…

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 goes against inclination and time-honored assumptions. This eBook provides an overview of IIA's Data-Driven Culture…

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 Governance 2.0 (DG2.0) focuses on a collaborative approach, bringing together business, technology, and data leaders…

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 within an organization by tapping into the energy and passion of individuals around topics, ideas,…

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 techniques. The road to self-service will require flexibility, agility, and resilience as you both incent…