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…

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 projects that will secure business value, and, as a result, meet or exceed the expectations…

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. You need a data strategy. It needs to address questions about how to improve the…

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. An analytical application lifecycle model is a framework for analytics organizations to engage relevant internal…

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 analytics team. Here are three key factors to consider: Analytics has the power to reshape…