In non-data-driven businesses, data may play a part in decision-making, but it doesn’t drive decisions. Instead, leaders may rely on intuition, mistake conventional wisdom for facts, and use confirmation bias. Data-driven businesses let data guide decisions, outcomes and strategies, even when the data goes against…

Data governance has often been looked upon as a necessary hedge against legal or compliance issues, which often means it is looked upon as a burden to most. We refer to this as Data Governance 1.0 (DG1.0). The pain of ineffective data governance on analytics…

A Community of Practice (CoP) enables individuals to come together to work towards a common goal. Here are just a few reasons a CoP is worth considering: To improve analytics activities within an organization by tapping into the energy and passion of individuals around topics,…

To enable the change in demand-side mindset, IIA recommends leveraging a framework focused on what we believe are the four elements you will need to address to find success with self-service initiatives. These four elements - Surface Assumptions, Segment Audience, Incentives for Initiatives, and Identify…

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 result, meet or exceed the expectations of…

The growth of data itself, and more importantly 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…

An analytical application combines data and computationally-intensive logic – coded by machines or people – 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…

Companies that think strategically about analytics achieve the biggest impact from analytics. It takes a lot more than technology and talent to make analytics work. For analytics programs to thrive and make a positive difference within your organization, it is essential to structure your analytics…

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. IIA sees Analytics 4.0 – automated, embedded analytics – as a crucial phase in the evolution of advanced…