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Resources

Explore insights from IIA and select content from our research library below. Our content is always independent and driven by our clients’ everyday problems, challenges and initiatives.

Architecting a Modern Analytics Tech Stack

Buy or build? Cloud or on-prem? Packaged analytics software of custom Python? These are false choices. No business can afford to think of these choices in a binary way. The challenges in terms of business…

Data Culture & Data Literacy - Transformative Concepts or False Hope?

It seems every company is pursuing Data Culture and Data Literacy programs, but what exactly are they hoping to achieve? These topics get a lot of press, sound very inspirational, and a lot of really…

Disciplined Self Serve BI Enables Advanced Analytics

“Self-service is best characterized as a broader business effort to continue the maturation of your enterprise analytics. Core to that maturation is a focus on identifying more and better business challenges against which to apply…

Modernizing The Roles In Your Analytics And Data Science Organization

A recurring theme among analytics and data science leaders is the concern of not being able to keep up with all of the rapid change taking place – both individually and as a team. In…

A Framework For Establishing A Self-Service Program

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…

Prioritizing Analytics Efforts: A Framework

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…

Creating A Data Strategy

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…

Analytics Application Lifecycle Framework

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…

How to Effectively Prioritize Analytics Projects

During this webinar, Kathleen Maley will share her proven approach to prioritizing analytics projects. This approach can enable firms to ensure that their analytics efforts are meeting the expectations of business leaders and empowering analytics…


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Research & Advisory Network clients have full access to our research library including strategic frameworks, topic deep dives, leading practices from blue-chip companies and brief responses on the most common topics being worked on across the client community. In addition, clients can directly engage with authors through IIA’s Expert Network.

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