Research

When it comes to cutting-edge analytics initiatives, you’re probably more inclined to think of companies like Amazon and Netflix, which have become synonymous with the savvy use of analytics to gauge customer affinity and deliver recommendations. But pharma companies are—or could be—well equipped to leverage data and analytics to deliver an even better informed and better targeted customer experience.

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Inquiry Response: Developing Governance Models for Mature Analytics Organizations

By IIA Expert, Feb 05, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We have a mature analytics organization with over a thousand models in production. At this point we know we need a more rigorous governance model than we currently have. Can we speak with someone who can help us think this through?

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Inquiry Response: Marketing Analytics Capabilities Internally

By Jenny Moede, Jan 15, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We have a hub-and-spoke analytics model with analysts in different divisions. My team is tasked with increasing the maturity/value of the analytics being used across the Enterprise. How can we market ourselves so the analysts across the enterprise understand the full breadth of what our team can do?

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Improving Analytics Measurement 

By Robert Morison, Jan 10, 2018

Available to Research & Advisory Network Clients Only

This five-part research brief is designed to assist analytics leaders in taking stock of their analytics measurement programs, recognizing and filling any significant gaps, and raising their ability to communicate with the business and its leadership about analytics. This brief provides background and summarizes results and recommendations across the four measurement categories. A separate brief on each category details its findings. In this research, we surveyed 19 enterprises and asked, in each of the four categories, what metrics they use, what they’re good at and what they struggle with, and whether their measures incorporate five common methods or inputs: trends over time, internal customer views, external customer views, external benchmarks, and lessons learned.

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Inquiry Response: Balancing Centralized and Decentralized Analytics Functions

By Dave Cherry, Jan 08, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We are interested in discussing what specific use cases and responsibilities should be assigned to central analytics function and what use cases are better allocated to decentralized business units.

Another consideration would include analytic employee engagement – variety of work, career pathing, shared expertise, training/development, retention, and connection of decentralized resources. 

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Inquiry Response: Thoughts on Governance for Successful Enterprise Analytics

By IIA Expert, Dec 18, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We are becoming more data-centric at an organizational level, but do not have a governance process in place. In our highly regulated industry, how might we approach this? What should we be thinking about?

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Inquiry Response: Thoughts on a Bottom-up, Change Management Approach

By Jenny Schmidt, Dec 11, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

Now that we have our EDW technology in place, my group’s challenge is developing analytics talent across the enterprise. How can we do this in a way that gets us to where we need to be without increasing resistance from the business?

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Phone Briefing: Improving Measurement of Analytics

By Robert Morison, Dec 01, 2017

Available to Research & Advisory Network Clients Only

One of the continual challenges for analytics leaders is measuring the work of their analytics groups and communicating the results to business leaders. Sound measurement and transparency form the foundation for strong working relationships, adequate funding of analytics, and trust in the analytics organization. In this phone briefing, IIA Lead Faculty Member, Bob Morison shares highlights of recent research and discuss best practices in the four key domains of analytics measurement: Intent, Performance, Results, and Health.

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Inquiry Response: Growing Data Driven Decision-Making as a Core Competency

By IIA Expert, Nov 27, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I’m involved in a long term project to make data driven decision-making a core business competency and are planning a champion network. We have a federated structure that will give autonomy to the business units, and we’ll also have a center of excellence. What advice can you offer us as we move forward?

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Inquiry Response: Promoting Analytics and Collaboration Across the Enterprise

By IIA Expert, Nov 06, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I’ve been tasked with building enterprise analytics across many functional groups. How have other organizations built a Center of Excellence from the ground up in a de-centralized environment? How did they develop the program and encourage adoption?

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