Research

Inquiry Response: How to Think About Cleaning Up Enterprise Data

By IIA Expert, Feb 12, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

My team is tasked with guiding data cleanup as part of our data governance efforts. Is there an efficient way to discover where the problem areas are in the enterprise data sources? What should we consider as we think about solutions?

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If you’re in the analytics space, then you almost certainly have at least one “dashboard” customers use. I generally define dashboards as the landing page for your service when people log in, and so keep that in mind as you browse these design suggestions…

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Inquiry Response: With New Technology, Focus on your Business Needs and Goals

By Mic Farris, Jan 29, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We want to lead our company into new analytics frontiers. How do we know what technology we to be looking at next?

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Inquiry Response: Managing Tableau Implementation

By IIA Expert, Jan 22, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

Our enterprise analytics team is being urged to use Tableau for reporting and visualizations rather than our current tool, Cognos. We’re looking for insights on implementation of Tableau for the enterprise.

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While many companies are investing in online and other digital tools, most have not developed a comprehensive omnichannel strategy to deliver great customer experiences over multiple customer touch points. Legacy marketing mindsets, just like legacy IT mindsets undermine the ability of companies to explore and experiment with all whole new range of digitally enabled customer engagement tools.

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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: Data Retention Policies for the Enterprise

By IIA Expert, Jan 02, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

What should we consider as we think about data retention policies? We’re trying to decide how long to keep data in general and specifically for customer lifetime value.

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The Post-Algorithmic Era Has Arrived

By Bill Franks, Dec 14, 2017

Last week, IIA hosted our annual Predictions and Priorities webinar, as well as the associated research brief. When we sat down to determine what we should focus on this year, Tom Davenport and I both immediately raised a trend that we’ve recently been discussing with organizations. After reconciling our semantics, we realized that we were both excited about the same base trend. I want to reiterate it here as I think it is a critical trend to understand and adapt to. Namely, “the post-algorithmic era has arrived”.

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Inquiry Response: Planning to Standardize Metrics Across the Enterprise

By Mark Molau, Dec 04, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We’re moving to establish standardized metrics across our business units and divisions. What’s important to consider as we begin this transition? How can we socialize what we create and encourage adoption?

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Inquiry Response: Thoughts on Platforms and Recruitment, Looking to the Future

By IIA Expert, Nov 20, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

What hard packages are being taught in data science programs (SAS, Stata, SPSS, R, Python, etc.)? We’ve seen a shift away from proprietary platforms. How are organizations reacting to attract and retain new talent? What does the future look like in this space?

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