When Design Thinking Meets Data Science

When Design Thinking Meets Data Science

In the world of big data and predictive analytics the standard approach for gathering and analyzing data follows the CRISP-DM approach. While the CRISP-DM model has been a good approach on which to structure many projects, it suffers from the same issues waterfall-style requirements gathering approaches to software design have suffered from, including: Longer time to understand the...

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How to Build an Analytics Center of Excellence to Tackle Utility Problems

How to Build an Analytics Center of Excellence to Tackle Utility Problems

We recently attended the annual gathering of utility practitioners at Utility Analytics Week in San Antonio. A common theme discussed was “how do we get started?”, “where do we start?”, and “how do we justify the cost?”. Electric utilities are becoming increasingly digitally-oriented and data intensive with the adoption of AMI meters, deployment of SCADA systems across the grid, and...

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Here’s the deal with digital.

Here’s the deal with digital.

Leading companies across numerous industries are abuzz with going “digital.” At West Monroe, we believe going digital—or digitizing information so it can be transmitted, stored, and analyzed to gain new insights and efficiencies—is a key enabler and accelerator of an organization’s strategy. But what does a utility have to gain from this digital revolution?…

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Three Common Errors in Predictive Analytics and How to Solve Them

Three Common Errors in Predictive Analytics and How to Solve Them

Using statistical and predictive techniques on datasets can generate key insights that businesses may otherwise never realize. The power of such techniques has been a feature of modern analytics that many large companies have been investing in. Still, with all of this energy, talent, and capital flowing into predictive analytics, there have been some growing pains associated with it.…

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222 W. Adams
Chicago, IL 60606
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