Brewster Knowlton podcast

Guest Podcast from Best Innovation Group: Becoming Data-Driven

I had the great pleasure of having a podcast discussion with John Best of the Best Innovation Group through the BigCast podcast. During this conversation we cover a few major topics: The six characteristics of a data-driven organization. Using data warehouses to improve the question-and-answer process while analyzing data. Why data warehouses can sometimes be […]

data analytics for credit unions and banks

5 Reasons to Invest in Data Analytics in 2017

2016 was a great year for analytics throughout many industries. The financial industry seemed to especially embrace analytics and take the necessary first steps towards becoming a more data-driven industry. Back in the beginning of 2016, I published an article titled “5 Reasons to Invest in Data and Analytics in 2016”. Most (if not all) […]

Second Stage of Analytics Maturity: Localized Analytics

In my last post, I talked about some of the defining traits of an organization at the lowest, first, stage of the “Analytics Maturity Curve”. The second stage of the “Analytics Maturity Curve” is what Tom Davenport refers to as the “Localized Analytics” stage. Common Traits of This Stage The “Localized Analytics” stage is a […]

analytics maturity

First Stage of Analytics Maturity: Analytically Impaired

Where does your organization lie on the analytics maturity curve? This question is functionally equivalent to: What is the state of data analytics at your organization? How do we compare to others in the areas of business intelligence, data, and analytics? With regards to analytics, what the heck are we doing right and wrong? If […]

anchor holding you back

A:360 Podcast #13 – Common Pushbacks for Analytics

Today’s A:360 discusses some of the common pushbacks that I often hear surrounding data, analytics, and becoming a data-driven organization. In this podcast, I’ll dispell some of these common pushbacks and explain how you can overcome these misconceptions and challenges. Watch and Listen Click to Watch on YouTube. Listen to the Podcast Click to Listen […]

turning data into information

When Life Gives You Data, Make Information

For starters, yes the title is a terrible play on “when life gives you lemons, make lemonade”. Bad jokes aside, I hear too frequently how organizations need more and more data. I’m a data guy – I’m all about data. But there is a subtle difference between having more data and more information. Below is […]

bank and credit union innovation

Can Banks and Credit Unions Become Tech Companies?

I’ve thought more and more about this question in the past few months: can traditional financial institutions (retail banks and credit unions, specifically) become (or, at minimum, act like) technology companies? Critique to this article might very well be, “who cares whether traditional FIs can be classified as technology companies.” Admittedly, the debate is predicated […]

broadly distributed data and analytics

Centrally Driven, Broadly Distributed – Part 2

In our previous post, we introduced you to the data and analytics management methodology, “centrally driven, broadly distributed”. Having discussed the reasons why a “centrally driven” approach to data and analytics is optimal, this post will dive into the second half of the quote, “broadly distributed”. “Broadly Distributed” Analytics Takes Down Silos In many organizations […]

centrally driven

Centrally Driven, Broadly Distributed – Part 1

In Thomas Davenport’s “Competing on Analytics: The New Science of Winning”, one of the first chapters of the book defines the common attributes of analytically-driven organizations. Davenport discusses that one of the critical aspects to success in analytics revolves around taking an enterprise-level approach to managing data and analytics. He then quotes Harrah’s Entertainment’s management […]