Category Archives: Topics

Defining a Successful AI Strategy for 2018: Key Thoughts from a Data Scientist

February 21, 2018

As the hype around AI continues, building and executing on an AI strategy that supports market competitiveness will be top of mind for executives. The AI pilots are complete, yet executives are still grappling with what AI means for their organisations. As the use cases develop and capabilities emerge, businesses will look to defining an… Read More »

Analytics: A Powerful Force for Societal Good

December 5, 2017

I was fortunate enough to have recently presented at the Data on Purpose conference at Stanford University, where some of the best minds discussed the virtues of using data to further the causes of corporate social responsibility, targeted allocation of resources for the common good, alleviating poverty and more. It got me thinking how data… Read More »

The Future of Health and Human Services Data Modeling (Part 1)

May 15, 2017

The question was put to me “When will the IT industry provide reusable clinical and administrative data warehouses for the Medicaid enterprise?” It was a thought-provoking question that was well worth considering. Currently the healthcare insurance and provider industries are guided to target reporting that is defined by government regulation and motivated by financial incentives.… Read More »

5 Big Benefits of Data and Analytics for Positive Business Outcomes

March 7, 2017

Today, businesses can collect data along every point of the customer journey. This information might include mobile app usage, digital clicks, interactions on social media and more, all contributing to a data fingerprint that is completely unique to its owner. However, at some point not too long ago, the thought of customers sharing information such… Read More »

Business Reasons for Analytics

February 15, 2017

It’s not what you know. It’s what you do with what you know. This is something organisations worldwide are increasingly learning when it comes to how they are approaching and working with data and analytics today. Customer’s expectations have changed. Providing a good product is simply not enough for today’s businesses. The majority demand a… Read More »

Ditch the Old Ways of Product Management. Say Hello to Product Innovation.

January 9, 2017

As the number of data points in the world continues to grow, so do the ways that businesses can stay informed and effectively manage their products. In the past, for example, companies relied on product data in batch form or used recommended guidelines to manage their supply chain. Stores reviewed inventory data, orders were fulfilled… Read More »

Too Much Data, Too Little Results? How to Accelerate Your Company’s Big Data ROI

December 22, 2016

While 75 percent of companies from all sectors and sizes feel they are making the most of their data, in actuality 43 percent “obtain little tangible benefit from their information” and 23 percent “derive no benefit whatsoever.” Why the big disconnect? Many companies make an initial investment in data analytics, but then struggle, waiting months… Read More »

Confessions of a Webaholic

December 16, 2016

by Peter Becker – Analyst for Corporate Web Strategy, Teradata Hi. My name is Peter. And I am a webaholic. Wow, it’s good to get that off my chest. Once web analytics gets a-hold of you… Of course, we analysts wear many hats. We’re flexible; adaptable. And that’s a good thing, especially now that Internet of… Read More »

If Data is a Product, Roll it Out

December 12, 2016

How we monetize data, turning it into products, separates the organizations that are wildly successful from those that are mildly successful. Innovation with data requires thinking of data as a product, and this inevitably requires paradigm shifts in your thinking. If data is a product, who can consume that product? Most organizations think of data… Read More »