Tag Archives: Analytics

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 »

4 Business Risks Preventing Big Data ROI

December 23, 2016

Evaluating risk vs. return of a big data initiative can be tricky, especially because the open source market is so active and fluid. Financial risk aside, business risk actually plays the bigger spoiler in properly estimating future cash flows and profitability of a big data project. Accounting for risks such as competition, emerging technologies, rising… Read More »

Look, Mom! No Hands! Volvo Cars Gives Being In The Driver’s Seat A Whole New Meaning

December 22, 2016

You’ve heard of the Internet of Things? The topic is hard to avoid considering it’s in most blogs and business articles when they discuss data. The Internet of Things (IoT) comprises billions of sensors around the world generating data in volumes unheard of until now. But, it is just hype?  Or does it really mean… Read More »

Leveraging Our Past to Enable Your Future

September 12, 2016

By Rob Armstrong – As the saying goes; the more things change, the more they stay the same. Those of us fortunate enough to be in the data and analytic field over the past few decades certainly know that is true. While there has been a large change in the data types, data volume and… Read More »

Borderless Analytics Use Cases – Cloud Data Labs, Cloud Bursting, Cloud Disaster Recovery

September 12, 2016

By Rob Armstrong In my last blog, I looked at how the experience of Teradata integrating data and analytics across the enterprise has evolved from the Centralized Data Warehouse to the world of Borderless Analytics. In this blog I wanted to delve a bit deeper into a few of the borderless analytics use cases that… Read More »

The Future of Health and Human Services data modeling (Part 1)

August 19, 2016

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 »

The Joy of Data Viz: The Data You Weren’t Looking For

December 8, 2015

“A good sketch is better than a long speech” – Napoléon Bonaparte I recently came across this quote on the opening page of Phil Simons’ book,  “The Visual Organization, Data Visualization, Big Data, and the Quest for Better Decisions.” It is available online. Data visualization, or Data Viz as it is often referred to, is… Read More »

The Revenge of the Schema: Why Structure Is Crucial to Success with Big Data

November 16, 2015

One way to look at progress in technology is to recognize that each new generation provides a better version of what we’ve always wanted. If you look back at the claims for Hollerith punch card-based computing or the first generation of IBM mainframes, you find that the language is recognizable and can be found in… Read More »

How Analytics Turns IoT Data into Dollars

October 19, 2015

The buzz around the term “Internet of Things” (IoT) amplifies with each passing day. It’s taking some time, however, for everyone to fully comprehend just how valuable this phenomenon has become for our world and our economy. Part of this has to do with the learning curve in understanding the sophisticated technologies and analytics involved.… Read More »

Simplifying SAP R/3 is irrelevant for users

October 14, 2015

Part two of a series about an old ‘SAP’ dog who learns a new trick Today more than ever, SAP is more focused on technology (HANA) than data. When they do focus on data, they talk about simplifying it because simplification is necessary to make said technology work better. In SAP terms, simplification means fewer… Read More »