How Can You Supplement Your Data Strategy?

April 28, 2016

When it comes to implementing business solutions in the cloud, most companies seem to have an “either-or” policy: they seem to think it either makes sense for them or not. But one thing many IT decision-makers tend to overlook is that cloud capabilities are not actually “all-in” or “nothing at all”. Increasingly, cloud and cloud-like… Read More »

Why CFOs Are Thinking Cloud

March 4, 2016

Finance is one of the last major business functions to get serious about adopting cloud technology. Despite the potential cost efficiencies, the risk-averse nature of many finance organizations puts CFOs at risk of being late to the cloud party. This is changing. Cloud technology today is mature enough –and secure enough – to merit CFOs’… Read More »

Let’s Be Clear: DevOps and the Agile Approach

March 2, 2016

If you are a curious individual then, like me, when you hear a new buzzword of occupational interest, you Google it and try to understand what it really means and how it fits into what you do. Right? More important, you want to know how you can apply this to your everyday work life to… 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 »

A One Day Accounting Close? Utopia via People, Process, & Technology

November 30, 2015

The pressure for an accelerated accounting close can be relentless, as evidenced by the $1.3 billion Toshiba accounting scandal this spring. The electronic manufacturing giant admitted it had overstated profits by $1.3 billion going back to fiscal 2008/2009. An accounting probe in July led to the CEO and several board members resigning and a 30… Read More »

Data Modeling Requires Detailed Mapping — Learn Why

November 30, 2015

Mapping is an important step to understanding your data and where the data resides in your ecosystem. Mapping takes us from the known to the unknown and is effectively accomplished by using mapping tools, adopting best practices, and having a common understanding of how the mappings will be used. But mapping does take a considerable amount… 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 »

Investing in New Technology? Don’t Forget These 5 Value-Adding Steps

November 12, 2015

By Data and Analytics Staff IT departments are always on the lookout for the latest and greatest technological advance that will change the way their company works. But striking a balance between IT’s desire to implement a new technology, and the impact of said technology on the company’s bottom line, often can be tricky. For… Read More »

The Data Management Imperative: Business Initiative Alignment

October 20, 2015

Bring your data management program out of the IT back office and into the enterprise spotlight   By Anita Filippi The job of a data management professional is a tough one. How do you get ahead of the curve to build out the foundational components of an analytic ecosystem and still serve the immediate, and… Read More »

Aster on Hadoop is Hadoop for Everyone!

October 19, 2015

One of the biggest announcements at Teradata Partners 2015 is that Aster will run on Hadoop. Many of our customers have already invested in a Hadoop data lake and want to do more than just store data. Storing data is helpful but not all that interesting. What if you could easily do advanced analytics without… Read More »