Trace Problems to Their Sources

Posted on: April 27th, 2015 by Brett Martin No Comments

 

As an editor, I’m intrigued with words—their meanings, origins and evolutions. It’s an interest I share with Teradata 14 Certified Master Carrie Ballinger, who pointed out in a recent Teradata Magazine article that the Greek words “tekhne,” meaning a craft, and “logia,” meaning systematic treatment, are the basis for the word “technology.” Like with tracing         Read More…

Create Value-Added Subscriber Services

Posted on: April 22nd, 2015 by Guest Author No Comments

 

by Ken Mark Few industries have seen greater disruption in recent years than communications. For decades, these companies enjoyed predictable revenues and reliable profits from landline telephones. Those times are gone. Consumers now continually and deliberately jump to and from different networks, channels, devices and telecom companies. This churn and lack of loyalty puts a         Read More…

 

In order to gain more business value, Nordea knew it needed to become “one global company” with a consolidated understanding of its data. To achieve that goal, the leading financial services provider in Northern Europe, which serves more than 11 million customers throughout eight countries, integrated vast amounts of financial data from multiple bank entities         Read More…

2-Step Solution for a Solid Data Ecosystem

Posted on: April 15th, 2015 by Guest Author No Comments

 

by Brian Richards and David R. Schiller, CCP From the outside looking in, data integration (DI) seems easy, right? You just combine data residing in different systems to provide users with a unified view of the individual data elements in a timely manner. All you need is a database, a few SQL statements, some scripts         Read More…

What Are Your Customers Really Thinking?

Posted on: April 13th, 2015 by Brett Martin No Comments

 

Have you been trying to figure out what customers truly think about your products and services only to find yourself challenged to take advantage of social feedback? Now, it’s possible to perform analytics on text data to gain insights into consumer priorities and determine what words are commonly associated with positive and negative reviews. By fully integrating text analytical         Read More…

Evolve Into a Sentient Enterprise

Posted on: April 6th, 2015 by Brett Martin No Comments

 

Every organization strives to conduct business faster. The problem for many, however, is that they lack the real-time and self-service capabilities needed to make the aspiration of speed a reality. The solution is to work toward being a sentient enterprise—an organization that removes the traditional barriers caused by information silos and leverages progressively sophisticated emergent         Read More…

5 Essentials for Winning With Big Data

Posted on: April 1st, 2015 by Guest Author No Comments

 

by Matt Ariker and Jesko Perrey Chief marketing officers (CMOs) and chief information officers (CIOs) share a similar challenge—how to turn big data into big profits. CMOs, tasked with driving growth, are demanding that the plethora of customer data their companies accumulate be turned into increased revenue. CIOs, charged with using technology to boost revenue,         Read More…

How Two Big Data Architectures Differ

Posted on: March 30th, 2015 by Brett Martin No Comments

 

Although two popular big data architectures have similarities, such as using various language constructs for different data structures, they take very different approaches to solving business problems. For example, when the architectures tackled the challenge of improving customer satisfaction and increasing profits, Apache™ Hadoop® YARN needed 10 steps to solve the problem, while the Teradata®         Read More…

Best Practices for Big Data Strategy Execution

Posted on: March 25th, 2015 by Guest Author No Comments

 

by David A. Kelly To identify the essential components for any big data strategy, Teradata Magazine spoke with three noted experts who have conducted substantial research and handled the physical implementations of big data initiatives. Each one addresses a best practice you can adopt to develop your successful strategy: > View Big Data as a Valued Corporate         Read More…