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Teradata's Big Data Play Changes the Game #TDUniv

2014-07-April-Prague

Everything Teradata does centers around one thing — helping its customers get knowledge and value out of their data. It’s been that way since 1979 and it’s not likely change, even as the kinds of data and the ways of wrangling it do.

“Everyone wants to outsmart the competition,” said Imad Birouty, program marketing manager at Teradata.  That’s why Teradata boasts that it continuously innovates to empower its customers with the technology, analytics and tools they need to make that happen.

Big or fast, structured, unstructured or semi-structured, whether it comes from the Internet of Things (IoT) or an enterprise resource planning system, Teradata gets data and it's got you covered. The company brings logic and order to data, no matter how great its volume, velocity or variability or where it lives, in Hadoop or a data warehouse. Not only that, but flexibility is built into Teradata technologies to accommodate users with varying skill sets and developers with their choices of languages and tools.

This morning at Teradata Universe in Prague, Teradata announces three game-changing innovations that deliver unprecedented analytic power, breakthrough speed for analytics, and cross the big data chasm.

Teradata’s QueryGrid Breaks the Rules

Having big data and a wide range of powerful tools may be cool, but leveraging them can be complicated, slow and complex. By the time business users get brilliant answers to their questions, the pivotal decision-making opportunities have too often passed.

Needless to say that’s a problem, but it’s one that Teradata solves with Teradata QueryGrid, Teradata Database 15 and Teradata Teradata Active Enterprise Data Warehouse 6750 platform, all of which will be unveiled later today. They powerfully and seamlessly seamlessly orchestrate analytic processing across systems with a single Query and without moving data.

Say what? You might be thinking. Here’s one case in point.

Suppose you’re an investment bank that wants to bring in more high rollers as customers. One great way of doing this is via a “people like you” strategy. In other words, if customer x likes doing business with you, then so will his or her friends (so let’s figure out who those friends are and market to them).

Now while giving away baseball caps or even tickets to Lakers games in exchange for friend referrals might be one way of getting people cough up the names of people they know, chances of getting much action from rich guys like Oracle CEO Larry Ellison, EMC’s Joe Tucci and Salesforce’s Marc Benioff probably aren’t that good.

Besides, who even knows if these guys are actually happy with your high-roller services anyway?

Another Option

In the information age we have data to help us glean insights, so here’s what can be done instead.

The first step is identifying the wealthiest 100 customers. That’s easy enough: You can ask your business analyst to query your Teradata (or some other) data warehouse. Next you need to know if those wealthy 100 are happy doing business with you. This is a case for sentiment analysis via Hadoop (Teradata uses Hortonworks’ flavor) — which can grab data from your activity on social networks and so on … You’ll likely need a data analyst for this.

Once the bank finds the happy high-rollers (let’s cross Ellison off the list, we’ll pretend he’s always having Mark Hurd write nasty comments on Yelp in his behalf), it’s time for graph analysis via Teradata Aster. Here MapReduce can be used to look at each wealthy investor’s sphere of influence. Who wants to be like or tends to make the same kinds of decisions as Benioff and Tucci? You can take that answer back to the data warehouse and your campaign.

2014-07-April-Teradata-image

Does it seem like a lot of hurdles to jump over or a big headache? Not when you can get your answer without doing much more than asking the question.

Game Changing Self-Service Analytics

Teradata QueryGrid changes the rules of the game by giving users seamless, self-service access to data and analytic processing across different systems (non-Teradata technologies included) from within a single Teradata Database or Aster Database query, no special tools or IT intervention required. It also minimizes data movement and duplication by processing data where it resides.

In other words, you tell Teradata what you want, and it does everything for you, from behind the scenes.

 

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