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How to Analyze Data at Speed and Scale Using Pervasive Data Intelligence

Chris Twogood explains while large companies who utilize data need Pervasive Data Intelligence in order to leverage all of their data, all of the time.

Chris Twogood
Chris Twogood
2019年4月9日 2 分で読める
Pervasive Data Intelligence | How to analyze data at speed and scale

meg·a
/ˈmeɡə/
adjective

  1. very large; huge.

Customer feedback put us on the path to Pervasive Data Intelligence, the ability to leverage 100% of the data to uncover real-time intelligence at scale, and those customers are what we call megadata companies.

Megadata companies are the world’s most demanding large-scale users of data, leveraging data as a secret weapon for their business. Unfortunately, the solutions in place are ineffective and create complexity, plus they’re expensive to maintain and manage. As the pressure for results intensifies, complex deployments become a roadblock for any organization working to be operationally driven by analytics.

These companies demand tightly integrated solutions that can accommodate massive scale and speed; solutions that can be deployed across secure, hybrid-cloud architecture.

These companies demand Teradata Vantage, the platform for Pervasive Data Intelligence.

In the pre-Vantage era an ecosystem gave users access to the tools they needed and wanted, but the analytics solutions in place were neither simple nor integrated. They involved significant data movement and were seldom enterprise-ready because the solutions were often run by shadow IT and lacked formal support.

And scalability? Nonexistent.

Now, in the new world of data and new era of Pervasive Data Intelligence, Teradata Vantage is the only hybrid cloud software of its kind, providing powerful access to leverage all of the data, all of the time, helping solve complexity and digitization problems. Vantage reliably delivers the answers businesses need most by combining three critical elements: integrated datasets, functions and engines, and tools and languages.
 

Vantage brings these processes and tools together into a unified analytics workflow.

Why do we focus integrated datasets, functions and engines, and tools and languages? Because:

  1. By integrating data, all of it, from across the entire organization, you get a unified, integrated environment that delivers the best analytic functions and engines at scale.
  2. The analytic functions and engines required to analyze that data ensure you can see what other systems can’t.
  3. Tools and languages enable the building, testing, and deployment of answer-delivering analytics.

Vantage brings these processes and tools together into a unified analytics workflow. It starts with loading, exploring, and preparing data, passes through the model experimentation and development process, then deploy operation models for the benefit of the entire organization.

The Vantage analytics workflow lets enterprises tease out actionable answers to the toughest business questions by tightly integrating the best analytic functions and engines into a scalable, agile platform. Plus, it provides access to numerous descriptive, predictive and prescriptive analytics; autonomous decision making; machine learning functions; and visualization tools deployed across public clouds, on-premises, on optimized or commodity infrastructure, or as-a-service.

So, is Teradata Vantage solving the problems facing the world’s megadata companies? Absolutely. And at the same time, Vantage is resetting the bar for the entire data analytics industry, rising above the complexity, cost, and inadequacy of today’s analytics landscape.

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会社情報 Chris Twogood

Chris Twogood is Senior Vice President Global Marketing for Teradata Corporation. He is responsible for the Teradata brand, influencer relations, content marketing, corporate communications, global events, demand generation, account based marketing and digital for Teradata including web and social. Chris has thirty years of experience. Chris has extensive experience in the computer industry specializing in data warehousing, decision support, customer management and analytics.

すべての投稿の表示 Chris Twogood

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