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Teradata Analytics Strategy: Business-Outcome Led and Technology Enabled

Originally published March 1, 2018

Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, interviews Chris Twogood, senior vice president of marketing for Teradata. They discuss Teradataís recent announcements and The Sentient Enterprise.

I know Teradata is all about focusing on business outcomes. Could you tell us what announcements youíve made that align with this strategy?

Chris Twogood: If you look at Teradataís strategy, itís all about being business-outcome led and technology enabled. We really have announcements that align with both of them. On the business-outcome led area, we made three core announcements.

The first one is around our Customer Journey program. Our Customer Journey program announcement showed our leadership in two of the new Forrester Waves around the visioning and orchestration in analytics around customer journey. In that press release, we also announced some of the new features. We have our Marketing Command Center as part of our Customer Journey solution. We also talked about how we operationalize analytics. General Data Protection Regulation (GDPR) is really important today, especially in Europe so we have to be very sensitive to traceability, and ďtake me offĒ from those perspectives. That announcement is really great for customers that are looking to enhance their Customer Journey solutions.†

The second announcement was a really exciting one around our GE Aviationís Digital Solutions partnership. That partnership is all about leveraging the strengths of GE around fleet management, network management, engine management and predictive maintenance and Teradataís strengths around customer loyalty, finance, analytics, and business. Itís about bringing those strengths together in a cohesive solution by having Teradataís software and analytics as a foundation for GEís Predix IoT solution.

In addition, airlines are generating massive amounts of data, and they really need to have the technology behind it that drives performance, drives scalability and elasticity and can be deployed literally anywhere. Thatís one of the key reasons that we built out this strategic partnership.

The other announcement was around artificial intelligence (AI), which is hot in the marketplace, to solve core problems. Core problems would include risk mitigation and product innovation, and really being able to focus on areas like operational excellence in improving supply chains, making it a lot more efficient by leveraging core AI technologies.†

Weíre excited about those three announcements in the business-outcome led area.

GDPR is not just Europe. Itís any company thatís dealing with European citizens. Is that right?

Chris Twogood: Absolutely. In fact, Iím glad you said that because we have had a lot of activity with customers here in the states around GDPR. So while the legislation was generated in Europe, anybody that does business in Europe has to adhere to these regulations. That is the case for most of the customers we work with because companies now are global. So they need to take into account GDPR and how they manage their customer base.

Technology-enablement Ė thatís another key message. Can you talk about your announcements in that area?

Chris Twogood: Absolutely, itís all about helping customers drive business outcomes, but you enable that through technology. So from a technology perspective, we really made three key announcements.

The first one is around the Teradata Analytics Platform. This is all about moving Teradata from being a database to being an analytics platform. What an analytics platform really means, especially in this modern world, is that you need to have access to the best analytic engines that can match to your specific needs. You need to be able to have the preferred tools that analytic users want to interact with, and then you need to integrate different data types at scale. So our analytics platform is about integrating Teradata and Aster technology together. Itís about bringing together engines like Spark as well as TensorFlow for deep learning. Itís about integrating different tools like KNIME and Dataiku and Juniper for data science workbenches, but also about integrating all different kinds of data like JSON and Avro along with linked-value pairs into a single integrated environment. Users donít want to take data out Ė they want to be able to run it at scale within that specific environment.†

The second announcement is around the Teradata IntelliSphere Portfolio, and this is a great announcement. IntelliSphere provides all the critical functionality for an analytical ecosystem. It gives you all the software you need to do your ingestion, your management, your access and your deployment of a unified data architecture Ė all with one simple subscription-based license.

The last announcement was really a services announcement. What weíve seen is that most companies have a limited analytic capability. In fact, in a survey that we ran, 41 percent of the people surveyed said that they were at the basic level of analytic capability. So we announced the Agile Analytics Factory along with our Velocity services that help deliver a repeatable systematic as a service capability for customers to really drive a factory-type deployment around analytics.†

Weíre very excited about those three announcements that support technology enablement as a foundation for delivering business outcomes.†

You mentioned the Teradata Analytics Platform. Does the platform allow them to utilize the products they already have with the Teradata products?

Chris Twogood: Yes, thatís key. Letís say youíre a data scientist and you love to work with R. You can plug R through RStudio directly into the Teradata environment and run it. If you use Dataiku, itís part of your core foundation as a data science workbench, then you can plug it in. Itís all about being able to use preferred tools that users like to execute against. Some people love SQL, others like specific tools that match the way they want to work. Some people use KNIME as a workflow engine. So itís all about leveraging what you have and then plugging it into the Teradata Analytics Platform.

Does it matter if the data is in the cloud or on premises?

Chris Twogood: Thatís certainly the beauty of our Teradata Everywhere strategy Ė that you can deploy it anywhere. You can deploy it on a public cloud Ė Amazon or Azure. You can deploy it in a Teradata cloud. You can deploy it on Teradata hardware that is engineered specifically for analytic workloads, and you can deploy it on commodity hardware on premises and behind your firewall. So we offer the ultimate agility and flexibility across all those different dimensions.

Great! I know Oliver Ratzesberger just came out with a new book, The Sentient Enterprise. Could you give us a little background on how that fits with Terdataís strategy?

Chris Twogood: Absolutely. The Sentient Enterprise is really like a North Star Ė a foundation for a road map for data and analytics and what it should look like. In fact, the Sentient Enterprise is broken into five core elements and capabilities. Each of these capabilities is about people, process and technology. You also have to have the culture around this. The first stage is about an agile data platform. You need to be able to have agility. Itís all about centralizing data but decentralizing use cases. Itís all about moving away from waterfall to driving more agility.

Then you move into more of a behavioral data platform because you donít just want to do transactions. You want to understand behaviors. When you do this, itís at scale, and sometimes itís 100x more than what you did in an agile data platform.†

When data gets so large and so complex, you have to think about new ways to deal with things like metadata and understanding where data is. So that leads to the third stage, which is the collaborative ideation platform. This is really about crowd sourcing around analytics. Itís about LinkedIn for analytics and sharing different environments. For example, if I used data to solve a specific problem, Ron, it would be easy for you to say, ďOh, Chris thought this was good so Iím going to leverage it as part of my environment.Ē

Then the fourth stage is about being able to codify all of that information that you see people reusing into an application thatís easy to consume, easy to democratize throughout the organization.

The fifth stage is all about autonomous decision making Ė AI and machine learning. Right now, 90 percent of the time, people are dealing with data and theyíre only spending 10 percent of their time making decisions. This enables you to turn this on its head where theyíre literally thinking about decisions 90 percent of the time and letting a lot of the autonomous decision making do the work in the background. The book is a great book, and I encourage you to go buy it on Amazon. It gives you the steps for the next three to five years about how to think about your specific journey around The Sentient Enterprise.

Chris, thanks for sharing all these announcements, and it looks like the Sentient Enterprise is going to be driving a lot of companies going forward.

  • Ron PowellRon Powell
    Ron is an independent analyst, consultant and editorial expert with extensive knowledge and experience in business intelligence, big data, analytics and data warehousing. Currently president of Powell Interactive Media, which specializes in consulting and podcast services, he is also Executive Producer of The World Transformed Fast Forward series. In 2004, Ron founded the BeyeNETWORK, which was acquired by Tech Target in 2010.† Prior to the founding of the BeyeNETWORK, Ron was cofounder, publisher and editorial director of DM Review (now Information Management). He maintains an expert channel and blog on the BeyeNETWORK and may be contacted by email at†rpowell@powellinteractivemedia.com.

    More articles and Ron's blog can be found in his BeyeNETWORK expert channel.

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