Teradata’s 3rd Party Influencer Meeting took place on July 21st and 22nd in San Diego. The two-day conference, geared towards industry consultants, system integrators and analysts, included sessions about Teradata’s roadmap, current product offerings, future releases, and general positioning.
With increased competition within data warehousing due to newer entrants to the market and more focus on appliance vendors, Teradata reiterated its stance on data warehousing and the importance of deploying an enterprise data warehouse (EDW) to maintain a single version of data. Teradata also maintains that this view enables organizations to achieve operational intelligence by giving information access to line of business (LOB) managers and line workers based on events, intra-daily updates, etc.
Although committed to the concept of enterprise wide data warehousing, Teradata still realizes that an EDW isn’t realistic for all organizations. Their product family suite enables organizations to implement data warehouses or data marts based on departmental or business unit requirements as well. The diagram below provides an overview of how their products fit within their overall structure.
The Teradata Family
Although previously released, here is a breakdown of Teradata’s product family:
- 550 Data Mart Appliance for departmental data marts
- 2500 Data Warehouse Appliance for entry-level data warehousing and special purpose applications
- 5550 Active Data Warehouse delivering both strategic and operational intelligence to drive competitive advantage
Furthermore, the diagram below highlights the various levels of analytics related to the types of data warehouse deployments within the organization.
Level of Analytics and Type of Data Warehouse Deployments
Aside from product positioning and an overview of offerings available, Teradata also provided updates to their CRM and MDM offerings. Through operational intelligence, Teradata leverages its EDW to help organizations make smarter decisions. For instance, within CRM, the goal becomes targeting customers based on their specific profile automatically, without additional intervention from humans. This means using the information that is collected about customers in a smarter fashion to create targeted marketing campaigns, etc.
Within Master Data Management, the goal is to improve data quality and data integration while enforcing data governance initiatives. Teradata’s offerings include customer and product areas specifically, with their overall goal being to give customers an accurate view of their customers, products, channels, and suppliers. The diagram below shows an overview of how Teradata MDM fits together.
How Teradata MDM Fits Together
About the Author
Lyndsay Wise is an industry analyst for business intelligence. For over seven years, she has assisted clients in business systems analysis, software selection and implementation of enterprise applications. Lyndsay is a monthly columnist for DMReview and conducts research of leading technologies, products and vendors in business intelligence, marketing performance management, master data management, and unstructured data. She can be reached at firstname.lastname@example.org. And please visit Lyndsay's blog at myblog.wiseanalytics.com.
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