Oct. 22, 2012
(NYSE: TDC), the leading analytic data solutions company, today announced new
Analytic Architecture Services
to accelerate deployment of the Teradata
Unified Data Architecture™ that captures and analyzes both structured and multi-structured data.
The Analytic Architecture Services are based on Teradata's global best practices and built upon Teradata's deep expertise, skill, industry knowledge and leading industry assets such as
Teradata Logical Data Models
Data Integration Roadmap
These new services, available globally, begin by unifying a customer's view of its business, information, applications, and systems. Teradata's best practices look at each of these four major components to ensure success:
- Business architecture – a company's priorities and approved projects.
- Information architecture – the data management needs and requirements such as master data management and data quality, security and privacy.
- Application architecture – the applications business users consider core to the integrated data environment.
- Systems architecture – physical system components of the integrated data environment.
By bringing together these different viewpoints of an organization's operations, Teradata's data warehouse experts can design the right data warehouse architecture to meet an organization's current needs while providing the flexibility to meet future needs.
"When business analytics and business priorities are aligned, organizations can make decisions based on a clear view of all their information. When they are not, organizations inevitably make decisions based on incomplete and potentially incorrect understandings of what is happening and why," said
, vice president, Teradata Consulting. "The Analytic Architecture Services also bring together the complementary value of Teradata,
and Hadoop in the Teradata® Unified Data Environment™. Only by integrating and analyzing all data types can a company gain a true picture of its current state and competitive opportunities."
The Analytic Architecture Services provide a new set of industry-specific Solution Model Building Blocks to accelerate the development of the data warehouse. This collection of assets includes templates, data models, pre-defined mappings, and semantic layers. Solution Model Building Blocks are built around popular business opportunities such as multi-channel attribution in retail banking, mobile revenue analytics in telecommunication, quality of care in healthcare, and claim analytics in insurance.