Business-Focused Approach to Analytics
The best decisions are founded on an integrated data environment.
A retail manager is asked to determine which product line should continue: A or B. Using sales data, the manager chooses product A, since it has a higher gross margin per unit. However, product B’s vendor provides extra marketing incentives that actually make that one more profitable—a fact evident only when vendor, marketing and sales data are all integrated.
Integrated for Business Value
The best decisions are driven by both business requirements and the right scope of data to integrate. This means that to gain maximum insight and efficiency, the data identified for analytics must be collected on a single system and logically integrated into one data model that follows company-wide agreed-upon definitions of data elements.
This methodology helps ensure that any application using those elements will get a consistent view of what they represent, giving business the highest value with cross-functional analysis and the ability to model a company’s behavior. In addition, costs are lower because data is stored once, and the work associated with acquiring, cleansing and storing the data also happens only once.
Organizations find that as they add and integrate information into their data warehouse, the value becomes incrementally larger—like compounding interest on a savings account—while enabling more business insight and capabilities. That’s because the organizations are truly leveraging the data already in the warehouse. New capabilities are enabled faster and more business value is achieved with the ability to ask increasingly sophisticated questions across more integrated data. And all of this happens while the total cost of ownership decreases.
Designing a proper architecture is crucial to realizing an integrated analytical environment. This is why Teradata offers an integrated architecture framework. Known as the “Architecture Cube,” this framework provides a holistic structure to build customized solutions for business intelligence (BI) and data management.
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Data needs to be assembled in a manner that helps business users identify opportunities, investigate issues and provide a true and complete picture in order to make effective decisions. Using the Cube as a foundation enables Teradata consultants and clients to discuss requirements using a standard, comprehensive structure, and to produce designs suited to solve business problems.
The Teradata architectural approach to designing and delivering analytic solutions offers myriad business benefits. Users can:
- Drive long-term business by delivering integrated data solutions with a quick return on investment
- Provide structure in addressing business requirements and delivering each project
- Grow business through the use of proper architectural thinking
- Protect investment with a lifetime information intelligence roadmap founded on data reuse
- Improve time to value and integrated information availability
- Lower implementation costs for proven business solutions
Several architectural structures can create an integrated analytic environment, but Teradata’s Cube framework is unique:
- Business is the first point for any problem and the basis for all system development effort.
- The information area defines the data that directly supports the business architecture. This includes data that is electronic and non-electronic, structured and unstructured, and official and personally managed.
- Application represents how the business physically operates, based on the logical data model and business rules.
- System architecture is the execution environment of the applications.
Teradata’s framework gathers business input, success criteria, time-scale requirements and future business goals. This method is grounded in core beliefs and strongly held views based on architecture principles and advocated positions. These, in turn, help shape reusable solutions for recurring challenges via design patterns and implementation alternatives. These pieces, along with supporting frameworks and Teradata’s solutions methodology, enable the production of a design that’s suited to meet today’s business requirements while laying a reusable foundation for the future.
Additionally, Teradata has taken the best delivery practices and lessons learned from around the world and unified them into a consistent framework for building thoughtful, expandable and doable data architectures—with business requirements as the driver. The resulting systems will then support the business with the flexibility to adapt quickly to changing needs and priorities.
Let Business Lead
It is imperative to start any analytic approach with business leading the way. Through techniques and tools such as the Architecture Cube, advocated positions, architectural principles, and design patterns and frameworks, Teradata has a systematic method for interpreting an organization’s business requirements. Those requirements are translated into appropriate solutions to meet business goals and deliver true business value.