Agile, Collaborative Analytic Development that Drives Ideas and Insights
Companies everywhere today need agility to quickly test theories and new ideas to drive innovation, exploit market opportunities, and react to competitive pressures. They need the ability to extend their analytic practice, so they can get the right analytics to the right people at the right time. That means adding vital flexibility for exploring new, unrefined data and experimenting on emerging theories without long planning periods.
But all too often, business analysts don’t have access to their own data warehouse because of the governance and safeguards built into the data warehousing process. Those obstacles make it virtually impossible for them to work with untested data or to submit queries that may impact other data warehouse users. As a result, data marts proliferate throughout the enterprise, producing inconsistent analytic results and driving up IT cost with inefficient processes and redundant systems.
What’s needed is a solution that enables businesses to explore and examine new ideas and data, delivers immediate access to their data, and that makes it easy to identify new trends and insight or react to immediate business issues. A Teradata® Data Lab delivers that solution.
Agile Analytics Drives Performance
A Teradata Data Lab enables agile analytics by simplifying the provisioning and management of analytic workspace within the production data warehouse. By allocating that space, it provides your lab users easy access to critical production information without moving or replicating data. And it provides your entire business with flexibility to self-provision space and experiment with new data and theories without compromising data quality or performance of the production data warehouse.
The result is an environment that allows your business to maximize hardware, software, and human resources; streamline your processes; and deliver fast and accurate answers while controlling the cost and other issues stemming from data mart proliferation.
Built-in Business and IT Benefits
An agile analytics data warehouse with an integrated data lab provides both the IT technician and business analyst an array of advantages.
For your organization’s IT operations, the data lab safeguards and controls production data to ensure predictable workload performance and maintain data quality within the data warehouse. It also provides IT with an interface to easily establish guidelines and rules for the work area by controlling size, expiration dates, and user access. Teradata Data Lab implements these guidelines allowing business analysts to manage the individual work areas.
For business users, a Teradata Data Lab provides an interface that allows them to easily provision space within their production data warehouse for exploration and experimentation. This interface allows business users to manage the area allocated to them so they can load and analyze data using their favorite tools or share their analysis and data with others. Teradata Data Lab simplifies collaboration, self service, and data access without unnecessary data movement and replication.
Among the specific benefits Teradata Data Lab delivers are:
For business users:
- Rapid exploration and development environment with self-service analytics, provisioning, and management.
- Quick time to value by accelerating and simplifying the process for business users. Users can load and join new data with production data, eliminating data movement.
- Access to new data sources without waiting for full data warehouse integration project.
- Simplifies collaboration where data lab users can easily invite others to share their analytic data and results.
- IT can control the environment with data lab hierarchy and workload management to ensure production users are not impacted by the exploratory nature of analytic development.
- Governance is provided by enforcing expiration dates to data labs, preventing unintentional growth of data labs.
- Eliminate shadow IT and personal external data marts to help control costs.
- Optimize data integration by identifying and integrating only the data thatprovide high proven business value.
Time-tested Support and Service
Teradata Corporation also provides you with proven methodology and services along with tools to enable agile development within your Teradata data warehouse. And Teradata Data Lab provides built-in governance and tools to help DBAs manage the entire data lab environment with minimal effort. Our Data Lab consulting services will help you establish internal work areas so users can handle ad-hoc, experimental analysis in a safe, private copy of the data. This avoids skunk works data marts and costly procurement cycles. In addition, our workload management capabilities enable IT to control priority and workload processing while protecting the production applications and users’ SLA. These features combined with the Teradata Integrated Data Warehouse provide on-demand, self-service capacity, upward scalability, complete control of service levels, and parallel performance on a single platform. Just as important, a Teradata Data Lab helps your business meet a wide range of day-to-day business challenges, including:
Costs – The thousands of small non-mission-critical applications running on separate servers and storage systems all carry a minimum cost of hardware, licenses, and labor. A data lab lets you minimize these costs by leveraging the extra cycles in a production data warehouse.
System Utilization – Many data warehouses and data marts are not fully utilized, but they still consume electricity, cooling, labor, and floor space 24 hours per day.
Time to Market – Innovation is stifled due to the time delays waiting for IT support and cost of procuring servers, networks, and storage to test new ideas and theories.
Flexibility – Business analysts need an environment where they can quickly integrate and derive new data or analytic models for application prototypes. While there’s a lot of integrated and reusable data in the production data warehouse, data are also stored in silos (logical data marts) with limited integration and reuse. Or data may be stored externally in an Excel file or data mart.
Analytic Deployment – Often analytics are built by one team on a single development system, and then ported by a different team into the production system with different data models, quality, and definition. This leads to delays in deployment and impacts the quality of the analytics.
A Cost-effective, Collaborative Environment
A Teradata data warehouse has always enabled business agility by allowing users to ask any question on any data, at any time. What’s different today is the need to apply the same business agility on new, untested, uncleansed data that have not yet met the criteria to reside inside the data warehouse. A Teradata Data Lab meets that demand by providing you with a collaborative self-service environment that allows analysts to accelerate time to value, reduce costs with shared resources and data, and promote structured corporate analytics by controlling data mart proliferation.
It actually provides the foundation for self-service BI by providing an interface to automate much of the provisioning and management of analytic workspace. And it offers a solution for the on-demand capacity you need for short-term projects such as ad-hoc analysis, data mining, proof of concept testing, and quality assurance testing.
Teradata Corporation is the world’s leading analytic data solutions company focused on integrated data warehousing, big data analytics, and business applications. Teradata’s innovative products and services deliver integration and insight to empower organizations to achieve competitive advantage.
For More Information
To find out how a Teradata Data Lab can provide agility to explore new data and test theories so you can improve your decision-making capabilities and grow a stronger, more productive business, contact your local Teradata representative.