ThoughtFocus Solutions has extensive experience helping customers plan large-scale data-centric implementations that support critical information management needs. We help companies develop strategies for collecting, organizing and distributing internal and external data, to achieve specific business objectives. This includes assessing current strategies, tools and platforms and developing new ones. These measures enable financial savings, improved quality and accuracy of data as well as lower cost of ownership over the life of the systems.
A successful information management strategy is one that enables greater insight into business activity by integrating not only data but also applications, across the enterprise.
ThoughtFocus solutions provide a framework for integrating data from a variety of channels, including legacy applications, operational systems, data warehouses or data marts, external sources, web applications and web clickstream. Structures, processes and tools are identified to enable separate application systems to work together and deliver accurate, consistent data for timely decision-making.
ThoughtFocus has extensive expertise in these areas:
Extract, Transform, and Load (ETL).Enterprise Application Integration (EAI).
Enterprise Information Integration (EII).
Web Services.
Database Management.
Meta Data Management.
Business Rules Engines.
Data Quality.
ThoughtFocus’s data integration architectures are designed to last and are highly:
Scalable.
Reliable.
Operable.
Flexible.
Extensible.
Affordable.
Today, competitive advantage depends on managing the staggering volumes and complexity of data efficiently and cost-effectively. ThoughtFocus boasts of extensive experience in developing high-performance, low cost data warehouse solutions for some of the world's largest organizations. These sophisticated, low-latency solutions transmit highly complex and voluminous data to large audiences of end-users.
ThoughtFocus’s approach spans the data warehousing lifecycle, which includes:
Data Acquisition Processes - Extract, Transform, Load (ETL).
Data Repositories.
Information Delivery Applications.
Data Warehouse Administration.
Extensible.
Affordable.
