The Best Data Processes

Critical to the success of any organization’s foray into business knowledge are the processes that are established to support the use and operations of a business' data requirements. Thoughtcorp provides clients with the knowledge and approach to allow organization to thrive in their data rich environments; we help bring order to chaos. The goal is to simplify all processes surrounding the data repositories to optimize data use. Based on our approach and methodology, we look at the big picture and build a solution based upon needs and requirements. This enables an agile development and integration process that allows immediate returns on investment.

The Thoughtcorp Needs-Based Development approach provides clients with quick wins while embracing an Enterprise-based approach to the overall solution. This approach allows organizations to prioritize solution design and wade through the data to focus on tangible information.

The success of all data projects is based on the quality of the result. Thoughtcorp is experienced in dealing with data and we approach Data Quality as a critical success factor for all projects. Our methodology to data quality utilizes tools and processes that support data quality initiatives undertaken by an organization. Data quality is one of the key issues in today’s data warehouses and data marts and is often the cause of most data complaints. By proactively identifying data quality issues and resolving these issues, many downstream data issues can be eliminated. The value gained by data quality initiatives aided by Thoughtcorp data experts can provide organizations with accurate and available data.

Data integration strategies that follow traditional ETL (Extract, Transform and Load) approaches can be an incomplete solution. By nature, a data integration-ETL solution has a high reliance on the consistency of source data. This means that as source operational systems evolve or get replaced, there is a direct impact to a decision-support environment, because the data becomes dated. In a worst-case scenario, this can render data non-operational. While tools such as Informatica's PowerCenter and Metadata Manager can pre-determine such an impact, the optimal solution is in "moving the right data at the right time". This invariably gives rise to a Data-hub solution which begins to act as an integration broker across many data sources and associated applications. The data integration solution can be augmented into a process integration solution, achievable when there is explicit messaging between applications.

Messaging between applications is actually metadata, meaning that consistent and well understood information is required for success. Products like Informatica's Metadata Manager, which adopts Open Management Group Common Warehouse Model (OMG CWM) standards, present opportunities to function as a foundational component of the overall solution.

Ultimately the processes that are created to support your data needs are as important as the data itself and in Thoughtcorp’s approach - process is a critical component of data success. Click here to request more information.
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