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Data Integration

datamart-design-developement

You need a solid, trusted data foundation upon which to build reporting, analytics and planning solutions. Gone are the days of building an enterprise data warehouse just because everyone’s doing it. Today we focus on high impact, business centered marts and warehouses. These are purpose-built with resolving specific business challenges as the focus. Working closely with both the business users and IT, CCI will create the bridge that can sometimes be missing in order to ensure what gets delivered hits the bull’s eye, and is well suited to grow and extend to meet evolving information needs as they develop.

If you don’t get the data right, the rest doesn’t matter. Working with tools from IBM/Cognos and, CCI allows you to attain and manage consistent and trusted data throughout the organization. Flexibility, Reliability and Agility are all requirements of successful data management strategies for forward thinking, data driven organizations.

Our expertise can assist and guide you as you design and build datamarts, or set up sophisticated connectivity to multiple data sources, or perhaps you need data cleansing or to automate ETL processes.

Many well designed BI solutions typically have a solid data mart/ data warehouse as their foundation. Here is where many projects fail before they even get started. Databases whose sole purpose is to serve up data to business users for better decision making should reflect that purpose in their design.

CCI espouses a data base design philosophy developed by Ralph Kimball. This philosophy is based on a star/snowflake schema design. This elegant approach has many advantages. Among them are rapid response time for queries, simple navigation, and extensibility. CCI has used IBM/Cognos tools for many years as a means of automatically generating star schemas. By mapping to all relevant data sources, doing necessary data transformations, and loading the newly designed data mart, CCI gets its customers off on the right foot quickly using tools like Decision Stream/Data Manager, Data Stage, Quality Stage, SSIS, and more.

By setting up a centralized data store with common data definitions, measures, and naming conventions, a well designed data mart serves as the source of consistent data. Its availability means a report created by finance will have the same numbers and use the same formulas as a different report created by sales. No more arguing about whose figures are right. In addition, the marts can be set up to automatically update on a pre-determined schedule. Hence, all users are guaranteed that their figures are up to date and reliable.


 

Data Mart Design & Development

Any well designed BI solution typically has a solid data mart/ data warehouse as its foundation. Here is where many projects fail before they even get started. Data bases whose sole purpose is to serve up data to business users for better decision making should reflect that purpose in their design.

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Data Cleansing and Validation

Accessing and moving data is only part of the challenge. The real value is in ensuring that the data can be trusted and is accurate. Inaccurate data can easily propagate to other systems and if used for a BI solution, will yield poor decisions. Poor decisions result in higher costs, reduced revenues and general poor.

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Master Data Management

Master Data, simply put, are those “things” we care about. They include a subset of what is entered in to our transaction systems, measured and reported on in our reporting systems, and analyzed in our analytical systems.

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