Data Warehousing

TO BUSINESS PROFESSIONALS

Surprisingly, your corporate data does not naturally present itself in ways that can help your business make decisions. Rather, data is originated to service the inner workings of your applications processes.  Additionally, you likely have more than one of these applications generating data every day.  So not only is the data too low level to be meaningful, but it's disparity between different systems makes it nearly impossible to capture the organization from a mission level view.  And this is really the meat of what a Data Warehouse provides.  Rather than having to see your organization from the perspective of a particular application database, we integrate the data into a single mission level view of your data on a unified database.

If you don't have a Data Warehouse, then you're paying for it every day in manual labor.  Every time you go and request information to make a decision, your employees need to manually go gather data and roll it up.  (Usually in Excel Spreadsheets or Access Databases, right?)  This means that every time a request for data is being made you are reworking that data gathering and roll up.  The unfortunate part of that process is that it is error prone.  Standardizing and centralizing that data gathering process is what a Data Warehouse brings to the picture.  Rather than paying for it every day, you conduct a concentrated effort to mechanize the process in an automated and reliable data extraction procedure.
 

TO TECHNICAL PROFESSIONALS

We know how difficult it can be to try and satisfy the Business Intelligence needs of a business without having a Data Warehouse in place.  Part of our job is to help the Business see the benefits of centralizing logic and making your world more scalable.  Data Warehouses are the antithesis of a packaged solution, which is why so many Data Warehousing projects can fail.  The only real anchor to a successful Data Warehouse deployment are best practices and a fundamental understanding of the business.  
 

INTRICITY'S CONTRIBUTION

Few solutions require the level of cooperation between technical and business people as much as Data Warehouses do.  We act as a bridge between these two very different parties.  First fundamentally understanding the business, through top down facilitated executive sessions.  Then we go bottom up, understanding your technical landscape and data profile.  Bringing these two together sets the foundation for a successful design and development kick off.  Intricity is experienced in a wide array of data structures, such as, data warehouses, operational data stores, data marts, cubes, column stores, and data warehouse appliances, all of which enable organizations to transform data into information.
 

DATA INTEGRATION

All data is not the same, and the success of any data warehouse initiative depends on an accurate retrieval, cleansing and transformation process. Intricity is expert at developing ETL (extract, transform and load) mappings that migrate and integrate data from disparate systems into target data structures; and we take pride in our ability to design, build and maintain the evolving structures of databases. We utilize industry standard methodologies and tool sets to create the most effective architecture for meeting your organization's information needs.
 

DATA REPOSITORIES

Each implementation requires different data structures, and Intricity understands all of them - operational data stores, data marts, cubes, data warehouses and internet warehouses. Our team of data modelers will analyze your data elements and create the optimum logical and physical model for ensuring your data is accessible, usable and available in accordance with your business demands.

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