Data Warehousing

• DATA WAREHOUSING / DATA MINING: turning data into business intelligence...
  
  "It s an opportunity to know everything there is to know about how you do business."
  
  The information revolution has redefined the nature of knowledge, and has forever changed what it means to be truly informed-about your product, your customers and your operations. In fact, it has expanded the boundaries what is knowable. Understanding and interpreting this data is the mission of your IT assets, and the definition of the emerging field we call, "business intelligence." It's what gives the forward-looking enterprise its competitive advantage, and building state-of-the-art data warehousing and data mining systems is how it's done. It's an opportunity to know everything there is to know about how you do business.

  NUMAL provides just such an opportunity. Our expertise spans the full data warehouse life cycle, from the strategic design of large, highly complex data warehouses, to the formulation of business intelligence solutions that make sense of it all. In between, we're able to build, install, implement, train, staff and optimize the entire operation.

  At NUMAL, we deliver solid information architectures that are scalable to the meet the needs of any enterprise. We are on the cutting edge of technology in the use of methodologies, tools, and pure know-how in building and implementing data warehouse environments that allow customers maximum productivity and flexibility, enabling the most effective use of their data. We are experts in data migration using state-of-the-art tools such as Data Junction, an industry leader in effectively converting information between varying platforms, and equally experienced in platforms such as Oracle, DB2, SQL Server, MS Access, IDMS, ADABAS, Business Objects, COGNOS and MicroStrategy.

  You can be assured that NUMAL has the resources, commitment, and experience to provide an exceptional business intelligence experience that will exceed your expectations.

  NUMAL services include:

  • Full life cycle support for database architectures
  • Database design & evaluation
  • Merging data from multiple, disparate data to dynamic, enterprise-wide systems
  • Extraction, transformation and loading methodologies
  • Data migration, integration and legacy conversion
  • Migration of legacy systems to web-based information architectures