Services
Data Warehouse Assessment
Full Life Cycle Development
Full Life Cycle Development
MANY ORGANIZATIONS are making significant investments in data warehouse and/or data mart technologies. Yet not all of these organizations are realizing the full value of their investment for a variety of reasons. The data warehouse often lacks credibility because the information delivered is not accurate, consistent, timely or complete,
MANY ORGANIZATIONS are making significant investments in data warehouse and/or data mart technologies. Yet not all of these organizations are realizing the full value of their investment for a variety of reasons. The data warehouse often lacks credibility because the information delivered is not accurate, consistent, timely or complete, or the technical infrastructure doesn’t scale to meet the ever-changing needs of the business community. The business users soon begin to take matters into their own hands and create their own data stores in Excel and Access which leads to multiple versions of the truth and a lack of common terms and definitions across the organization.
Full Life Cycle Development
Full Life Cycle Development
Full Life Cycle Development
- Requirements gathering
- Requirements analysis
- High level design (HLD)
- Low level design (LLD)
- Development – Automating scripts
- Testing
- User Acceptance Testing (UAT)
- Project release or deployment
- Warranty support
EDW Cloud Migration
Full Life Cycle Development
EDW Cloud Migration
Faster time to market increasingly drives companies of all sizes to move their legacy data warehouse applications to the cloud. Other factors include: cost reduction, operations simplification, scalability and elasticity. However, all these benefits could be offset by the biggest challenge Information Technology (IT) departments face, na
Faster time to market increasingly drives companies of all sizes to move their legacy data warehouse applications to the cloud. Other factors include: cost reduction, operations simplification, scalability and elasticity. However, all these benefits could be offset by the biggest challenge Information Technology (IT) departments face, namely, choosing the best path to moving legacy data warehouse applications to the cloud.