Several converging factors have resulted in the maintenance of information resources as an emerging key focus of leading organizations in virtually every sector of the economy. BayLou possesses years of experiencing in designing and implementing large data repositories that meet clients’ online analytical processing [OLAP] needs, using a number of start-of-the-art technologies and IT best practices.
The central task of data warehousing is to establish and maintain a repository of the organization’s transaction and business condition records that encompasses a range of subjects, including organizational transactions and business conditions. Satisfies enterprise-critical needs. Provides broad accessibility to a centralized data resources. Serves as the authoritative source for decision-support analytics and reporting. And enables a stable view of the organization’s history.
Poorly designed data repositories can lead to costly delays and missed opportunities. Major overhauls can lead to missed enterprise-critical opportunities such as a major customer selecting a competitor’s product over your organization’s or forfeiting cost saving from changes in the organization’s logistics systems.
Managers responsible for implementing a sound data warehousing strategy must answer a number of who, what, when, where, how, and how much questions:
- What subjects must our data warehouse cover (e.g., sales, general ledger, customer incidents, financial, etc)?
- With what regulatory requirements must our data warehousing solution comply?
- Which organizational policies influence our approach and how?
- Who are the most likely users of the anticipated data?
- What management decisions and process capabilities must departmental stakeholders achieve through the repository?
- How should we proceed with cleaning data creating by different departments using incompatible standards?
- How should the data be maintained? Raw form? Aggregations? Divisional? Customer-based?
- How much data does a proposal repository entail over the course of 1, 3, 5, and 10 years?
- Where should the data repository be housed? Centralized or distributed? Primary and backup?
- What available technologies would best support our data warehousing requirements?
- What are the financial implications (e.g., initial investment, residual costs, cost-benefit) of our data warehousing commitment?
BayLou assists clients in working through myriad considerations that go along with sustainable data warehousing architecture. We bring years of experience on consolidating, cleaning, converting, loading, and management repositories on various windows and Linux platforms. Our expertise encompasses a number of relationship database management systems such as MySQL, PostgreSQL, Oracle, MS Access, etc. And we have built database of all sizes, including those with thousands of records to those in the hundreds of millions. We approach what is an organization’s significant undertaking from the vantage point of the client’s multiple business disciplines. By coupling our understanding of the various organizational stakeholders with technology expertise, BayLou services position clients to position data warehousing as a strategic driver of profit, service, market share, and other goals.