By Alan Simon
Nearly each huge company and governmental corporation is taking a clean examine their present enterprise-scale company intelligence (BI) and information warehousing implementations on the sunrise of the "Big info Era"…and such a lot see a severe have to revitalize their present features. whether or not they locate the tricky and business-impeding continuation of a long-standing "silos of information" challenge, or an over-reliance on static construction studies on the rate of predictive analytics and different precise company intelligence features, or an absence of growth achieve the long-sought-after enterprise-wide "single model of the reality" – or the entire above – IT administrators, strategists, and designers locate that they should return to the strategy planning stage and convey a new BI/data warehousing roadmap to aid circulation their corporations from their present nation to 1 the place the guarantees of rising applied sciences and a generation’s worthy of most sensible practices can eventually carry high-impact, architecturally evolvable enterprise-scale enterprise intelligence and information warehousing.
Author Alan Simon, whose BI and information warehousing adventure dates again to the past due Seventies and who has individually added or led greater than thirty enterprise-wide BI/data warehousing roadmap engagements because the mid-1990s, info a entire step by step method of construction a top practices-driven, multi-year roadmap within the quest for architecturally evolvable BI and knowledge warehousing on the firm scale. Simon addresses the triad of know-how, paintings techniques, and organizational/human components issues in a fashion that blends the visionary and the pragmatic.
- Takes a clean examine actual enterprise-scale BI/DW within the "Dawn of the massive info Era"
- Details a checklist-based method of surveying one’s present nation and settling on which elements are enterprise-ready and which of them are impeding the main pursuits of enterprise-scale BI/DW
- Provides an method for the way to research and test-bed rising applied sciences and architectures after which determine the best way to contain the suitable ones within the roadmaps that would be developed
- Presents a tried-and-true method for construction a phased, incremental, and iterative company BI/DW roadmap that's heavily aligned with an organization’s company imperatives, organizational tradition, and different considerations
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Additional info for Enterprise business intelligence and data management : a roadmap for it directors,... managers, and architects
Scoring the Four Evaluation Factors for Work Processes and Human Factors Work Processes and Human Factors Complexity Index 5 (best) Roles and responsibilities for reporting, data management, support, etc. are widely accepted and well documented through a RACI (responsible/accountable/consulted/informed) matrix or similar formal role-to-responsibility mechanism. Even when many individuals from a number of organizations are involved in a particular data-related effort, the flow of control and information are orderly and efficient.
By the mid- and late 2000s, however, the data volumes required to be managed by data warehouses were beginning to put significant strain on the RDBMS platforms. While early generation data warehouses typically stored summarized data rather than lowest-grain transactional data, modern data warehouses increasingly included the most detailed transactions as well as higher-level summarizations. While RDBMS and storage technology were certainly capable of storing significantly larger volumes than in earlier years, capacity demands were quickly catching up with and threatening to surpass what the RDBMS engines could comfortably manage.
Reports are often recalled and updated; sanctions letters from governmental or industry-regulating bodies have occurred because of erroneous reports. Support Index 5 (best) Operational reporting is typically a fully automated, “lights out” process with little or no just-in-time support needed from the Help Desk, development teams, etc. A high degree of self-service operational querying occurs throughout the enterprise by end users at all levels of the organization, with little or no assistance required from IT.
Enterprise business intelligence and data management : a roadmap for it directors,... managers, and architects by Alan Simon