By Alan Simon
Nearly each huge company and governmental organization is taking a clean examine their present enterprise-scale enterprise intelligence (BI) and information warehousing implementations on the sunrise of the "Big info Era"…and so much see a serious have to revitalize their present functions. whether or not they locate the not easy and business-impeding continuation of a long-standing "silos of information" challenge, or an over-reliance on static creation stories on the fee of predictive analytics and different actual company intelligence features, or an absence of growth in attaining the long-sought-after enterprise-wide "single model of the reality" – or all the above – IT administrators, strategists, and designers locate that they should return to the drafting board and bring a new BI/data warehousing roadmap to aid circulate their companies from their present country to at least one the place the guarantees of rising applied sciences and a generation’s worthy of top practices can ultimately carry high-impact, architecturally evolvable enterprise-scale enterprise intelligence and information warehousing.
Author Alan Simon, whose BI and information warehousing event dates again to the past due Nineteen Seventies and who has for my part introduced or led greater than thirty enterprise-wide BI/data warehousing roadmap engagements because the mid-1990s, info a complete step by step method of development a top practices-driven, multi-year roadmap within the quest for architecturally evolvable BI and information warehousing on the firm scale. Simon addresses the triad of expertise, paintings techniques, and organizational/human components issues in a fashion that blends the visionary and the pragmatic.
- Takes a clean examine precise enterprise-scale BI/DW within the "Dawn of the large info Era"
- Details a checklist-based method of surveying one’s present nation and making a choice on which elements are enterprise-ready and which of them are impeding the most important targets 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 right way to comprise the suitable ones within the roadmaps that might be developed
- Presents a tried-and-true technique for development a phased, incremental, and iterative firm BI/DW roadmap that's heavily aligned with an organization’s enterprise 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
Tension Index 5 (best) Few if any conflicts arise over who “owns” certain data; where certain data should be housed and stewarded; etc. 3 Turf wars exist regarding usage of data marts and other data stores, and data lineage among the various systems is increasingly murky. 1 (worst) Simply mentioning “data” almost always causes tempers to flare; attempts to address data issues rarely get anywhere because of interorganizational and interpersonal issues that also impede the effectiveness and efficiency of the business as a whole.
Quality Index 5 (best) Results on BI reports are largely trusted to be accurate; recommendations from predictive analytics capabilities can be evaluated on their own merits without worrying about the quality of the data that went into the models; etc. 3 Some BI reports are trusted, but factors such as the complexity and inconsistency of undocumented business rules; lack of handling history in slowly changing dimensions (SCDs) for as-was reporting; and inconsistent data cross-referencing cause a substantial portion of the BI to be untrusted.
Thus, the scoring of the current state (Chapter 2) needs to be tempered by the trajectory of operational reporting, strategic insights, data architecture, and work processes/human factors as determined by what’s already underway across the enterprise. Modern Enterprise Business Intelligence and Data Management Copyright © 2014 Elsevier Inc. All rights reserved 38 Modern Enterprise Business Intelligence and Data Management While not an exhaustive list, this chapter does provide a broad sampling of the most common types of business initiatives found today that need to be considered as part of an EDM roadmap effort.