Data Strategy by Sid Adelman

By Sid Adelman

The definitive best-practices consultant to company data-management strategy.You can now not deal with company facts "piecemeal. to maximise the enterprise price of your info resources, you need to outline a coherent, enterprise-wide info method that displays the entire methods you catch, shop, deal with, and use information.In this ebook, 3 popular information administration specialists stroll you thru growing the optimum information approach in your association. utilizing their confirmed options, you could decrease and upkeep expenditures, and rein in out-of-control facts spending. you could construct new platforms with much less probability, greater caliber, and enhance info entry. better of all, you could combine new purposes that aid your key enterprise objectives.Drawing on genuine company case stories and confirmed top practices, the writer crew covers every thing from goal-setting via coping with safeguard and function. you are going to the best way to: * determine the genuine dangers and bottlenecks you face in offering data-and the correct options * combine company information and increase its caliber, so it may be used extra broadly and successfully * Systematically safe firm info and safeguard purchaser privateness * version facts extra successfully and take complete benefit of metadata * opt for the DBMS and knowledge garage items that healthy top into your total plan * easily accommodate new company Intelligence (BI) and unstructured information functions * increase the functionality of your corporation database functions * Revamp your company to streamline day by day info administration and decrease price * facts process is essential for everybody who must deal with company information extra efficiently-from database architects to DBAs, technical employees to senior IT decision-makers.

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Data Redundancy Data redundancy is rampant in almost every organization. It is not at all uncommon to find data repeated 10, 20, or even more times within the organization, and nobody knows which file is the system of record and which copy of the data most accurately reflects the real world. Although there are legitimate reasons for consciously maintaining controlled redundant data (such as performance, legal, and security reasons), uncontrolled redundant data contributes significantly to the costs of developing and maintaining multiple redundant databases and applications.

Day Day Up > < Day Day Up > Consolidation and Federation Data consolidation and data federation are alternatives to true data integration. The commitment to enterprise-wide data integration is usually found in organizations with a higher level of data management maturity than organizations that stop with data consolidation or data federation. Data Consolidation Many people confuse data integration with data consolidation. Consolidating data simply means gathering data elements that describe the same business entity (such as CUSTOMER) from multiple source databases and storing them in one database.

Business Attribute Rules Business attributes are subject to two data quality rules, not counting dependency and validity rules. The two rules are data inheritance and data domains: • Data inheritance The inheritance rule applies only to supertypes and subtypes. Business entities can be of a generalized type called a supertype, or they can be of a specialized type called a subtype. For example, ACCOUNT is a supertype entity, whereas CHECKING ACCOUNT and SAVINGS ACCOUNT are two subtype entities of ACCOUNT.

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