Data Strategy by Sid Adelman

By Sid Adelman

The definitive best-practices advisor to firm data-management strategy.You can not deal with firm information "piecemeal. to maximise the enterprise worth of your information resources, you need to outline a coherent, enterprise-wide information approach that displays all of the methods you catch, shop, deal with, and use information.In this ebook, 3 well known info administration specialists stroll you thru growing the optimum facts method in your association. utilizing their confirmed strategies, you could decrease and upkeep expenses, and rein in out-of-control information spending. you could construct new structures with much less chance, better caliber, and increase information entry. better of all, you could find out how to combine new purposes that aid your key enterprise objectives.Drawing on genuine company case reviews and confirmed most sensible practices, the writer group covers every little thing from goal-setting via handling defense and function. you will how you can: * determine the genuine dangers and bottlenecks you face in offering data-and the proper options * combine company facts and increase its caliber, so it may be used extra generally and successfully * Systematically safe company information and safeguard client privateness * version information extra successfully and take complete benefit of metadata * select the DBMS and knowledge garage items that healthy most sensible into your total plan * easily accommodate new company Intelligence (BI) and unstructured info purposes * increase the functionality of your online business database purposes * Revamp your company to streamline day by day facts administration and decrease price * information process is integral 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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Day Day Up > < Day Day Up > 43 44 Getting Started One of the first steps to get started with a data strategy in your organization is to assess the current state of your data assets. Only then can you come up with a strategy and a tactical implementation plan that addresses your specific problems in a sequence that has the highest payback for your organization. Take the following steps to create and implement a data strategy: • Measure Start by measuring the costs associated with the "disintegrated" data in your organization.

For example, you can capture data lineage for the subset of data elements used by your DW with the metadata in the ETL tool. The tool tracks what data is sourced, how the data is transformed, and where it is stored for access. In addition to the ETL tool vendors, most BI and DW software vendors have some metadata 39 40 capability to trace data lineage built into their products. This is an untapped resource that should be exploited. Multiple DBMSs and Their Impact Having multiple DBMSs can be an obstacle to data integration, especially when the same system is required to access these multiple DBMSs.

No more redundancy. Consistency of data content. Improved data quality. Easy reporting. Easy maintenance. ERP Realities Cross-organizational integration is limited to the operational functions converted to the ERP package. Reduced data redundancy is limited to the converted operational systems. Data content is almost as consistent or inconsistent as it was on the old legacy systems because it is rarely changed or cleaned during conversion. Data quality is usually as good or as bad as it was on the old legacy systems because only limited or no data cleansing was performed during conversion.

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