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Finding an upside in the downturn with data quality

March 2010 | 15 pages | ID: FC6FAF4C5E4EN
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The current macroeconomic malaise means organizations in almost every sector are finding it tough. IT budgets are under scrutiny and many new projects have been put on hold or cancelled. An economic downturn forces many businesses to focus inwards on reducing costs and improving efficiencies to prop up its revenues and profit margins. Although companies are relying even more on IT systems to run their businesses in a leaner and meaner fashion, new IT investments are invariably impacted as well. CIOs are left scratching their heads on how to sustain and fund important information management projects such as master data management (MDM) and data quality. This paper argues against cutting into these projects too deeply. An economic downturn highlights the importance of accurate and up-to-date information to optimally drive business applications and decision-making. Hence, a rigorous data quality program is now a business imperative rather than a luxury. Implemented correctly, it not only gives organizations the agility to better ride out the current recession but also raises their competitiveness when the economy recovers.
SUMMARY

Impact
Ovum view
Key messages
Data shines brightest in a downturn economy
Spotlight on data quality
The devil is in the detail
Causes and effects of dirty data
More data means less quality
Counting the cost of bad data
A data quality problem can’t be solved overnight
There’s no automatic spin cycle for data quality
Bridging the business-IT divide
Solving the data quality paradox

RECOMMENDATIONS

Get the right business-focused elevator pitch
Bake data quality into the enterprise
Closely track data quality programs during a recession

APPENDIX

Further reading
Methodology


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