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Information Quality - Strategies for Achieving Desired Results

In 2005, CFO Research Services, in collaboration with Deloitte Consulting LLP, conducted a survey of senior finance and IT executives in North America, Europe and China.1 The 385 respondents to the survey painted a startling picture of the state of information quality (IQ) at the world's leading companies. The results of the survey spoke volumes about where those companies are in their journey toward IQ - and about how far they still have to go.
 
This page of 'Latest Trends' is linked to:  Data Quality,

The complete survey findings can be found at IQ Matters: Senior Finance and IT Executives Seek to Boost Information Quality.

The overall assessment is that while most of the companies have not been able to achieve the goal of good information quality, there have been some achievers. These achievers have shared the following tricks:

  • Removing complexity in their information architectures and processes.
  • C Level executive support to IQ efforts.
  • Simplifying business processes.

Other findings also talk about the increasing role of finance function in owning the information quality, and need for finance staff to collaborate with IT staff to enable the same.

Execution-MiH comments on these findings:

While CFOs are taking increasing role in ensuring the IQ, this may be true for financial information, the same may not be said about the non-financial information. For example, a typical organization should hold head of operations for operations related data (manufacturing, work in progress, delivery statuses..), and customer data to head of sales and distribution (say). CFO can be a good candidate for having business ownership of all information quality. However CFO needs to assign ownership to respective business functions for respective data domains.



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Relevant Links to this page
TOPIC - Data Quality Definition- What is Data Quality? → Data Quality Tolerance and Business-Case → Root Cause of Data Quality Issues → Impact of Bad Data Quality →  → Business Intelligence Competency Centre (BICC) →  → Business Intelligence is more of a business and HR challenge, rather than a →  → Master Data Management →  → There are challenges around building end-to-end business intelligence (Survey →  → Major Software AG Customer Survey Reveals New Priorities for Legacy Systems →  → Many Operational Metrics Do Not Optimize Corporate Profitability →  → The Business Intelligence Payoff is Here, Reveals Business Week/Knightsbridge →  → There is a Growing Demand for Live Reporting in the Real-Time Enterprise (July →  → Ability to Mine Data Major Roadblock →  → Ipedo and ebizQ: EII Survey (March, 2006) →  → Data Quality Survey Results from Harte-Hanks Trillium Software →  → Gartner Survey Shows Disconnect Between BI Vision and Strategy →  → Big ERP/database apps players acquiring independent Business Intelligence apps- Possible impacts →  → Business Intelligence through SaaS (Software as a Service) →  → Enterprise Search in Business Intelligence- Very nascent but huge promise →  → In-Memory Analytics →  → Out-Sourcing of Data Analytics →  → Latest Trend Series- Embedded BI- Overall Trend →  → Service Oriented Architecture (SOA) Enabled Business Intelligence → 
 
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Relevant links to this page
Data Quality Definition- What is Data Quality?
Data Quality Tolerance and Business-Case
Root Cause of Data Quality Issues
Impact of Bad Data Quality
Business Intelligence Competency Centre (BICC)
Business Intelligence is more of a business and HR challenge, rather than a
Master Data Management
There are challenges around building end-to-end business intelligence (Survey
Major Software AG Customer Survey Reveals New Priorities for Legacy Systems
Many Operational Metrics Do Not Optimize Corporate Profitability
The Business Intelligence Payoff is Here, Reveals Business Week/Knightsbridge
There is a Growing Demand for Live Reporting in the Real-Time Enterprise (July
Ability to Mine Data Major Roadblock
Ipedo and ebizQ: EII Survey (March, 2006)
Data Quality Survey Results from Harte-Hanks Trillium Software
Gartner Survey Shows Disconnect Between BI Vision and Strategy
Big ERP/database apps players acquiring independent Business Intelligence apps- Possible impacts
Business Intelligence through SaaS (Software as a Service)
Enterprise Search in Business Intelligence- Very nascent but huge promise
In-Memory Analytics
Out-Sourcing of Data Analytics
Latest Trend Series- Embedded BI- Overall Trend
Service Oriented Architecture (SOA) Enabled Business Intelligence
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