Aligning Data Capture and Use (Back and Front End Operations) to Deliver Strategic Customer Data
- 4% of respondents very satisfied with their companies' data integration and analysis
- 40% say their workers often make poor decisions because of inadequate data
Statistics: Economist Intelligence Unit- "Business Intelligence: Putting Information to Work"
Analyzing poor data is worse than not analyzing it at all.
Data quality is not a new issue facing the enterprise. It is a critical factor in making informed business decisions, yet data quality is just moving up the priority list.
There has been, and continues to be, movement towards an enterprise-wide awareness of data quality issues, and steps are being taken to ensure that customer data is captured and analyzed/used to its fullest potential:
1. Measuring data quality is the first step in understanding that data's strengths and weaknesses. It allows business users and IT to understand the implication of data usage on data driven projects.
2. The technical group needs to work with the business group who understands the data and the business objective. Then both IT and the business group determine how to build a good, quality database to store their data. It's about integrating customer data into the enterprise data management strategy.
For IT, good data means more efficiency, less firefighting and more strategizing. For business, good data increases customer satisfaction which means more profit.
Software has to analyze more than simply date, it has to analyze relationships. It's a people issue, not simply a software issue. A full understanding of business objectives is needed in order to provide incentive for the back end (data input) to be accurate and complete.
Take away points include:
• How to plan and implement an enterprise-wide data quality strategy, unifying the front and back end of operations (business and IT)
• Looking at data quality as a people issue, and not simply a technological issue: Integrating the human aspect with the software to create a holistic solution
• How does a company measure data quality? Identifying a unique approach based on company-specific business objectives
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The web conference is sponsored by: Harte-Hanks Trillium Software®
Harte-Hanks Trillium Software® has been selected by companies worldwide, both large and small, to improve their operational and analytic business decisions through accurate and timely information. Trillium Software offers an integrated suite of Total Data Quality software and services architected to discover and correct today's data quality problems and establish a platform prepared for tomorrow's yet unknown data challenges. The Trillium Software System® is recognized as critical to the success of customer relationship management, master data management, customer data integration, data warehouse, business intelligence, enterprise resource planning, supply chain management, e-business, and other enterprise applications, and data integration, data migration, data stewardship, and data governance initiatives.
www.trilliumsoftware.com
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