Special report: Data quality |
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By SearchDataManagement.com Staff
10 Apr 2006 | SearchDataManagement.com |
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| Data Quality Learning Guide |
| This compilation of news, analysis and technical advice has everything you need to know about data quality. |
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This month, SearchDataManagement.com will be taking a look at data quality. Think you are already a data quality expert? Then try these sample questions from our data quality quiz...
- Some organizations appoint this individual to be responsible for data management and data quality from a business perspective.
- a. data analyst
- b. data steward
- c. information architect
- d. data keeper
- This is a data management practice that characterizes the content, quality, and structure of your data.
- a. data enrichment
- b. data caving
- c. data refinement
- d. data profiling
- This term is used to define the process of consolidating and managing customer information from all available sources to create a single customer profile:
- a. Customer Data Integration
- b. Customer Relationship Management
- c. data profiling
- d. data consolidation
If you had any trouble answering these simple questions, then keep reading and learn a thing or two. Even if you passed with flying colors, keep checking back all month as SearchDataManagement.com brings you the latest on data quality practices, technology and governance.
- BI's seven fatal flaws
There are plenty of stories about failed BI projects, and Gartner analysts were happy to share them -- and their remedies -- at the annual Gartner BI show.
- Firm ties bonuses to data quality
With sales, customer records, quality assurance and reporting all relying on the CRM system, one company has tied its bonus structure to data accuracy.
- Is there hidden knowledge in 'dirty' data?
As companies rush to clean up data warehouses and delete dirty data, are they losing valuable intelligence about customers?
- Is there hidden knowledge in 'dirty' data?
As companies rush to clean up data warehouses and delete dirty data, are they losing valuable intelligence about customers?
- Information quality market to reach $1 billion
Compliance, poor returns on CRM and data warehouses and new technology are all driving the data quality market to reach $1 billion by 2008, according to a recent report.
- Getting BI and data quality together
Clean data is vital to an effective BI project, but the need for integration between the two technologies is not as clear cut.
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Data management market heats up
Thanks to compliance concerns, scattered data and integration difficulties, the market for master data management will exceed $10 billion, according to IDC.
- Be prepared to duel with data quality
Poor data quality can blindside an organization's BI or data warehouse project. Guest columnist Rick Sherman explains how to avoid common pitfalls that can derail that effort.
| Data quality tools and technology | |
- BI's seven fatal flaws
There are plenty of stories about failed BI projects, and Gartner analysts were happy to share them -- and their remedies -- at the annual Gartner BI show.
- Gearing up for the data security culture shift
Experts say securing sensitive data isn't a working habit for many employees. Forget documented data policies. When auditors (or hackers) dig deeper -- what will they really find?
- Security, privacy keys to CRM
High profile breaches of customer data at Bank of America and ChoicePoint should have firms thinking about how privacy affects the customer experience.
- Expert: Data quality is misunderstood
A leading authority on information quality improvement explains the most fundamental problems with data quality programs today.
| Have a data quality question? Ask our expert. | |
 Craig Mullins, Data quality and governance expert
Ask Craig a question.
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