Data Quality Management
Details
Data quality is a large and complex field with many dimensions. Every data quality practitioner needs a foundation of concepts, principles, and terminology that are common in quality management. Building upon that foundation, they need to understand how quality management concepts and principles are applied to data, as well as the language and terminology that specifically apply to data quality.
Outline
This course aims at providing a building strong foundational knowledge of the field of data quality. At the end of the course, the participants will learn how to optimize and evaluate survey data quality. Important goals in survey design are to minimize survey errors within a given budget and to acquire timely collected high quality data. Establishing effective and efficient fieldwork strategies will help to accomplish these goals. Optimal allocation of funds and total quality management are key issues in this area. Central in this course are all aspects of survey data collection.
Speaker/s
Special Offer
Kenvision Techniks is Kenya’s leading consultancy enterprise in business information management and media communication. Launched in the year 2004 and incorporated in 2007, Kenvision’s vision is to be a market leader in information and knowledge management and media communication facilitation
b. What Kenvision Techniks does
Kenvision provides professional guidance to business organisations in the area of information management We restructure clients’ records and other information systems where the systems have failed and establishing information systems where none exist.
We offer the following specific services in Records Management:
- File Management (Both Electronic & Paper)
- Migration to Electronic Records Management
- Web Content Management
- Email management
- EDRMS Project design Formulation and Implementation
- Corporate Information policy formulation
- Corporate information needs analysis (information auditing)
- EDRMS Software Procurement
- Document management and workflow systems
- Design and build Taxonomies & Business Classification Schemes
- Records Management
- Knowledge Management ...
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