Data Cleanup, Cleansing, Consolidation and Rationalisation

Companies will experience data degradation, duplication and lost data if they do not maintain sufficient control over data management, or acquire data from other companies, or they expand quicker than the data management environment can support. Problems with data may become so astute that companies have no option but to conduct a cleanup or cleansing exercise.

Venture can:

• Carry out a current state assessment to discover data sources and key data types, and evaluate the quality of data
• Use Venture's V-KIT toolkit to search data stores and assess the quality of data
• Define key data types with the business that need to be cleansed
• Establish standards and procedures to clean and maintain the key data types
• Collate and cleanse key data types for master stores
• Synchronise working project data with master store data
• Maintain and support data for the longer term.