Data Integrity Analyzed and Designed

The Problem

Data integrity is essential to ensure a high quality product or service, and this is particularly true when the data is used for high-stakes testing.

Reliable and accurate results were the keystone to this company's prominence in the marketplace. The company wanted to be certain that there was little risk of accidental or deliberate manipulation of data.

The Solution

Carolyn Picciotti led the team to:

• Evaluate current flow of data throughout the testing process
• Identify risks and controls currently in place
• Define balance of impact and risk
• Analyze key areas in detail
• Design and implement process changes and increased control

The Result

• Improvements in data integrity materially reduced the risk of errors, omissions and commissions

• Its high quality of work and products were strengthened and its leadership position in the marketplace preserved

Next Process