Data Quality Health Check

What is poor data costing your business?

Every day organisations make business decisions assuming the information in their system is accurate but for many it can be costly if the data is flawed, outdated or unchecked.

It’s estimated that organisations lose 20-30% of their operating revenue every year due to data quality and process issues. Larry English recently published a table showing that poor data and process quality was costing 122 ‘mostly reputable organisations’ over 1.2 Trillion US Dollars* (that’s $1,200,000,000,000).

Reduce Risk and Eliminate Cost with a Data Quality Audit

Regular data health checks help businesses in a number of ways:

• Reduce risk and regulatory non-compliance
• Improve decision making capability
• Increase operational efficiency
• Eliminate cost

Altis Consulting provides businesses with an independent Data Quality Audit so they have a better understanding on the accuracy of their data. Here’s a summary of our 5 Step process.

5 Step Data Quality Audit

1. Agree what to profile

2. Signed Confidentiality Agreements (we’re easy to deal with in this area)

3. Provide data sample

4. Run data quality analysis

5. Present data diagnostics and Data Quality Report