What is Data Confidence?
Data Confidence is the way you and your colleagues feel when your organization can accelerate every data and AI use case — without compromising on safety or quality.
It happens when governance becomes an enabler rather than a bottleneck. Your people can find, understand and use trusted data across every system. Business context flows alongside technical metadata. And policies apply consistently everywhere data lives.
Bottom line: When your people can trust, comply and consume data confidently, innovation accelerates. That’s Data Confidence.
Unreliable data can be costly to your organization, including:
Inaccurate risk evaluations: Using the wrong data can mean the cost of improper balancing of financial, operational and security issues
Unsustainable resource allocations: Unreliable data can mean spending too much on budgeting, staffing or inventory. It can also mean missed opportunities
Erroneous performance evaluations: Missing or unreliable data can result in a lack of accountability, losses to competition and outcomes that were never in line with stakeholders expectations in the first place
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