Primarily executives do not trust their data. So, if this is the case, they will not rely on their data to take decisions.

Data trust is mainly built on three pillars: Validity, Reliability and Governance.

Validity – is the data correct?

Reliability – is the data accurate and timely?

Governance – is the data compliant and satisfy business requirements?

In addition, as organizations begin to share information internally and externally with third parties, there comes a greater need for secure and trusted data sharing.

Time for a Data-centric approach

"Data-centric" refers to an architecture in which data is the primary and permanent asset, and goes a step beyond being data-driven. Data-centric Trust means that you have complete control over and visibility into how your data is created, accessed and used and re-used across its entire lifecycle.

To trust your data, you need to be able to prove the following:

Data Provenance: Mathematically prove the complete provenance of data — including who, when and where created it, read or modified it.

Data Lineage: Be able to keep track of traceability of changes in your data with version control. “Time Travel” allows you to issue queries against any moment of time and instantly retrieve the data as of that instance.

Data Integrity: Be able to prove that your data remain intact and have not been manipulated. Validata ConnectIQ is built on a data-centric architecture that embeds trust directly into data, accelerates data delivery, facilitates secure data sharing and enables rich data insights with data integrity at the core.

With trustworthy data, you gain the confidence of basing decisions on complete, accurate, and timely information. This means making decisions that will lead to better outcomes, higher revenues, and more growth.