Establish data veracity or “right data” implies …
You have the ability to grade the trustworthiness of data, establish lineage and auditability of data throughout its lifecycle, and determine the context in which data lives, is used and maintained.
Many organizations today are struggling to organize their business around data. They tend to use a number of point solutions to capture, curate and consume data, and hence face challenges such as:
- Inaccurate customer and contact data, leading to wrong promotions and offers.
- Duplicate data, leading to multiple views of the truth, thereby delaying decisions.
- Obsolete data, leading to incorrect insights (for forecasting and planning) and non-compliance with changing industry regulations.
- Manipulated data, leading to stiff penalties.
We believe that if organizations are to gain complete visibility into all aspect of enterprise data and base business decisions on “right” data, the data value chain itself must be conceptualized, planned and operationalized as a continuous, iterative and collaborative process.
Consequently, businesses get a very comprehensive “as is” view of their data veracity map and of high risk areas that need immediate remediation. Furthermore, to help companies know where they stand vis-à-vis others, the Intelligent Data Suite compares their data veracity scores against that of the peers in their industry.
Game changing insights
Establishing data veracity is critical to running a truly data-driven business. And, when that happens, your data-driven insights could well reveal game changing possibilities you have not yet imagined. This could take the form of making regulatory compliance at speed a business differentiator, building agile business models around new product lines and services, reconceptualizing your entire customer journey and marketing campaigns, or having the most productive workforce and profitable business ever. So why not make “right” data a top business priority?