Data is at the center of businesses today. And with time, the axiom is becoming increasingly common. Huge and dirty data volumes are not new for enterprises looking out to convert data into useful insights. However, the quality of data governs the efficiency of decisions, and when a robust and agile data clean-up process is leveraged, the outcomes are positive.
Clean data is a virtual regulator of enterprises’ ROI. Effective data clean-up minimizes the distance between the enterprise and the business goals, empowering enterprises to keep a consistent check on the health of the data.
But how to build that ideal data cleansing framework, a winning equation that can allow you to leave no scope for dirty data in your database?
Here is a presentation to offer you a detailed and step-by-step insight.
