How Plugging 4 Key Areas Can Lead to Improve Data Quality

With the advent of data-based technological advancement, the importance of data quality has grown multifold. Bad data quality affects your company in multiple ways like causing inefficient operational processes, unsatisfactory customer service & flawed marketing campaigns; all of which lead to lower revenues and profit margins for the company.

To avoid this debacle, you just need to plug in 4 key areas which let bad data into the system:

• Data Entry Points — Maximum errors creep into your data at this point.
• Enterprise Information Landscape — Most of the organization have all the data they need, they are just present in data silos across the organization.
• Data Purchased — Purchased data have the maximum possibility of errors as the source is mostly not completely reliable.
• Data Management & Maintenance — Most of the organizations aggregate data but don’t ensure regular cleansing, and hence, the data gets degraded overtime.

Plugging these key areas ensures bad data is completely removed from your company’s database. This would in turn lead to improvements in operational processes, marketing campaigns, customer service and profit margins. A good quality data provides key insights enabling companies to take the right business-critical decision.

Check out the video to know how bad data affects your company’s processes & what steps you need to take to improve data quality.

Originally published at https://habiledata.kinja.com on December 19, 2019.