Our own Loraine Lawson talks often about the importance of being diligent when it comes to data quality. But she’s not without sympathy for those organizations that just can’t seem to keep up; she just last week compared data quality initiatives to keeping up with laundry:
Data quality strikes me as the business equivalent of laundry. It just never ends, with the cleaning up of the data, the removing bad records, the synchronizing.
But what if your data quality problems aren’t so much the result of a lack of diligence but of manpower? After all, ensuring that your data is in tip-top shape requires lots of time and effort.
If you’ve decided to add a member or two to your team to tackle your data quality initiatives, we’ve got you covered with these job descriptions, covering a variety of data-related roles to ensure your data management requirements are being met.