You keep an eye on your own health and look out for the well-being of your residents. But you are monitoring the health and strength of your data?
If you make data-driven decisions, it’s crucial that the information you are working with is accurate. Inaccurate data has a direct impact on the bottom line of 88% of companies, with the average company losing 12% of its revenue, mostly in marketing dollars.
Lost as to how to nip bad data in the bud? Here’s how.
Get it right the first time
The surest way to eliminate errors is not to make them in the first place. Encourage your sales staff to clarify contact information while they have prospects on the phone. Make sure your web forms have mandatory fields, such as zip codes and phone numbers. Ensure you are getting complete information right off the bat.
Institute community-wide naming and data-entry conventions. Create a stylesheet that defines standards. Should staff keep the initial “The” before a company name or eliminate it? How should initials and titles be punctuated? Should it be “USA,” “U.S.,” “United States,” or “America”? Discrepancies in even the smallest details can lead to duplicate entries and lost leads.
Put it on the menu
Use drop-down menus whenever you can, both for web interactions with customers and for staff CRM inputs. Predefined options not only help increase standardization but also communicate to your customers that you understand what’s most important to them.
Educate your staff
Capturing accurate data starts with a sales staff committed to getting it right -- every time. Don’t just teach strategies for how to be accurate. Stress why as well. Show your staff the stories data can tell. Regularly share reports that will help them convert and close better -- reports that are only meaningful if the data is accurate.
Keep them accountable
Be sure your CRM records who is inputting your data. In order to catch repeated human errors, you must be able to identify who’s making them. When providing feedback to employees on bad data entry, be specific. Articulate the exact error to encourage precision moving forward.
Appoint quality control managers
Despite your best standards and training, errors will inevitably slip through. Appoint quality control managers to conduct weekly audits of your data. Have them focus both on correcting current errors and preventing inaccuracies in the future. Keep data on your bad data, noting what mistakes are repeatedly being made and who is making them.
Watch our webinar to learn more about how to make sure you have the quality data you need to make the best decisions for your community.