7 Things to Consider When Looking At Your Data
Data quality is key when it comes to making good returns on your data. With poor data, you’ll be wasting time that could be better spent elsewhere and have significantly more trouble on turning a profit from your unorganized resources.
It’s important to be active about the health of the data. We’ve compiled a list of seven things to consider when working to make your data as efficient as possible:
1) Is it organized? – Organization is key to good data. With no proper organization, your data is going to take significantly longer to sort through. In regards to abbreviations, there’s over three dozen ways to spell out just a company’s name. How will your sales and marketing teams know how to find a record if there’s a bunch of different ways to represent it?
2) How fast can you get new data? – If your teams are spending the majority of their day manually scraping the web for new records with matching contact and firmographic information, you’re going to see very little return. The rate you can gather new leads to call on is a great indication about the health of your data management processes.
3) Do you have missing or incomplete data? – What good is a record if you have no way of using it. Without contact information, your data is useless. You should always be making sure that your data has completed fields including names, associated company names, geographic locations and most importantly, contact information like emails and phone numbers.
4) Is your contact information verified? – Even if you have emails and phone numbers, are they the right ones? Are your phone numbers associated with old, discarded phones or are the emails from old companies that your leads haven’t worked for in years? These are important questions to ask when dealing with contact information. You need to have a method to be making sure that you’re not wasting time calling a number that will never be answered or sending emails that keep getting bounced back.
5) Are there active duplicates? – Duplicates are the biggest impediment to having clean data that there is. Any duplicates in your database are generally bad news. They create confusing sales interactions between teams and clients, take time to sort through and are bothersome to moderate and remove. You should always be getting rid of preexisting and incoming duplicates in order to maintain maximum data health.
6) What preventative measures do you have to stop more bad data from coming in? – As long as new records are coming in, bad data will be sure to follow without preventative measures. Since new duplicates and incomplete data are always coming in, you need to stop them before they interrupt your sales and marketing processes. Even if you can take care of that, good data decays at a rate of 2.2 percent per month, which means you need to have active upkeep on good data turned bad as well.
7) When deleting duplicates, are you keeping ALL data? – While duplicates themselves are usually always bad, sometimes a duplicate has some value within it that becomes lost when duplicates are deleted without seeing what’s inside of them. Take for example a record that becomes a duplicate because one sign-up was done with a work email, while another was done with a personal email. You wouldn’t want to lose the personal email. That’s a valuable contact point when you know your message is more likely to be read. You need something in place that can grab all the new information from duplicates when they’re deleted.
So, do you have solutions in place to work with all of these points to consider? You do want your data to be the best that it possibly can be, after all.
If not, consider implementing RingLead Data Management Solutions to your Salesforce data today. RingLead has the only full stack data management suite that can:
- Normalize preexisting and incoming data
- Automatically generate new leads in real-time from over three dozen online data sources
- Enrich preexisting and incoming data to get rid of missing and incomplete data fields
- Verify contact information
- Get rid of all duplicates in a CRM
- Prevent all future duplicates from ever touching a database
- Merge records when deleting duplicates so all data is preserved
If you’re a Salesforce user, you could qualify for a 30-day free trial right now. To find out, fill out the web form on the side of the page and one of our reps will be in contact with you as soon as possible.