Clean Data

How many times have you received a piece of mail at your work or residence, and the address is correct but the recipient isn’t? The addressee ranges from someone who’s name is close to yours with the typos creating new and interesting aliases to people who sometime in the past lived or worked at the address. The most entertaining these are riffs on the names of people who may have lived or worked at that address combined with some sort of database which creates new people that never existed possibly living/working there. Then there is the case of my mom is receiving retirement home solicitations at my home address (in another city) although she’s never received a piece of mail there.

For a while I sold database and database tools and one of the most fascinating was one which cleaned up address lists. While this may seem a mundane exercise in data de-duplication, it is important and very common for contact lists, and this particular tool had broader application. For example, one company which was considering buying it was a natural gas provider. Of the hundreds of thousands addresses, they had a percentage of their customers who would move, not pay their bill and reappear at another address and sign up for service and use a variant of their name–different enough not to be flagged, but correct enough to allow them to sign up for service. They would have an address which might be a multi-family unit and have several people sign up for service at that address, and if they were all “P Smith” but actually different people, they had a billing problem.

Also, when the gas company would go to mail bills, if they had correct customer name information but incorrect address information, then the bill wouldn’t get to the address and the customer would be correct in not paying as they had never received notice. And last, incorrect recipients and addresses created waste (i.e., lost dollars and trash entering the waste stream) in the thousands of unneeded or possibly duplicate mailings.

So why does this matter for Sales Operations? Even though this was many years ago when snail mail was the predominate form of billing, correct information was at the crux of getting paid. Clean data is the foundation of smooth sales operations. And where clean data starts is the first time a prospect, company or customer is created in your CRM.

There are a few schools of thought in how to build prospects into a database–whether someone should be able to create an individual or be required to create a company in the CRM, but it is my opinion that the first thing is to create the company, and all data flows from there.

Believe it or not, this very activity is fraught with challenge. When the rep goes to create a company, have they done their due diligence? Is this prospect a subsidiary or the corporate HQ? and does the CRM have a process for creating parent/child businesses? Does the business have to have an address? And does this address have to be a corporate address or can it be local? Is the address a billing address or physical address or both? It goes on and on.

And while a lot can go awry in the entry of a new company, there is a step which should never be skipped and which should have penalties associated with it for skipping or for willful avoidance. And that is CHECKING FOR DUPLICATES. Why yell this at you with all caps? Because if a rep enters a company in a second (or third, or fourth…) time, it can throw off billing, accounting, quoting–a whole host of downstream issues which many times cannot be corrected later, corrected easily or corrected at all. And you may ask, why a penalty? Because many times I have seen where a rep has created a new account because the prospect they are working with is listed in another rep’s name. So instead of going to their sales manager about switching the account into their name, or possibly split/give up some money to the current account owner, they simply create a new account in the CRM. But in creating a new account, they create also create confusion and a new burden for smooth operations.

The burden lies with the information owner. If it is the sales rep’s responsibility to prospect and enter new companies into the database, then they need to follow specific guidelines to ensure the foundational elements are put in place the right way. Also, I have heard many reps say they don’t have time to enter all the information right then, which is fine, but they have to enter the minimum CORRECTLY. Here is my list of basic, correct info which should be entered:

  • Company name, spelled correctly, with proper capitalization and punctuation
    • “Vern’s Pig Farm” vs. “verns pig frm”
  • HQ Address
  • Location Address of the customer the rep is dealing with.
  • Contact (customer or prospect) name, spelled correctly with proper capitalization and punctuation and a correct e-mail address.
  • Billing info (I’ll cover all required for this in another post)
  • Delivery address (see the above comments about “correctly”).
  • Correct phone numbers (again, I will cover this in another post).

Last, the one thing which can be the biggest impedance to getting correct data entered can be how the company has structured what data is required to create an entry. What do I mean? At some companies, when a prospect is created, the creator is required to enter specific information to create the record. For instance, if I am entering “Vern’s Pig Farm” I might be required to enter an e-mail address as well as a phone number. If that information isn’t handy, then many people will enter filler information, like “212-555-1212” (don’t get me started about formatting…) or an email which is “xyz@vernspigfarm.com”. Can you see the problem? Right away, I’ve entered bad info which quickly propagates into a cascade of bad actions. E-mail marketing campaigns, telephone prospecting and follow up, etc. It is my opinion the minimum information needed to create a company should be a business name and a business phone number. And before that rep (or whomever) can create that company, there is a mandatory duplicate check.

This topic, essentially Data Hygiene, can go on ad nauseam, but always keep this one fact about data in mind: it is easier to start with the correct information than to go back and fix it.

Measure twice, cut once.

What are you doing to keep your data clean?

Thinks, Inc. is a consulting firm which specializes in Smart Sales Operations. If you’d like for us to come and assess your chaos, drop us a line at contact@thinks-inc.com

PS The Infrastructure Guy  and Smart Sales Operations are Trademarks of Thinks, Inc.