The
first step in assessing data quality is to figure out how your account uses
customer data to support its business objectives.
You
meet with managers and reps across your account and ask them:
·
What are your business
objectives?
·
What customer data do
you need to support those objectives?
·
How are you using that
customer data?
·
Where is your customer
data stored?
There’s
several key attributes that are important to data quality. It’s important to
understand these dimensions before fixing any data problems.
Data Quality Dimension
|
Description
|
How to Assess It
|
Age
|
Data doesn’t age like fine wine. When’s the last time each
record was updated?
|
Run a report on the Last Modified Date of records. What
percentage of records have been updated recently?
|
Completeness
|
Peanut butter without the jelly? No way! Similarly, you can’t
find upsell opportunities without complete company hierarchy and industry
information. Are all key business fields on records filled in?
|
Make a list of which fields are required for each business
use. Then, run a report that shows the percentage of blanks for these fields.
You can also use a data quality app from the AppExchange.
|
Accuracy
|
You don’t win Olympic gold for missing the target. Is your
data as accurate as possible? Has it been matched against a trusted source?
|
Install a data quality app from the AppExchange. It’ll match
your records against a trusted source and tell you how your data can be
improved.
|
Consistency
|
Is the same formatting, spelling, and language used across
records?
|
Run a report to show the values used for date, currency,
state, country, and region fields. How many variations are used for a single
value?
|
Duplication
|
Sometimes 2 isn’t better than 1. Duplicate data often means
inefficiencies. Are records and data duplicated in your org?
|
Install a duplicate detection app from the AppExchange.
|
Usage
|
Use it or lose it! Is your data being leveraged in reports,
dashboards, and apps?
|
Review the available tools and resources your business uses.
Are you optimizing data use?
|
One
of the AppExchange packages you really like is the Data.com
Assessment App.
You
now know how important data quality is to business growth. Bad data is linked
to lost revenue, missing insights, and reputational damage—to name just a few
things. Good data, on the other hand, lets your account do things fast and
accurately, like prospect and target new customers, identify cross sell
opportunities, and plan territories.
The
first step to improving data quality: develop a data management plan.
A typical data
management plan includes standards for creating, processing, and maintaining
data. Check out this useful reference table.
Data Standard
|
Description
|
Example
|
Naming
|
Set naming conventions for records. Always
include suffixes (Inc., Corp)? Abbreviations?
|
Make sure that company names are never
abbreviated except when the abbreviation is the standard name.
|
Formatting
|
Figure out how dates and money are
represented.
|
Use dd/mm/yyyy for all date formats.
|
Workflow
|
Determine processes for record creation,
reviewing, updating, and archiving. Determine all the stages a record goes
through during its lifecycle.
|
Route service requests associated with
California companies to reps in California.
|
Quality
|
Set appropriate standards for data quality, including the
ability to measure or score records. Put a value on age,
completeness, usage, accuracy, consistency, and duplication, along with any
other quality or value metrics specific to your business.
|
Active leads should
be updated at least once per month.
|
Roles and Ownership
|
Determine who owns
records, who’s accountable for changes to data, and who’s notified when there
are changes to data.
|
Assign leads
associated with California companies to sales reps in California.
|
Security and
Permissions
|
Determine the
appropriate levels of privacy for data. Make sure to comply with regulatory,
legal, and contractual obligations.
|
Make sure that only
regional team members can view confidential information on their leads.
|
Monitoring
|
Outline a process
for ensuring quality control of data. Determine the frequency, scope, owners,
and checks, including ways for updating data, preventing duplicates, merging
records, adding records, and archiving records. Determine metrics that can be
easily monitored in a dashboard.
|
Review leads without
industry information on the first day of each month.
|
To
implement your data plan, make Salesforce work for you! Specifically, make it
easier to create, update, and maintain customer data with a few key Salesforce
features.
Required
Fields
You
already know which fields are necessary to support your account's business
objectives. It’s in your data management plan. So make those fields required.
For your account’s leads, you make several custom fields required, including
those fields related to important dates and industry information. Then, leads
can be properly scored, assigned, and converted.
Validation Rule
Want to make sure that phone numbers follow a particular format? Use validation rules. Just set up validation rules for any field. Then, when records are saved, the data is checked to make sure that it follows the appropriate format. Validation rules are super versatile. For example, to make a standard field required, you can use a validation rule that checks to see if the field is blank. You use validation rules for phone, credit card, and customer ID fields. You also use validation rules to make standard lead contact info fields required.
Workflow Rules
Workflow rules are the magic wand in your Salesforce implementation act. Workflow rules let you automate standard internal procedures and processes to save time across your organization. You set up workflow rules so that leads are routed to the nearest rep. You do this to assign service requests, too. Now, your account’s reps can focus their time on growing business--not assigning records.
Page Layouts
There’s a zillion fields on some records, and you know your reps aren’t using half of them. So, ditch ‘em! That’s right, you remove them from the page layout for your reps. In fact, you create customized page layouts for different kind of reps and managers across your account. Give them the fields they need when they need them. While you’re at it, you put the most important, required fields at the top.
Dashboards
Why make your reps and managers wade through the swamp of reports and records? Instead, create simple dashboards to support business objectives. For your account, you create a series of dashboards for managers across company to show things like lead assignment and missing campaign data.
Data Enrichment Tools
Data is obsolete almost as soon as it’s entered. That’s why it’s important to regularly match your data against a trusted source. There’s a number of products that let you do this. You settle on Data.com Clean, which is available right within Salesforce!
Duplicate Management
Duplicate records are the bane of any rep’s existence! Which record is the right record? You make sure there’s one account record for each of your account's customer. Then, you leverage Duplicate Management, Salesforce’s built-in duplicate management tool, to prevent future duplicates.
Custom Field Types
You know the format your account wants to use for dates and currency. So, leverage field types on any custom fields. You make sure to assign all custom date fields to a Type = Date and all custom currency fields to a Type = Currency. For fields that have a standard list of values, you use Type = Picklist. And, speaking of picklists, you set up State and Country Picklists. That way, your reps choose from a standardized list of states and countries when they’re entering addresses.
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