Building and executing a data quality strategy can be a massive organizational project, but having the right people, processes and technology in place will ensure a successful and effective journey. Check out 10 tactics for you and your organization to start building an effective data quality strategy.

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10 steps to better data
quality

2. Data quality can seem
like a daunting task.
Use our 10 steps to
help you develop an
action plan to
approach the data
quality challenge.

3. 1) Start at the end
Before starting, ask:
What do I want to do with this data?
This impacts the amount
and type of data you need.
Consider your objectives to
ensure your data is fit for
purpose.

4. Gather the data you already have. What are
the gaps? What else do you need? Consider
everything you might want to know about a
customer or prospect so that you can collect
this information from day one.
2) Consider what
you need

5. Every year in the U.S….
 2.5 million people die
 2.2 million get married
 40 million move
3) Measure quality
With so much changing data, you need to
account for updating and measuring quality
of information on an ongoing basis.

6. Examine where you are now, establish where you
would like to be and then assess your
performance against those targets.
4) Benchmark progress

7. Stakeholder support is
essential for success of data
quality. Think about key
drivers and pain points for
the business, and show how
the data quality strategy will
help improve things.
For example….
If an operations manager wants to
reduce costs, explain how better data
quality can decrease returned mail.
5) Secure buy in

8. Connecting the proposed data
quality investment
to company objectives creates
a good business case. Look to
tie to:
6) Get investment
 Reputation
 Revenue
 Cost
 Profit
 Compliance

9.  Ensure everyone in
the organization is
trained on processes
 Hold regular review
meetings to confirm
processes are
efficient and effective
7) Put effective
processes in
place

10. Find technology that fits your organizational needs,
with room to grow.
8) Use technology
89% of companies will
prioritize a data quality
solution this year.

11. Key metrics to consider:
 Speed: Are you saving time
capturing and cleansing
data?
 Accuracy: Is your data more
accurate against your
benchmarks?
9) Assess progress

12.  Revisit initial objectives
 See how your results are
performing
 Review the process regularly
 Make sure key stakeholders
are informed of performance
10) Start again

13. Data quality can’t be
left to look after itself.
Contact us at www.edq.com/contact to learn how
we can help build and support your strategy.