Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Put Data Quality in Those Requirements, Already!
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > Put Data Quality in Those Requirements, Already!
Data Warehousing

Put Data Quality in Those Requirements, Already!

DataQualityEdge
DataQualityEdge
5 Min Read
SHARE

Business Analysts look at all kinds of requirements.

1. Networking interface

2. System design

3. Database design

More Read

When Performance Metrics Attack: Complete, Agile BI Requires Going Beyond Just the Numbers
Data Quality: The Reality Show?
Speeding Past Milestones
My “all-time” most-read 5 articles
How to Boost Service, Cut Costs and Deliver Great Customer Experiences – Even in an Economic Downturn

4. Business needs

And much more…

How often will a business analyst look at data quality requirements?

It is a missing. Period!

Rarely will you see a heading in your Business and System Requirements documentation for Data Quality. The business has such a hard time understanding what Data Quality actually means that they ignore the subject. This is not the fault of the business analyst, but often an oversight from the beginning of project conception. Quite often the reason for the oversight is the business’s inability to quantify the benefits of data quality and the actions needed to prevent bad data…

Business Analysts look at all kinds of requirements.

1. Networking interface

2. System design

3. Database design

4. Business needs

And much more…

How often will a business analyst look at data quality requirements?

It is a missing. Period!

Rarely will you see a heading in your Business and System Requirements documentation for Data Quality. The business has such a hard time understanding what Data Quality actually means that they ignore the subject. This is not the fault of the business analyst, but often an oversight from the beginning of project conception. Quite often the reason for the oversight is the business’s inability to quantify the benefits of data quality and the actions needed to prevent bad data.

I don’t want to harp on the business, but let’s face it, it is the rare mandate in any IT project to ensure data quality, or even to provide data quality action items. It is often left to the support analysts at the end of the day to step in and engage the business to address these issues. Unless the IT project has a data steward to engage, then it is very unlikely that data quality will become an important issue.

Not too long ago, I did a search on a well-known career search engine to find out how often data quality is seen as a requirement or function of the Business Analyst role. My results were disappointing. Only 19 positions with the term Business Analyst in the position name held the term “data quality” in its content. That translates into less than 5% of the postings that contained the term business analyst. Now I didn’t go and look for data integrity, or MDM. It is what it is, a search done out of curiosity with not too much in depth data mining… eh, I had kids to put to bed!

Out of curiosity, closer to the day, a free form search on “data quality” and “business analyst.” My results: 25% of business analyst type postings contained data quality in the body of their content.

Needless to say data quality is still a bit off the radar for many companies when it comes to defining the role of a business analyst.

With that said, the aspect of including data quality in the role of a business analyst is there, but to what degree remains relatively unanswered. So to those business analysts and business analysts wannabes… remember Data Quality in your requirements, it’s just good business.

Data Quality must be inseparable from the data. Good data quality at the requirements stage will positively impact:

1. Project success

2. Data Integrity

3. Efficient and effective support

4. Sound decision making

5. Reduce business costs from errors and corrective actions

6. Project longevity (something any good BA wants).

So if the business is not interested in Data Quality, make it your interest. It won’t hurt, and the business will love you for it!

TAGGED:business analystsdata quality
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

cloud dataops for metering
Taming the IoT Firehose: How Utilities Are Scaling Cloud DataOps for Smart Metering
Cloud Computing Exclusive Internet of Things IT
ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic
data=driven approach
Turning Dead Zones Into Data-Driven Opportunities In Retail Spaces
Big Data Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Big data mistakes to avoid
Big Data

6 Big Data Mistakes You Must Avoid At All Costs

8 Min Read

Are Some BI Vendors too Quiet?

4 Min Read

#21: Here’s a thought…

7 Min Read

MDM Can Challenge Traditional Development Paradigms

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?