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
    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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Quality Gap: Why Being On-Time Isn’t Enough
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > The Quality Gap: Why Being On-Time Isn’t Enough
Uncategorized

The Quality Gap: Why Being On-Time Isn’t Enough

JillDyche
JillDyche
6 Min Read
SHARE

In which Jill advocates behavior changes, starting at the top. But not for you. No, you’re fine. Just for other people.

The biggest problem in business today is that everything is date-driven and not quality-driven.

There, I’ve said it. And a few dozen of my past and current clients are now sidling up to their laptops to shoot me an e-mail asking me if this blog is about them. (The answer is Yes It Is And You Know Who You Are.) Seriously, this is a problem everywhere, yet despite the wholesale crises it precipitates it’s actually getting worse.The root cause of this problem is the old bugaboo of perception. “Progress” is usually measured by speed-of-delivery, not fitness-for-purpose or conformance to requirements or streamlined processes or…


More Read

New Revenue Recognition Rules Require Software
Survey: technology investments boost odds of success
DQ-Tip: “…Go talk with the people using the data”
Little less Green
Web services should be both federated and extensible


In which Jill advocates behavior changes, starting at the top. But not for you. No, you’re fine. Just for other people.

BiggestLoserLogo

The biggest problem in business today is that everything is date-driven and not quality-driven.

There, I’ve said it. And a few dozen of my past and current clients are now sidling up to their laptops to shoot me an e-mail asking me if this blog is about them. (The answer is Yes It Is And You Know Who You Are.) Seriously, this is a problem everywhere, yet despite the wholesale crises it precipitates it’s actually getting worse.The root cause of this problem is the old bugaboo of perception. “Progress” is usually measured by speed-of-delivery, not fitness-for-purpose or conformance to requirements or streamlined processes or any of those other quality maxims. We’ve all heard a variation of the following:

“Just [complete the work] so I can get it into my status report for this [week/month/year].”

So that project manager’s boss is now satisfied that the team is getting things done instead of abusing flex time or work-from-home policies. Meantime the campaign went to a saturated segment. Product prices no longer match across divisions. Account managers are confused about territory assignments and are cannibalizing sales. And the Feds have just left a message for your CFO.

You have to name it to claim it. (I learned this from watching The Biggest Loser the other night.) So herewith, the five main reasons for this phenomenon:

1: The measurement conversation isn’t baked into project initiation. In our BI, MDM, and data governance projects we make sure that this is part of the requirements phase. But practitioners aren’t the only people who need to have this conversation. Business executives and managers should be proactive about their quality criteria during ideation or (at the latest) in the business case. This not only elucidates delivery steps, it makes scoping so much easier.

2: The “effort delusion”, that anachronistic WASP-y assumption that many people working hard will yield positive results. There’s a monkeys-on-an-island analogy here that I’ll refrain from making. But as many before me have aptly observed working hard simply isn’t enough.

3: No one closes the loop. Imagine how many companies have invested in quality programs, data quality automation, business analysis skills, TQM and SixSigma training and other improvements yet continue to fail to reconcile the project’s original objectives from its delivered outcome. Instead, projects endure scope creep or are delivered as a shadow of their original vision. Closing the loop between original vision and ultimate deliverable is a learned and practiced behavior. Instead, mediocre projects drive a flurry of fix-and-maintain activities that would have been unnecessary had they been delivered right the first time, and ultimately far more costly.

4: Failure to define realistic delivery increments. This is Project Management 101. Or is it? The problem here is that the people doing the scoping are often not those on the hook to deliver the goods. I’ve seen project managers idling in the doorways asking programmers to rattle off their tasks, then randomly assigning time-to-completion. It doesn’t work that way. Or it shouldn’t.

5: The economic climate has made people paranoid. There, I’ve said it. And a few dozen of my past and current clients…oh, nevermind. You’ve seen it yourself. People go into delivery hyperdrive and start producing at all costs. (“Just load the data into the database—we’ll worry about whether it’s usable later.”) Worse, they cover their collective asses while spinning stories of their productivity, backing into post-facto project plans and pointing fingers when people ask questions.

Maybe if we understand the root causes, we can fix the problem. (Thanks for that one too, Bob and Jillian!)  Or maybe we’ll just stay on the couch and keep chomping away, occasionally groping for the remote control so we can get something different just by pressing a button.

Link to original post

TAGGED:data quality
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Diverse Research Datasets
The 5 Best Platforms Offering the Most Diverse Research Datasets in 2026
Big Data Exclusive
macro intelligence and ai
How Permutable AI is Advancing Macro Intelligence for Complex Global Markets
Artificial Intelligence Exclusive
warehouse accidents
Data Analytics and the Future of Warehouse Safety
Analytics Commentary Exclusive
stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Pooh, Data Analyst

5 Min Read

#10: Here’s a thought…

8 Min Read

10th Annual ECCMA Conference (ISO 8000 Data Quality Conference)

5 Min Read

Don’t Sweat the Small Stuff, Except in Data Quality

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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?