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
    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
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The High Cost of Low Quality IT
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Hardware > The High Cost of Low Quality IT
CommentaryExclusiveHardwareITNew ProductsRisk ManagementSoftware

The High Cost of Low Quality IT

paulbarsch
paulbarsch
5 Min Read
Image
SHARE

Image

 

Image

 

More Read

workers compensation data
Workers’ Compensation Platform Uses Big Data For Better Outcomes
AI Can Amplify Benefits and Temper Risks of Bitcoin Investing
Big Data Solves Website Loading Issues For Foreign Traffic
Harnessing the Power of Analytics For Direct-to-Consumer Businesses
AI Accelerates Growth of Bitcoin Mining in the United Kingdom

In times of tight corporate budgets, everyone wants “a deal.” But there is often a price to be paid for low quality, especially when IT and purchasing managers aren’t comparing apples to apples in terms of technology capability or experienced implementation personnel.  Indeed, focusing on the lowest “negotiated price” is a recipe for vendor and customer re-work, delayed projects, cost overruns and irrecoverable business value.

Financial Times columnist Michael Skapinker recently lamented about the terrible quality of his dress shirts.  In years prior, his shirts would last two to three years. However, as of late, his shirts –laundered once a week—now only last three months. 

Of course, this equates to a terrible hit to Mr. Skapinker’s clothing budget, not to mention environmental costs in producing, packaging, and discarding sub-standard clothing.  Consumers, Skapinker says, should “start searching out companies that sell more durable clothes. They may cost more, but should prove less expensive in the long run.”

Much like it’s short sighted to buy low quality shirts that don’t last very long, it’s also very tempting to select the low cost provider for technology or implementation, especially if they meet today’s immediate needs. The mindset then is that tomorrow can worry about itself.

This myopic thinking is exacerbated by the rise of the procurement office.  Today’s procurement offices are highly motivated by cost control. In fact, some are goaled to keep costs down. This of course, can be dangerous because in this model procurement professionals have little to no “skin in the game”. Meaning, if something goes wrong with the IT implementation, procurement has little to no exposure to the damage.

Now to be fair, some procurement offices are more strategic and are involved in IT lifecycle processes. From requirements, to request for proposal, to final sign-off on the deal, procurement is working hand-in-hand with IT the entire time.  In this model, the procurement department (and IT) wants the best price of course, but they’re also looking for the best long-term value. However, the cost conscious procurement department seems to be gaining momentum, especially in this era of skimpy corporate budgets.

Ultimately, technology purchases and implementations aren’t like buying widgets. A half-baked solution full of “second choice” technologies may end up being unusable to end-users, especially over a prolonged period of time. And cut-rate implementations that are seriously delayed or over-budget can translate into lost revenues, and/or delayed time to market. 

When evaluating information technology (especially for new solutions), make sure to compare specs to specs, technical capabilities to capabilities, and implementation expertise to expertise. 

Some questions to consider: Is there a 1:1 match in each vendor’s technologies? Will the technical solution implemented today scale for business user needs next year or in three years? What does the technology support model look like, and what are initial versus long term costs? Is the actual vendor supporting the product or have they outsourced support to a third party?

For the implementation vendor make sure to evaluate personnel, service experience, customer references, methodologies, and overall capabilities. Also be wary of low service prices as some vendors are able to arrive at cut rates by dumping a school bus of college graduates on your project (which of course then learn on your dime!). The more complex your project, the more you should be concerned with hiring experienced service companies.

A discounted price may initially look like a bargain. But there’s a cost to quality. If you’re sold on a particular (higher priced) technology or implementation vendor don’t let procurement talk you out of it. And if you cannot answer the questions listed above with confidence, it’s likely that the bargain price you’re offered by technology or implementation vendor X is really no bargain at all.

TAGGED:risky business
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Image
Big DataCloud ComputingCommentaryExclusiveHardwareITRisk ManagementSoftware

CAPEX Deferred Eventually Makes the Company Sick

4 Min Read
Image
Cloud ComputingCommentaryExclusiveHardwareIT

When is CAPEX Coming Back?

4 Min Read
Image
CommentaryCulture/LeadershipExclusiveRisk ManagementStatistics

Problems with the Language of Probability

5 Min Read
Image
AnalyticsCollaborative DataCommentaryData QualityExclusiveModelingPolicy and GovernanceStatisticsTransparency

When Ideology Reigns Over Data

6 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?