In spite of how far we’ve come and how elegant and powerful much of our information technology really is, and in spite of bear market prices, I must admit that we still spend too much money on business technology — way too much. Let’s look at what’s going on — and how we might get more bang for the buck.
Way Too Pricey
Let’s start with some grim news. According to recent benchmarking research:
How the hell can we waste so much cash?
Hype, Misalignment & Bad Biz/IT Management
Unfortunately, hype still too often degrades to disenchantment. Let’s look at a short list of over-hyped “killer apps”: enterprise resource planning (ERP), network and systems management, eBusiness, sales force automation, and the most recent disappointment, customer relationship management (CRM).(3)
Do you know what these applications cost — and what impact they’ve had on your business? Questions about technology’s contribution to business ride on answers to questions about business’ clarity about technology’s enabling role. While we’ve had problems, this stuff can work — especially if it’s matched with the right business requirements. But when the match is wrong, technology investments become insatiable sink holes.
Most technology investment decisions are made with less than perfect information. More often than not, there are as many intangible variables as tangible ones. Keep in mind that the Gartner Group (and other research organizations) report that more than 75% of all major technology projects fail.
The numbers are staggering. So how is it that we still invest more than a trillion dollars a year in technology products and services when so much of it doesn’t work? One answer is that investment criteria were relaxed or non-existent during the mid- and late-1990s: How many companies really scrubbed their eBusiness investments? But as I’ve said repeatedly, even though lots of technology is mis-applied or out-and-out wasted, we’re at a point where it’s possible to not only avoid major mistakes but integrate technology and business in ways that were impossible five years ago.
IT/Biz Alignment Archives |
Does Any of This Sound Familiar?
The Golden Rule Of Business Technology Investments Improving Biz/IT Convergence: An Action Plan |
Depending on your title, you see technology differently. Some see it as the aforementioned sink hole; others as a way to differentiate your company from its competitors, your edge. Some see it as a sand box. Others see it as a necessary evil. If you’re a chief marketing officer you should probably understand how software vendors “manage” versions to optimize their revenue streams (just as you do with your products and services). But if you’re a CFO you may not fully understand how middleware works or why it’s so important to your company, or how consultants identify problems that only they can solve. Are you surprised when it takes several years to install an application? Or when you hear about outsourcing lawsuits? All of these alternative views of technology are expensive to maintain.
I’d argue that our understanding of technology is unfinished. We’ve been conditioned to think about technology as a silo — and we’ve managed it accordingly. Most companies still have “systems divisions” or “technology groups,” when they should do whatever they can do tear the silos down and rebuild integrated business technology organizations and processes.
We’re evolving — not revolutionizing — the relationship between business and technology. We don’t do nearly enough due diligence around technology investments, don’t know how to measure ROI, and still make major technology decisions on the basis of incomplete and highly politicized information, and for some reason still resist the development of clear business models.
One-Third Off?
I sometimes tell my consulting clients that I can reduce their technology budgets by 33%. After they regain consciousness, I explain how it’s possible. There’s so much low-hanging fruit, I tell them; for example: you’ve got several — or more — database platforms (with too many platforms and data warehouses that you have to maintain), too many data centers (that can be consolidated), little or no standards (and therefore lots of expensive variation), poor human resource management (resulting in too many people doing the wrong things), sub-optimal vendor management (resulting in too many uncoordinated procurements) and incomplete metrics (making it difficult if not impossible to know where you are — or where you’re going). At this point, they usually nod. I tell them that they shouldn’t feel too bad, that I can’t even make a dent in the second 33%.
_______________________________________________________________
Notes
1. See “The Book of Numbers,” Hackett Benchmarking | Solutions, 2000 (www.answerthink.com/hackettfor more details).
2. See www.gartner.comfor the report on server over-spending.
3. There’s a lot of “evidence” about these “disappointments.” The Gartner Group publishes lots of total-cost-of-ownership (TCO) and return-on-investment (ROI) analyses, as does The Standish Group which both generally report that we often pay more than we should for hardware, software and services. The National Institute of Standards & Technology published a report that software bugs cost users and vendors almost $60B annually. The Nestle vs. SAP case is widely known (see Ben Worthen’s Nestle’s ERP Odyssey, CIO Magazine, May 15, 2002), as are other failed enterprise projects (see Kim Girard’s report on the Department 56 vs. Arthur Andersen – “Blame Game,” Baseline Magazine, March 2002). Litigation sometimes results from implementation problems. See PricewaterhouseCoopers’ “Patterns in IT Litigation: Systems Failure (1976-2000).” Also see Meredith Levinson’s, “Let’s Stop Wasting $78 Billion a Year,” CIO Magazine, Oct. 15, 2001, and Charles C. Mann’s, “Why Software is So Bad,” Technology Review, July/August 2002. Paul Strassmann’s work is relevant here. See www.strassmann.comfor tons of insight and data. While there are any number of horror stories out there, there are also some huge success stories, not to mention the everyday success of word processors, presentation packages, data bases and email. Finally, regarding CRM, see Michelle Schneider’s, “CRM: What It’s Worth,” The Net Economy, Feb. 5, 2001, and Rich Cirillo and Dana Silverstein’s, “Can CRM Be Saved?,” VARBusiness, Feb. 4, 2002.
Steve Andriole is the Thomas G. Labrecque Professor of Business at Villanova University where he conducts applied research in business/technology convergence. He is also the founder and CTO of TechVestCo, a new-economy consortium that focuses on optimizing investments in information technology. He can be reached at stephen.andriole@villanova.edu.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.