Let’s say it clearly: If a company doesn’t understand its competitive advantages and its current and future business models, it’s doomed. Not only will it fail in the marketplace, but also it will waste tons of cash on technology along the way.
So what business are you in?
If the strategists in your company have difficulty answering this question, then you’re in deep trouble–especially if you’re a technology manager expected to make decisions about what to buy, build, in-source, or outsource.
Scenario planning can help reduce uncertainty about the future. Because it can bring business goals and objectives into focus, IT should be intimately involved to produce a better alignment of business and IT resources.
For the uninitiated, scenario planning is a methodology that, when successfully implemented, produces a range of possibilities surrounding future events. The possibilities are defined around some specific parameters, such as the amount of government regulation, the penetration of the Internet, and the depth of business-to-business transaction processing. The objective of scenario planning is not an elegant document suitable for publication in the Harvard Business Review, but a vehicle for provoking thought.
Environmental Trends Analysis
To get started, you need to monitor the trends that pertain to your industry on a regular basis, including social, political, workplace, work habit, regulation/de-regulation, national and global economic, and macro technology trends.
Competitor Analyses
Next, you need to monitor and report on known and anticipated competitors. The good news here is that people love to read stuff about the competition. This is because we benchmark and validate our behavior against our competitors. The huge danger is that if the competition you’re tracking only exhibits a linear extrapolation from your current business models — and that’s all you track — you’re likely to miss the out-of-the-box, unconventional competitors that can do serious damage to your market share.
Current Business Profiles
You should also profile competitor business models and processes–as well as your own–at least annually, including details about the products and services they offer, their channel strategies, and their market niches.
Potential Business Profiles
Based on all of the above–the environmental scan, competitor analyses, and existing business models–you should be able to define future models and processes. This is the essence of the scenario generation process. The key here is to simultaneously extrapolate from current trends and leapfrog current models into whole new business arenas. What, for example, will be the new model for customer service? What will your sales and marketing strategies have to look like? How will you cross-sell on- and off-line?
Confidence & Risk Analysis
During the scenario planning process, a key question you have to answer is this: Do you have the expertise in-house to think creatively and objectively about future business? If you do, then beg, borrow or steal their time; if not, hire some industry gurus with deep industry knowledge and empower them to speak candidly. Once you’ve corralled them get them to validate each other’s insights.
Prioritization Analyses
After you’ve modeled the future, prioritize the processes, products, and services that will keep you competitive. Keep the list short: a 20-item to-do list will always yield 15 orphans.
Technology Requirements
Then convert the prioritized processes, products, and services into high-level technology requirements with specific references to communications, applications, data, security, standards, and people investments you’ll need to make. You should also make a list of services that might be in-sourced, co-sourced, or outsourced. And, yes, you should begin to price out the big-ticket items, such as a communications infrastructure upgrade or an enterprise applications migration.
Reality Checks
You will also need to create a “devil’s advocate” process run by some tough critics of all this creative thinking. The objective here is to subject the new business models and processes to a serious reality-check. If you can’t find in-house honest brokers then get some tough consultants in to scrub the scenarios.
That’s enough about the substance of the process. Let’s turn to the politics. To build influential scenarios, you’ll need the following:
These are minimum prerequisites to success. If one or more is missing, you’re toast.
Good luck!
Next month we’ll look at communications.//
Steve Andriole is the founder & CTO of TechVestCo, a new economy consortium that focuses on optimizing investments in information technology. He is formerly the Senior Vice President & Chief Technology Officer of Safeguard Scientifics, Inc. and the Chief Technology Officer and Senior Vice President for Technology Strategy at CIGNA Corporation. His career began at the Defense Advanced Research Projects Agency where he was the Director of Cybernetics Technology. He can be reached at steve@techvestco.com.
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 2020
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
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 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.