The document discusses trends driving the need for intelligence 2.0 in business, which focuses on asymmetric interpretation in an era of information abundance. It emphasizes engaging all employees as virtual members of an intelligence team to help anticipate industry changes, signals of change, strategic choices that influence success, and the likely outcomes of competitive battles through better sensing and prediction. Five simple rules are outlined to turn the workforce into a force for engagement: ensuring against risk to the core business, ruthless efficiency, understanding customers beyond current input, broad outlook beyond traditional segmentation, and regular novelty testing with early failure.
SCIP & PDMA 20090917 Milwaukee - Intelligence 2.0: A Worldview For Anticipating Industry Change
1. Intelligence 2.0 Exploiting Growth Opportunities & Anticipating Industry Change in the Era of Asymmetric Interpretation Arik Johnson Founder & Chairman Aurora WDC
2. Companies, Customers, Industries & Markets Are Complex Interdependencies Intelligence is About Seeing Through Illusions that Mislead Decisions
10. Traditional CI Follows a Disciplined Process for Information Collection and Analysis Deliver, Inform & Recommend Planning & Direction Secondary Research Analysis & Production Primary Research Tactical Users & Strategic Decision Makers Needs The Traditional CI Cycle
16. Intelligence 2.0 Continuum Includes Both Decisive & Incisive Sensing Incisive Scanning for Trends, there is no “Decision” to be made Framework for Interpretation Recognize “Pattern Vector” History Implications for the Reader Bottom-Up Exposition Driven by Trends Outcome is Often Observation Itself Emergent & Theoretical Decisive Frame of Reference is the Decision, Less Trend-Dependent Framework for Information Compares Options & Outcomes Recommendations and Trust Top-Down Imposition Driven by Issues Decision & Action vs. ‘Nariyuki’ Factual & Hypothetical
20. “ Competing head-to-head can be cutthroat especially when markets are flat or growing slowly. Managers caught in this kind of competition almost universally say they dislike it and wish they could find a better alternative. They often know instinctively that innovation is the only way they can break free from the pack. But they simply don’t know where to begin. Admonitions to develop more creative strategies or to think outside of the box are rarely accompanied by practical advice.” Chan Kim and Renee Mauborgne
21. Most Attempts at Innovation Fail But by integrating three types of insights - customer needs, competitive patterns, and a company's own capabilities - and combining them with solid protocols, innovation becomes a routine competence and companies can double or triple their success rates. And the really big hits are often the products that innovate in not one but two or three or more "innovation spaces."
22. Process of Predicting Industry Change Signals of Change Strategic Choices Influencing Success Likely Outcome of Competitive Battles
24. Customers “Hire” Products to Do “Jobs” for Them Concentrate Less on What Customers “Want” and More on What Customers “Need”
25. RPV Theory: Building Capabilities Processes Ways to Turn Resources into Products/Services Hiring/Training Product Dev. Manufacturing Budgeting Research Values Prioritization Criteria for Decision-Making Cost Structure Income Statement Customer Demand Opp. Size Ethics Resources Assets the Firm can Buy or Sell, Build or Destroy People Technology Products Equipment Cash/Brand/Distr.
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27. Disruptive Innovation Theory Sustaining Innovations Better Products Brought to Established Markets Low-End Disruptions Target Overshot Customers with a Lower Cost Business Model New-Market Disruption Compete Against Nonconsumption Difference Performance Measure Time Nonconsumers or Nonconsuming Contexts Performance
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31. RISK Ensuring against risk to the core business is critical to making sure there is time for investments in new growth to start paying off. Maintaining a positive status quo by protecting the core is the chief role for managers in every business, with one caveat: good businesses can often be the foremost enemy of great businesses. Cannibalization of current market share should not exclude innovative ideas.
32. EFFICIENCY The ruthless cutting away of unnecessary costs in the value chain is essential for a new market innovation strategy to work. Create or build up that which is not yet good enough and diminish or destroy that which is unnecessary. Most of the unnecessary elements in the incumbent value chain have long-since outlived their usefulness or were never very important to customers in the first place .
33. CUSTOMERS Companies become too dependent on their best customers’ input for signals about how they should innovate. New forms of competition usually present themselves at the current consumption market. The day your customers begin complaining about how complicated or expensive or difficult your product is, you should ask, “why was it good enough for them yesterday” and who has offered an alternative?
34. OUTLOOK Traditional market segmentation based on demographic, geographic or sociographic data are fleeting at best and illusory at worst and many decisions have been based on flawed definitions of the fastest growing markets. Defining the market by the “jobs” non-customers wish to accomplish is more helpful in defining fast growing target markets. Focus groups are often the worst mechanism of new market testing.
35. NOVELTY Differentiation is mandatory for all organizations to master, and new market or “novel” solutions to customer problems are often ecosystems of providers working together to produce sought-after value. Companies must build a business model designed to test breakthroughs in the market more regularly. But the firm must also kill off those ideas that do not work early on, so support and development resources can be allocated to those that do. Fail often, fail fast.
36. Intelligence 2.0 is About Engagement & Sensing to Predict Industry Change Signals of Change Strategic Choices Influencing Success Likely Outcome of Competitive Battles
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Notas del editor
A classic example of a well-executed defensive block using Competitive Intelligence was that of Johnson & Johnson when Bristol-Meyers decided to launch Datril to compete directly with Johnson & Johnson's successful Tylenol brand. Datril was to be priced 35% lower than Tylenol.Johnson & Johnson learned of Datril before its launch, and informed Bristol-Meyers that it was cutting the price of Tylenol to match that of Datril. Johnson & Johnson even extended credits to its distribution channels to make the price cut effective immediately. This move was intended to prevent Bristol-Meyers from advertising Datril as a lower-priced alternative to Tylenol. However, Bristol-Meyers responded by accelerating the launch of the television advertising campaign. Finally, Johnson & Johnson countered by convincing the television networks not to run the Datril ads since they no longer could truthfully claim that Datril was priced lower than Tylenol. Johnson & Johnson's efforts were successful and Datril achieved less than a 1% market share. Tylenol sales soared on the publicity and lower prices.