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Intelligent Enterprise

Editor's Note: Take a look at our featured best practice, Pathways to Data Monetization (27-slide PowerPoint presentation). We are living in the Age of Data. Every company operating today is essentially a data company. However, only 1 inf 12 are monetizing data to its full extent. For organizations to achieve Data Monetization, there are 2 pathways they can take--one with an internal focus and the other with an [read more]

Also, if you are interested in becoming an expert on Digital Transformation, take a look at Flevy's Digital Transformation Frameworks offering here. This is a curated collection of best practice frameworks based on the thought leadership of leading consulting firms, academics, and recognized subject matter experts. By learning and applying these concepts, you can you stay ahead of the curve. Full details here.

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In order to contest and survive in this competitive business environment, organizations need to work towards developing a Differential Advantage that others cannot imitate.

Organizations, generally, draw Differential Advantage from price reduction, proprietary intellectual property, key talent, or visionary leadership.  However, in this age of disruption and knowledge economy, a shared capability to reach evidence-based, rational choices and decisions is required to create and maintain a sustainable Competitive Advantage.

Creating an Intelligent Enterprise, able to make smart decisions, depends on 2 key factors.

  • The increasing power of computers and Big Data, which enables operations research, forecasting models, and Artificial Intelligence (AI).
  • The growing comprehension of human judgment, reasoning, and decision making. Years of research has revealed a wealth of information about what humans do well and where they lack.

To be an Intelligent Enterprise, executives need to have a sound understanding of human decision making and evolving technological capabilities to produce superior judgments.  Management needs to develop strong capabilities in combining the 2 key factors—human intelligence with data and technology—to make informed choices.

Incorporation of computing capability (hard side) with human judgment (soft side) isn’t simple—but once done properly this can be a game changer for an organization.  A number of organizations are already developing smart Decision Making and superior judgmental capabilities by utilizing Big Data and Predictive Analytics.  Intelligent Enterprises leverage 5 strategic opportunities to outsmart their competition:

  1. Be Strategic
  2. Conduct Prediction Tournaments
  3. Model Expert Employees
  4. Run Artificial Intelligence Experiments
  5. Transform the Organizational Operating Model

Let’s now discuss the strategic opportunities in detail.

Be Strategic

The 1st opportunity entails doing a thorough analysis into previous organizational forecasting models and pinpoint areas where improving subjective predictions can make a positive impact and pay the highest dividends.  This analysis into the forecasting models assists in prioritizing the problems to be tackled.  Ideally, the top problems to solve should be where hard data and soft decision-making skills can be effectively integrated.

Management is often unaware of the faults of the guesses their analysts make.  Leadership should be asked to provide a detailed defense of their opinions and review the results of their choices and fundamental assumptions.  The key is to avoid psychological biases and unjustified assumptions.

Conduct Prediction Tournaments

The 2nd strategic opportunity demands identifying the ideal forecasting methods by encouraging competition, Experimentation, and Innovation among teams.  To create superior forecasts, leadership may use Prediction Tournaments to discover the teams and methodologies that produce the soundest decisions.  Prediction tournaments encourage teams to assess the probabilities likely to happen and evaluate the predictions that proved correct afterwards.  The organizers of Prediction Tournaments come up with relevant questions and draw participants to provide answers.  Teams are urged to ignore biases and conduct Experimentation to boost the accuracy of their forecasts.

Empirical research and years of trial and error in Data Mining and Analysis indicate 4 factors to be critical in developing and improving the forecasting skill in teams:

  • Ascertaining the characteristics of reliably superior forecasters.

Interested in learning more about the other critical factors and strategic opportunities that Intelligent Enterprise utilize to outsmart their competition?  You can download an editable PowerPoint on Intelligent Enterprise here on the Flevy documents marketplace.

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23-slide PowerPoint presentation
Data Monetization is the effective use of data to achieve positive and measurable impact on business revenue. In McKinsey’s Global Survey on Data and Analytics, it was found that 70% of executives reported that Data and Analytics have made changes in our industries’ competitive [read more]

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Digital Transformation is being embraced by organizations of all sizes across most industries. In the Digital Age today, technology creates new opportunities and fundamentally transforms businesses in all aspects—operations, business models, strategies. It not only enables the business, but also drives its growth and can be a source of Competitive Advantage.

For many industries, COVID-19 has accelerated the timeline for Digital Transformation Programs by multiple years. Digital Transformation has become a necessity. Now, to survive in the Low Touch Economy—characterized by social distancing and a minimization of in-person activities—organizations must go digital. This includes offering digital solutions for both employees (e.g. Remote Work, Virtual Teams, Enterprise Cloud, etc.) and customers (e.g. E-commerce, Social Media, Mobile Apps, etc.).

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About Mark Bridges

Mark Bridges is a Senior Director of Strategy at Flevy. Flevy is your go-to resource for best practices in business management, covering management topics from Strategic Planning to Operational Excellence to Digital Transformation (view full list here). Learn how the Fortune 100 and global consulting firms do it. Improve the growth and efficiency of your organization by leveraging Flevy's library of best practice methodologies and templates. Prior to Flevy, Mark worked as an Associate at McKinsey & Co. and holds an MBA from the Booth School of Business at the University of Chicago. You can connect with Mark on LinkedIn here.

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