6 Laws of Digital Transformation
(psst.... it's not a secret & this is why you work with us)

• Law #1: It’s About Business Models, Not Just the Business. Digital Transformation is about innovating business models, not just optimizing business processes. Using our matchmaking platform, we provide community based, high trust clients.

• Law #2: It’s About Eliminating Barriers Associated with Time and Distance. Digital Transformation is about coupling digital technologies with digital assets in order to eliminate time and distance barriers in your business model, generating meaningful leads to grow your business.

• Law #3: It’s About Creating New Digital Assets. Digital Transformation is about creating new digital assets (data, analytics, and insights about customers, product, operations and markets).

• Law #4: It’s About Predictive Intelligence. Digital Transformation is about predicting what’s likely to happen, prescribing actions and learning from the results faster than your rivals.  Constant contact with our clients provides a deeper trust.

• Law #5: It’s About Creating More Compelling, Differentiated Customer Experience. Digital Transformation is about the creation of “intelligent” applications that not only deliver a more compelling user experience, but learn from each user engagement to become more relevant.

 

• Law #6: It’s About Monetizing the Pain.  Digital Transformation is about identifying, quantifying and eliminating the inhibitors to customer and market value creation.  Further, it is ensuring your budget is optimized.

To be successful, organizations must master a couple of key digital transformation tenets:
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• Tenet #1: Identifying Sources of Customer and Market Value Creation. Organizations need to combine customer journey mapping and digital economics to create an “outside-in” approach that identifies, validates, values and prioritizes the sources of customer and market value creation regardless of artificially-defined industry boundaries.

 

• Tenet #2: Optimizing Internal Engines of Value Capture. Organizations need to combine Michael Porter’s Value Chain Analysis, big data and data science to create an “inside-out” approach that identifies and prioritizes the internal digital capabilities necessary to capture these sources of customer and market value creation.  Areas of expertise lie in viewable ads without bot fraud and other dangers to your digital ad budget.

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Value Chain Analysis

Business Case:  Going out to eat