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The New
Patterns of
Innovation
This presentation is based on an
article by Rashik Parmar, Ian
Mackenzie, David Cohn and David
Gann
To tackle this we must first think…
How can we create
valuable solutions for
customers using data
analytics tools we own?
Let us
explore a
few
patterns
that occur
in
businesses
PATTERN 1: AUGMENTING DATA
• It’s now feasible
to gather and
crunch
enormous
amounts of
data in a variety
of contexts
PATTERN 2: DIGITIZING ASSETS
• As mobile
technologies continue
to fuel this trend,
more creative
businesses are tapping
into it and generating
their own enhanced
services or new
business models
• The management of digitization itself could be
a new business. Many industries need a long-
term, secure way to store their digital assets.
Pattern 3: Combining Data Within and
Across Industries
• The science of big data,
along with new IT
standards that allow
enhanced data
integration, makes it
possible to coordinate
information across
industries or sectors in
new ways.
PATTERN 4: TRADING DATA
• The ability to
combine disparate
data sets allows
companies to
develop a variety
of new offerings
for adjacent
businesses
PATTERN 5: CODIFYING A DISTINCTIVE
SERVICE CAPABILITY
• companies have a
practical way to
take the processes
they’ve perfected,
standardize them,
and sell them to
other parties
LETS GET STARTED!
1. Augmenting Products
Which of the data relate to our products and their
use?
Which do we now keep and which could we start
keeping?
What insights could be developed from the data?
How could those insights provide new value to us,
our customers, our suppliers, our competitors, or
players in another industry?
2. Digitizing Assets
Which of our assets are either wholly or
essentially digital?
How can we use their digital nature to improve
or augment their value?
Do we have physical assets that could be
turned into digital assets?
3. Combining data
How might our data be combined with data
held by others to create new value?
Could we act as the catalyst for value creation
by integrating data held by other players?
Who would benefit from this integration and
what business model would make it attractive
to us and our collaborators?
4. Trading Data
How could our data be structured and analyzed
to yield higher-value information?
Is there value in this data to us internally, to
our current customers, to potential new
customers, or to another industry?
5. Codifying a Capability
Do we possess a distinctive capability that
others would value?
Is there a way to standardize this
capability so that it could be broadly
useful?
Who in our industry or other industries
would find this attractive?

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NEW PATTERNS IN INNOVATION

  • 2. This presentation is based on an article by Rashik Parmar, Ian Mackenzie, David Cohn and David Gann
  • 3.
  • 4. To tackle this we must first think… How can we create valuable solutions for customers using data analytics tools we own?
  • 6. PATTERN 1: AUGMENTING DATA • It’s now feasible to gather and crunch enormous amounts of data in a variety of contexts
  • 7. PATTERN 2: DIGITIZING ASSETS • As mobile technologies continue to fuel this trend, more creative businesses are tapping into it and generating their own enhanced services or new business models
  • 8. • The management of digitization itself could be a new business. Many industries need a long- term, secure way to store their digital assets.
  • 9. Pattern 3: Combining Data Within and Across Industries • The science of big data, along with new IT standards that allow enhanced data integration, makes it possible to coordinate information across industries or sectors in new ways.
  • 10. PATTERN 4: TRADING DATA • The ability to combine disparate data sets allows companies to develop a variety of new offerings for adjacent businesses
  • 11. PATTERN 5: CODIFYING A DISTINCTIVE SERVICE CAPABILITY • companies have a practical way to take the processes they’ve perfected, standardize them, and sell them to other parties
  • 13. 1. Augmenting Products Which of the data relate to our products and their use? Which do we now keep and which could we start keeping? What insights could be developed from the data? How could those insights provide new value to us, our customers, our suppliers, our competitors, or players in another industry?
  • 14. 2. Digitizing Assets Which of our assets are either wholly or essentially digital? How can we use their digital nature to improve or augment their value? Do we have physical assets that could be turned into digital assets?
  • 15. 3. Combining data How might our data be combined with data held by others to create new value? Could we act as the catalyst for value creation by integrating data held by other players? Who would benefit from this integration and what business model would make it attractive to us and our collaborators?
  • 16. 4. Trading Data How could our data be structured and analyzed to yield higher-value information? Is there value in this data to us internally, to our current customers, to potential new customers, or to another industry?
  • 17. 5. Codifying a Capability Do we possess a distinctive capability that others would value? Is there a way to standardize this capability so that it could be broadly useful? Who in our industry or other industries would find this attractive?