The Innovation Index for Hadoop analyses market attractiveness, business model maturity and infrastructure impact on Big Data. It intends to provide strategic recommendations as collected, analyses and shared on We Are Innovation networks of 1,200+ innovators.

1. Innovation Index
Hadoop:The turning point
http://weareinnovation.org

2. Innovation Index
Content:
Introduction
I. Market Attractiveness Hadoop: On the rise, but how high ?
a. Hard Facts Analysis: Hadoop between fiction and reality
b. Key Market Trends Impact: When Big Data misses Big Data
c. Semantic Analysis: The power of enthusiasm
II. Business Model Maturity: Hadoop: finding the right balance
a. End-to-end model Analysis: off the ground.
b. Strategic initiatives impact : data on the table.
c. The Business Case : all in ?
III. Infrastructure and Support: Hadoop: Structuring the future
a. Technical readiness to market: Hybrid models, risks and opportunities
b. Structural readiness to market: It’s all about integration
c. Legal, Social and Economic impact
Conclusion

3. Innovation Index
Hadoop:The turning point
The Innovation Index analyses the market attractiveness,
business model maturity and infrastructure and support
impact of a given sector or technology. It aims at
analyzing Hadoop market attractiveness through facts,
figures and key words analysis, as collected through WAI
networks. It also evaluates infrastructure and support
impact, and estimate business model maturity to come to
a final index value. To know more, your can watch “The
Internet of Things, of What, Exactly?“, an end-to-end
Innovation Index.

4. Market Attractiveness
Hadoop: On the rise, but how high
http://weareinnovation.org

5. The initial grade reflects the overall uncertainty
related to such a wide topic and market
opportunity for Hadoop, as a core environment for
Big Data. The fact that we hear “fearful” voices
enlightens the earliness of the market, as much as
the “enthusiastic” voice does. There seem to be a
lack of reality understanding, and although this so-
called reality might include a range of risks to
assess, companies and researches tend to push
towards greater development to create Big Data
type of services that would result in higher
benefits. The investment stage whereby
companies, network, platform and application
suppliers position themselves on the value-chain to
sustain a later full roll-out, is well underway, which
rises the initial grade to 2.2.
Hard Facts Analysis
Hadoop: Between fiction and Reality

7. The intermediate grade is lowered due to the lack of
clearer proven market impact understanding of Big Data
and Hadoop, which is mainly due to a careful approach
to new development combined to a raising awareness of
dysfunctions and limits of currently used strategies, tools
and policies, carried unto new platforms. Although with
indirect impact, the economic downturn now globalized
and rise of security threats is preventing the core market
to take ground and generate a first loop of the virtuous
circle needed to spur Big Data. Strategies and
development plans should take into account a tendency to
“think twice” that might delay decision making for
business stakeholders and put emphasis on messages
shared with them which should reinsure and encourage
new visions, new cultures to reach a Big Data and Hadoop
sufficient level of readiness from market. This systemic
lack of belief currently lowers the intermediate grade to
1.7.
Hard Facts Analysis
Hadoop: Between fiction and Reality

9. The final grade is largely supported by an overall shared
enthusiasm about the assumed benefits of Hadoop use in
companies. Although some constraints and reluctancy to
create more systemic challenges, potentially ending,
remain present in the overall conversation, the business
benefits and operational efficiency as presented by
analysts and experts currently offset the “pessimistic”
views. The need for better prevalent models and
contingency plans proving there is a secure model to roll-
out for sustainable growth is at its paradigm, with words
such as “danger” continuing to accompany the “value,
benefits, seamless” positive attributes which make up for
the vast majority of positive terms. The overall enthusiasm
communicated by innovators therefore rises the final
grade to 2.9.
Semantic Analysis
The Power of Enthusiasm

11. Business Model Maturity
Hadoop: Finding the right balance
http://weareinnovation.org

12. The problem of Hadoop supporting big data turns out to
be its own solution. This universe of unknowns long to be
analyzed and synchronized in business analytics
strategies that disrupt beyond the vertical and horizontal
models established so far. As a consequence, most actors
currently positioned in selling and/or developing Hadoop
based services have opted for an open and flexible
strategy to market and supporting business models (open
innovation and partnerships). Although at early stage,
this tends to consolidate and normalize disruption as a
way forward, which leaves a great part of uncertainty but
shows players are addressing it positively. A shift in
mindset ? That may well be. But that’s only a start. The
current maturity of end-to-end business models for
Hadoop is estimated at 2 out of 5.
End-to-end model analysis
Off the ground

14. The intensity of Hadoop related articles is representative
of the numerous initiatives and different approaches for
players to position themselves on the Big Data chess
board. As mentioned above, the key point to bear in mind
is the disruptive impact of Hadoop related activities,
breaking up the value chains and putting usage,
therefore humans, at the center of it. The scale of the
opportunity is also reflected in the depth of the analysis
brought up by specialists. They talk about saving the
world, they talk about ending it. Economists foresee
drastic changes, businesses dream about unlimited
opportunities. This dynamic brings the intermediate
Business Model Maturity rate to 3.5 out of 5.
Strategic Initiatives Impact
Data on the table

16. The business case for Hadoop is supporting the generally
enthusiastic dynamics generated by the technology while
reflecting some uncertainties surrounding business models.
With massive yet segmented investments, businesses and
investors are showing a candid interest in developing
further Hadoop based services. With the rising
opportunity of creating self-developed applications and
services, to be used either or both internally and
externally, a few question marks remain on the actual
opportunity that could be shared on the value chain. The
potential to market is so far too uncertain to bring further
interest, therefore investments, into the play. The Business
Case Impact for Hadoop brings the final Business Model
Maturity rate to 3.3 out of 5.
Business Case Impact
All in ?

18. Infrastructure and Support
Hadoop: Structuring the future
http://weareinnovation.org

19. Analysts seem to agree on the requirements of Big Data
and Hadoop based solutions needed, as much as they
agree on the potential market opportunities and threats.
They question the ability of organizations to support the
roll-out of such solutions given the lack of specialized
resources able to build Hadoop based solutions and the
difficulty they have to adapt to new governance models.
Overall, the initial technical readiness to market for
Hadoop reaches an average 2.5 out of 5.
Technical Readiness to market
Hybrid models, risks and opportunies

21. The radical changes implied by Big Data and Hadoop to
enterprises are such that a complete unlearning and
relearning process needs to take place throughout
organisations. On the governance side, companies need
to redefine their visions and objectives. On the
management side, they need to open the strategic
thinking models. On the operational side, they need to
apply change in the midst of an immature market structure
and business models. The level of challenge brings the
intermediate grade to 2 out of 5.
Structural Readiness to market
It’s all about integration

23. External players supporting Big Data and Hadoop
markets are taking a stance on opportunities. Although
still under definition for the greatest part, the legal
framework is starting to take action and protect end-
users. Analysts ring alarms against the lack of clarity and
common definitions of Big Data consequences (whether
positive or negative). Finally, innovation specialists
highlight the application potential that lays beyond the
many doubts we will surely find innovative answers to.
Still, the overall Infrastructure and Support impact for
Hadoop hits a final grade of 2 out of 5.
Legal, Social and Economics
Shaping a framework

25. Innovation Index
Conclusion
http://weareinnovation.org

26. Hadoop Innovation Index
The Turning Point
Strategies and development plans should take into
account a tendency to “think twice” that might
delay decision making for business stakeholders
and put emphasis on messages shared with them
which should reinsure and encourage new visions,
new cultures to reach a Big Data and Hadoop
sufficient level of readiness from market.
The need for better prevalent models and
contingency plans proving there is a secure
model to roll-out for sustainable growth is at its
paradigm, with words such as “danger”
continuing to accompany the “value, benefits,
seamless” positive attributes which make up for
the vast majority of positive terms.
There seem to be a lack of reality understanding,
and although this so-called reality might include a
range of risks to assess, companies and
researches tend to push towards greater
development to create Big Data type of services
that would result in higher benefits.
Most actors currently positioned in selling and/or
developing Hadoop based services have opted for
an open and flexible strategy to market and
supporting business models (open innovation and
partnerships)
The key point to bear in mind is the disruptive
impact of Hadoop related activities, breaking up
the value chains and putting usage, therefore
humans, at the center of it.
With the rising opportunity of creating self-
developed applications and services, to be used
either or both internally and externally, a few
question marks remain on the actual opportunity
that could be shared on the value chain.
Analysts question the ability of
organizations to support the roll-out of
such solutions given the lack of
specialized resources able to build Hadoop
based solutions and the difficulty they
have to adapt to new governance models.
The radical changes implied by Big Data
and Hadoop to enterprises are such that a
complete unlearning and relearning
process needs to take place throughout
organizations.
Although still under definition for the
greatest part, the legal framework is
starting to take action and protect end-
users.
Market Business Infrastructure

27. 5
5 5
0
Market Attractiveness
2.9
Business Model
Maturity
Infrastructure and
Support
3.3
2
Hadoop Innovation Index 6.48
24%Efficiency

28. http://weareinnovation.org
http://weareinnovation.org/2014/12/10/hadoop-on-the-
rise-but-how-high/
http://weareinnovation.org/2015/03/10/hadoop-finding-
the-right-balance/
http://weareinnovation.org/2015/05/17/hadoop-
structuring-the-future/