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Hadoop innovation index

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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.

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Hadoop innovation index

  1. 1. Innovation Index Hadoop:The turning point http://weareinnovation.org
  2. 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. 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. 4. Market Attractiveness Hadoop: On the rise, but how high http://weareinnovation.org
  5. 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
  6. 6. 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
  7. 7. 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
  8. 8. Business Model Maturity Hadoop: Finding the right balance http://weareinnovation.org
  9. 9. 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
  10. 10. 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
  11. 11. 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 ?
  12. 12. Infrastructure and Support Hadoop: Structuring the future http://weareinnovation.org
  13. 13. 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
  14. 14. 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
  15. 15. 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
  16. 16. Innovation Index Conclusion http://weareinnovation.org
  17. 17. 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
  18. 18. 5 5 5 0 Market Attractiveness 2.9 Business Model Maturity Infrastructure and Support 3.3 2 Hadoop Innovation Index 6.48 24%Efficiency
  19. 19. 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/

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