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Turning big data strategy into reality


I have written a number of blogs about big data recently, and because of my background in strategy and IT service management these have focused on business-facing value creation. If you haven’t seen these then you might like to have a look at:

After you have created a high level strategy and decided how big data could help you create value for your customers, you will need to think about your next steps. How are you going to define a technology architecture and then design and build the big data solution that you need?


One thing that I love about working for HP is the enormous breadth of products and services that enables us to address our customers’ issues, and big data is no exception. At HP Discover 2013, HP has just announced a number of services that will help you define, design and build your big data solution.


  • HP Big Data Architecture Strategy Services. We can help you develop an integrated IT strategy to capture, consolidate and manage the business-aligned information that keeps IT relevant. The new HP Big Data Infrastructure Transformation Experience Workshop joins our newly updated HP Roadmap Service for Hadoop to bring you powerful tools to build your big data vision.


  • HP Big Data System Infrastructure Services. With these new offerings, HP can help your organization navigate the complexities of Hadoop design and implementation by constructing a detailed plan that considers your deployment goals, and supports enterprise growth. The three services in this group are: HP Enterprise Design for Hadoop, HP Reference Architecture Implementation for Hadoop, and HP Implementation Service for Hadoop.


  • HP Big Data Protection Services. Our new Big Data Protection and Compliance Analysis helps you identify potential risks and achieve compliance with government and industry data security requirements.


Read how HP Big Data Infrastructure Consulting can help your organization get ready for Big Data (pdf download).


Watch this short webcast to learn why preparing your infrastructure for big data is critical.


If you want more ideas to help you think strategically about IT services, then read some of my other blogs (most recent blog is at the top):

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Thanks for pulling the "big" topic of Big Data together into a logical context. I would anticipate the following questions as part of the Big Data journey:


  • Does the technical architecture really need to be addressed if you have software that traverses the enterprise? If it does need to be addressed, why is that important?
  • What about the data architecture - will that need to be addressed? 
  • What about cloud?
  • How do you plan for Big Data services - is capacity and availability management a part of that planning?
  • Security is one of my biggest concerns with Big Data - what are others doing in this area?
  • What additional risks do I need to address as it relates to security? In particular, data segmenting.
  • What new functionality in Big Data software solutions are or will be key in the future?

It is a big topic with big questions. I hope by asking we will start some threads on these various topics...





Thank you for this comprehensive response. The answers to your questions need to be specific to the customer and their needs.


I would love to take you through our HP Big Data Infrastructure Transformation Experience Workshop which covers many of these areas.


 Stuart - 


Thanks for another thought-provoking post. I understand that the technology "how" of implementing a big data strategy is important. For many organizations this is a significant investment in new technology as well as a major rethink of data architecture. These are certainly investments that must be undertaken thoughtfully. 


I am concerned, however, that these technological "hows" have the potential to draw attention from the "hows" of governance. Big data strategies can have impact at a user experience level and a social/political . 
As an example of user experience, I searched a competitor on Google and now the competitors ads show up in the adspace slots on websites that I visit. This not only makes it awkward to show websites to clients, the big brother-ness of it  kind of creeps me out.


On the social/political front, recent US policy and debate over the use of big data and the balance of security and privacy are but one example of the need for responsible and on-going decision making with respect to implementation and use policy. 


My point is that I have seem many examples of a focus and fascination on technical implementation  distract and derail the equally important focus on responsible governance including the on-going decision-making is necessary as this technology and its applications grow. I believe that the organizations that receive the biggest benefit from the enormous potential of big data will be those best able to balance these two priorities. 



I absolutely agree that governance is essential for big data projects, and I that there is a need for a wide debate in society about the acceptable limits of how our personal data can be used.


Because I live in Europe I have a different cultural background about data privacy and personal information to the one that has prevailed in the USA, but I see increasing calls from both sides of the Atlantic for an informed debate on what is acceptable. This debate will have to recognize that we want free services provided by organizations like Google, and that they will need to derive revenue from us in some way.



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