Entries for May 2013

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Recently I saw the movie “42,” based on the true story of Jackie Robinson,who in 1947 bravely fought custom, bigotry, and violent hostility to become the first African American to play major league baseball. His courage came from his inner strength which allowed him to withstand with dignity the cruel behavior from fans, other team managers and players, and at first some of his own teammates.

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Many BAs are using the  BABOK which contains information about a Requirements Management process, from identifying organizational situations that give cause to a project, through to starting the requirements gathering process, to delivering a solution to the business or a client. TOGAF 9, from an Enterprise Architecture viewpoint, also provides some techniques to gather requirements to equally deliver business solutions. This paper illustrates the two processes, defines the mapping between the two approaches and identifies gaps in each.

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If business analysts are to enable innovation, we must learn to decode the wishes of our customers into requirements that drive toward what the solution must achieve, without specifying how to achieve it. We can do this by formulating our requirements in abstract, technology-neutral descriptions, learning from patent claims how to achieve this difficult balancing act.

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The web has opened a flood of learning resources for enterprises. It has reduced costs, extended learning channels and increased learning efficiencies. However, these benefits are only available to businesses that understand the new ways that we are absorbing and spreading information. By incorporating important elements of social curation and automation, Bloomfire remains a step ahead of the curve. It offers the advantages of reduced costs with increased employee engagement and productivity. The solution has created a tool for knowledge sharing and adoption and carved a new vertical of its own.

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Business Analysis is the first link in the chain. Unfortunately many times it is also the weakest link. Probably because we have never considered the most important issue: Business Analysis is a people-oriented process. Why then do we behave like engineers with our UML diagrams and so forth? Furthermore, many people believe that Business Analysis is just a matter of describing the business as it is – which is completely wrong: Good Business Analysis is full of insight and is forward looking. The process itself can be meaningful, eye opening and creative.

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In this rapidly changing situation, there are great opportunities for business analyst professionals who can propose resourceful modernization solutions at a fraction of the initial development cost.

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Would organizations use such a model? What kinds of organizations? Who in those organizations would introduce it and create them? What would organizations use it for? How successful would these decision models be? After seven years, we have answers.They tell an interesting story about the birth and usage of this new kind of model.

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Predictive Analytics can play a massive role in the simplification of Big Data. The role it plays comes down to getting the most out of this Big Data, and it starts with what some people refer to this as the fourth “V” of Big Data (Velocity, Variety, Volume), and that is Value. Predictive Analytics takes all of the data available and can pull the most important elements of that data, helping to create a predictive model or create an ideal profile to help organizations in many different aspects of the business.

 



 




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