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Kyruss Big Data Analytics

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Kyruss Big Data Analytics
Name | TEAM 8 | Date | 2/5/2013 | Case 1 | Netflix leading with data : The emergence of data- driven video | Case 2 | Kyruus: Big data’s Search for the killer app |

Information Technology Management Lessons Learned | Selection | Adoption | Exploitation | Function IT | | | | Network IT | | | | Enterprise IT | A) Kyruus: Big Data’s search for Killer app :Selection of IT technology and targeting any of three different segments of healthcare industry. Selection played a major role in deciding the economic fate of the Kyruus and the industry which would adopt it. In case of Regulatory compliance adoption of new Information system meant greater adherence to standards, while it was least risky and required an input of 10 million USD, the market for this venture was about 50 million USD. On the other hand if Physician network and referral was targeted it could prevent leakage of patient preventing losses of 1 million USD for each big hospital. The market for this sector was modest 500 million USD while input was 18 million USD. Lastly, targeting Life Sciences and Pharmaceutical sector meant an input of 40 million USD but the market was much larger than the previous two. All 3 sectors needed IT that could be classified primarily as Enterprise as it facilitated smoother running of operations. But the second option of Physician network could be classified as an example of Network IT and Enterprise IT both. The third option could be classified as IT mix of Enterprise, Function and Network. This is because new IT could be employed by Research and Development sector (Function IT), Clinical trials (Network IT) and Pharmaceutical retail sector (Enterprise IT).Lessons learned: A) So, in the end it all boils down to cost benefit analysis, Long term impact and choices for selecting IT technology. B) All alternatives to develop various IT applications must be explored from a given set of data. | BlockBuster: For an IT system to be well adopted, it must be

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