IBM Big Data and Analytics Sales Mastery v2

Data Scientists and Data professionals ✘ IT Managers ✘ C-level Executives ✘ All of the above ✔

IBM agrees. Our BigInsights product is based on open source Hadoop which we have transformed into an Enterprise ready platform. We have layered this with security, governance and analytics. ✘ All of the analysts are saying the same thing. New technology gives us the ability to finally analyze BigData, something the Data Warehouse could not do. ✘ Our customers have made a lot of investment in data warehousing and this will continue to pay off.We will leverage this infrastructure within our Watson Foundations and will not rip and replace it with something that does not have the performance to analyze unstructured data. ✘ All of the above. ✔

1 ✘

Machine data is complicated, but weve made it easier to analyze ✘ It's only complicated if you have machine data in-motion. ✘ IBM solutions will help you analyze machine data in addition to enterprise data. ✘ IBM solutions will help you combine machine and enterprise data. ✔

Ability to analyze structured data ✘ Analytics and Governance throughout ✘ Open source Hadoop ✘ All of the above ✔

IT ✘ LOB ✘ CEO ✘ None of the above ✔

IBM employs proven solutions that help clients ✘ IBM is the only vendor to bring cognitive capabilities into the data warehouse picture ✘ IBM has the deepest patent assets and investment of any vendor ✘ All of the above ✔

IT has significant staffing levels that attempt to manage data complexity ✘ Data Warehouse capabilities are not keeping up with business expectations ✘ Their competitors are leveraging big data ✘ B and C ✔

Having difficulty dealing with large volumes of machine data ✘ Unable to perform complex real-time analysis ✘ Looking to extend the data warehouse ✘ Unable to perform root cause analysis ✔

Structure ✘ Unstructured ✘ Spatial ✘ Semi-structured

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