https://siliconangle.com/2016/05/09/what-do-you-get-when-you-put-a-data-scientist-and-an-mba-in-a-blender-emcworld/
#theCUBE #EMC #SiliconANGLE #EMCWorld
01. Bill Schmarzo, EMC, visits #theCUBE!. (00:15)
02. About the Book Big Data MBA. (00:40)
03. Changing the Conversation: The Practical Data Scientist. (02:33)
04. The Hard Work of Understanding Business Drivers. (04:01)
05. Cloud Bringing Business Freedom. (06:00)
06. Examples of How to Bring Big Data Business to Life. (07:30)
07. Discovering the Topic of Diversity. (11:22)
08. The Data Lake is the Great Enabler. (13:46)
09. The Reality of Big Data in Business. (14:20)
--- ---
What do you get when you put a data scientist and an MBA in a blender? | #emcworld
by R. Danes | May 9, 2016
Better business through Big Data is a top area of interest in technology, with those on both sides of the aisle asking the same question: Do we make business people data scientists, or do we make data scientists business people?
Bill Schmarzo, chief technology officer of EMC’s Global Services Big Data Practice, has written a book called Big Data MBA in which he attempts to answer this question. “We can’t expect to go out and find data scientists who understand the business as well as the business people. Those unicorns are not out there,” he told John Walls and Jeff Frick (@JeffFrick), cohosts of theCUBE, from the SiliconANGLE Media team. “So how do we get the business people to start thinking more like the data scientist?”
Schmarzo said people first need to get over the idea that data science is a super complicated, esoteric field of study that only geniuses can do. All it is, he said, is, “Identifying those variables and metrics that might be better predictors of performance.” Once we get business people to realize that, they can start thinking of data science as just another business discipline they have to learn.
A lucrative marriage
Schmarzo said that the best outcomes will result from business people thinking about what questions need to be asked and then getting the data scientists, with their unique expertise, to ferret out the answers.
The trick is in getting business people to learn just enough about data science to ask the right questions so “they’re moving from an environment where I’m asking questions about what happened historically to start asking questions about what’s going to happen in the future.”
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Bill Schmarzo, EMC | EMC World 2016
https://siliconangle.com/2016/05/09/what-do-you-get-when-you-put-a-data-scientist-and-an-mba-in-a-blender-emcworld/
#theCUBE #EMC #SiliconANGLE #EMCWorld
01. Bill Schmarzo, EMC, visits #theCUBE!. (00:15)
02. About the Book Big Data MBA. (00:40)
03. Changing the Conversation: The Practical Data Scientist. (02:33)
04. The Hard Work of Understanding Business Drivers. (04:01)
05. Cloud Bringing Business Freedom. (06:00)
06. Examples of How to Bring Big Data Business to Life. (07:30)
07. Discovering the Topic of Diversity. (11:22)
08. The Data Lake is the Great Enabler. (13:46)
09. The Reality of Big Data in Business. (14:20)
--- ---
What do you get when you put a data scientist and an MBA in a blender? | #emcworld
by R. Danes | May 9, 2016
Better business through Big Data is a top area of interest in technology, with those on both sides of the aisle asking the same question: Do we make business people data scientists, or do we make data scientists business people?
Bill Schmarzo, chief technology officer of EMC’s Global Services Big Data Practice, has written a book called Big Data MBA in which he attempts to answer this question. “We can’t expect to go out and find data scientists who understand the business as well as the business people. Those unicorns are not out there,” he told John Walls and Jeff Frick (@JeffFrick), cohosts of theCUBE, from the SiliconANGLE Media team. “So how do we get the business people to start thinking more like the data scientist?”
Schmarzo said people first need to get over the idea that data science is a super complicated, esoteric field of study that only geniuses can do. All it is, he said, is, “Identifying those variables and metrics that might be better predictors of performance.” Once we get business people to realize that, they can start thinking of data science as just another business discipline they have to learn.
A lucrative marriage
Schmarzo said that the best outcomes will result from business people thinking about what questions need to be asked and then getting the data scientists, with their unique expertise, to ferret out the answers.
The trick is in getting business people to learn just enough about data science to ask the right questions so “they’re moving from an environment where I’m asking questions about what happened historically to start asking questions about what’s going to happen in the future.”
