Enterprise Architecture

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best practices for achieving enterprise IT efficiency

The Enterprise Architecture channel presents the next generation of enterprise IT: recognizing the strategic importance of the data center to make companies more nimble and competitive. These presentations will help demanding IT professionals achieve flexibility, scalability and performance with reduced risk and complexity.

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Ask, Measure, Learn Lutz Finger, Director of Data Science and Data Engineering, LinkedIn; Author, "Ask, Measure, Learn" We do not want Big Data! We want the right data to answer the right questions!

Data is changing our world. Predictions using massive data not only have improved many products. At the same time, they have, in some industries, disrupted business models and created new ones.

What does an organization need to do to generate a new competitive advantage out of data? The answer might be surprising. “Change the state of mind.”

Companies often do not need big data. They essentially want small and actionable advice. Some predictions will need big data to surface relevant information, but not all. The key to success for many companies, however, is to enable “data­driven” decision making. Lutz will discuss the steps he has used in starting and developing his own company (later sold to WPP), as well as how he leads LinkedIn’s data science team.

A) Change the state of mind!
Enable everyone in the company to ask “data driven” questions. Lutz will show how this is the hardest part of the on­going exercise, but why most businesses actually can achieve this with their current strategic abilities. Using examples we will learn what is the best way to formulate the “Ask”.

B) What data?
Data can be a source of disruption & innovation. Business models change because new data sources and enhanced computational power allows new services or improve old services. But which data to use? Domain knowledge is often more important than having “Big Data". Lutz will introduce a framework on how to think about data.

C) How to build a Data Team?
How can organizations build up data capabilities within your team. Contrary to the common discussion that a data scientist are not ‘hard to find’. Lutz will explain how every company can create a data science organization by just mixing the right skillets.
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May 28 2015 4:00 pm
UTC
45 mins
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