SAS | The Power to Know

Turning Data into Dollars

Finding and Delivering Business Value through Data

Wednesday 12 October 2016

12 – 1pm AEST | 2 – 3pm NZT

There is little argument that there is value in data. In fact, many executives would say their data is one of their most valuable business assets. Yet as we progress further into the age of digitisation, many of those same executives are asking "How do we use data to drive revenue?" or "Where's the money in data?" It is much easier to consider and treat data as a valuable asset than it is to monetise it and actually generate value from it.

The term "data monetisation" is used to describe a variety of approaches to turning data into dollars. Data monetisation demands the strategic use of data with different business processes and a unique blend of skills and capabilities, and sometimes even new operating models. In this webinar, Anne Buff will introduce a framework to help you understand multiple methods for monetisation and build a strategy for successful business value generation through data.

You will learn:

  • The difference between internal and external monetisation
  • Non-negotiable skills and capabilities necessary to deliver information offerings
  • The relationship between data consumption and data monetisation
  • Business behaviors and values that foster data monetisation
  • Monetisation in the context of consumer use


Presenter bio

Anne Buff is a Business Solutions Manager and Thought Leader for SAS
Best Practices, a thought leadership organisation at SAS institute. As a
speaker and author she specialises in the topics of data governance, MDM, data integration and data monetisation. Anne has been a specialist in the world of data for over 15 years and has developed courseware for a wide range of technical concepts and software including, SAS® Data Management. In her current role, she leverages her training and consulting experience and her data-savviness to lead best practices workshops and facilitate intra-team dialogs to help companies realise their “data potential”.

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