Big data scientists and the finance department haven’t always seen eye to eye in most companies. Now is your chance to embrace big data to free your finance department to focus on the ways to add the most value.
You are invited to join Microsoft Finance Director Marc Reguera and members of the Microsoft finance leadership team to find out what they did to become a more empowered and influential finance organization. The powerful new business intelligence tools they will demonstrate have been under wraps for almost two years and have so far only been used within Microsoft.
Now the tools have been road-tested and are ready for you to try. Grab your chance to learn how the Microsoft new BI tools will help your business not only adapt to the world of big data, but actually thrive in it.
Register for any and all of the webinars you are interested in:
1/23/14: Visualization: See how these powerful new tools have improved Microsoft’s ability to consume big data and develop insights by simplifying the data and using visualization tools. Register here.
1/30/14: Definitions: Get the best practices for creating and aligning behind a common set of data definitions and taxonomies. Learn how to get everyone on the same page. Register here.
2/13/14: Outsourcing: Learn how Microsoft worked with partners to optimize and outsource non-strategic finance tasks so the organization could focus on high-value activities. Register here.
2/20/14: Cloud collaboration: Learn how your organization can focus more time on delivering business insights by using Power BI and Microsoft Office 365. Register here.
3/6/14: Making things easy to comprehend without making them simplistic: See how Microsoft finance teams consume and analyze millions of rows of data and present their analysis in a narrative that’s easy to understand for multiple audiences. Register here.
Taken together, this series of webinars will help your company’s finance department adapt to a world of rapidly shifting paradigms and what can be, without the right tools, the overwhelming era of big data.