Join us for our next Atlanta MS BI Group meeting tomorrow, Monday, June 30th, to learn about implementing BI for financial reporting. You'll also get a glimpse of the newly announced Microsoft Azure Machine Learning. Spread the word and invite your coworkers but RSVP on our website so we can plan food accordingly.
Microsoft BI for Financial Reporting
Monday, June 30th, 2014
6:30 – 8:30 PM ET
South Terraces Building (Auditorium Room)
115 Perimeter Center Place
Atlanta, GA 30346
Using a Finance data mart in SQL Server 2012, I will demo how to use SSAS 2012 and Excel 2013 for Financial Reporting. This will include the basic DW model for Financial Reporting, how to configure the key dimensions in SSAS, how to setup writeback functionality in the Finance Cube with Security, and how to use Excel for the Reporting and writeback execution to update Budgets within the Cube.
Justin Stephens began working with SQL Server 2000 (DW, DTS, and SSAS) in the fall of 2000 for a small software company in Texas. Early on, he became the SME for MDX Reporting using ASP and later ASP.NET. He was given a few projects using DTS/SSIS that expanded the reporting capabilities. In 2005, Justin spread my wings and began a long exodus from Texas that led him to Atlanta. Over the last 13 years, he has worked for/with some notable companies (Wal-Mart, McKesson, Dell, AMD, BCD Travel, Barclay's) in various industries (Retail, Wholesale Distribution, Finance, Travel, and Education). During this time, he achieved MCITP in Business Intelligence using the 2008 R2 BI Stack. Justin is a die-hard proponent of the MSBI stack.
At TEKsystems, we understand people. Every year we deploy over 80,000 IT professionals at 6,000 client sites across North America, Europe and Asia. Our deep insights into IT human capital management enable us to help our clients achieve their business goals - while optimizing their IT workforce strategies. We provide IT staffing solutions, IT talent management expertise and IT services to help our clients plan, build and run their critical business initiatives.
Prototypes with Pizza
Microsoft Azure Machine Learning by Teo Lachev
With machine learning, computers can approach human performance in perception and understanding across vast amounts of data. Expensive and disconnected tools stood in the way of this innovation, but today Microsoft is democratizing machine learning. Get a glimpse of the Microsoft new cloud-based predictive analytics offering.
Sun, Jun 29 2014 9:48 PM