Refer back to part one for intro to Reporting and Business Intelligence for professionals in Accounting and Finance. How to Become Analytically Mature: Data Science Examples of Tools Considered: SAS, RapidMiner, Knime, SPSS, Rattle What is Really Important:...
This post is part of a series of case studies that discuss solutions implemented by Syntelli’s data science team. To read more of our success stories, visit here. Client: Large Manufacturer of Home Appliances Our customer, a large manufacturer of a variety of...
As many of you know, I am a “reformed” accountant. I still maintain my CMA and earned a CPA but not longer keep it active. I have also been an active volunteer with the IMA (Institute of Management Accountants) for over a decade – whose members often...
There is a common misconception about the costs associated with structuring data for financial filings to regulators. Companies assume that converting financial reports to XBRL a high effort / low value expense. But the lack of perceived value is due to their...
Don’t let perceived big data investment costs and skills requirements prevent you from optimizing your management toolkit. Have you ever wondered why you can’t get several years of historical data instead of a paltry few months’ worth? Better data builds more solid...