by Jessica Otero | Mar 3, 2023 | BI Solutions, Big Data, Business Analytics, Business Budgeting, Business Forecasting, Business Planning, Data Analysis, Data Visualization, Data Warehousing, OLAP, Predictive Analytics, Spreadsheets
Excel is Not a One-stop Shop for your Data Needs “There’s nothing inherently wrong with spreadsheets; they’re excellent tools for many different jobs. But data visualization and data communication is not one of them.” – Bernard Marr We couldn’t agree more...
by Blogger@olap | Sep 16, 2015 | BI Solutions, BI Strategy, BI System, OLAP and Excel, PARIS Tech blog, Spreadsheets, Technology and Trends
“Excel is one of those applications that the business world cannot live without.” So says one of 27 Excel experts commenting on Microsoft’s Power BI Suite and its effect on the great wide world of spreadsheet users. As Excel lovers, we couldn’t agree more! There’s a...
by Blogger@olap | Apr 27, 2015 | Data Warehousing, Spreadsheets
Pivot Tables aren’t merely a way to interact with your data. You also can use them as a rich source of data for regular reports and analyses…without using the weak function, GETPIVOTDATA. by Charley Kyd, MBA Microsoft Excel MVP You can use a Pivot Table...
by Blogger@olap | Dec 18, 2014 | BI Solutions, BI Strategy, Business Analytics, Data Analysis, Predictive Analytics, Spreadsheets
From Forbes.com, this article sparked a lot of interaction on our social media outlets, and we think it is an important one: Business Intelligence (BI) Isn’t Very Intelligent, Yet. Yes, big companies talk about BI like they know what is going on. Fact is, very...
by Jack Guarneri | Dec 16, 2013 | BI Strategy, Spreadsheets
Excel is pervasive in businesses, with a probably very low estimate of a couple of hundred million users around the world. Countless companies run some part of their reporting, analytics or planning systems using spreadsheets. For this good reason Excel is regarded...
by Hellen Oti-Yeboah | Nov 12, 2013 | BI Strategy, Spreadsheets
Most businesses have the ability to capture data from customer transactions and day-to-day operations, and through research. However, the significant problem after accumulating data is how to turn the data into intelligence that can improve the bottom line. A major...
