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This is where OLAP technology can be especially helpful: we can demonstrate to ourselves how various scenarios generate different versions, all rooted in distinct assumptions. We can even consolidate all these assumptions into a single workbook, allowing us to work with these assumptions where the numbers exist or where actual calculations occur. 

Unique perspectives can unveil insights that other technologies might not provide. In this case, I’ve employed OLAP to investigate a distinct facet of Rugby World Cup data—specifically, the concept of “dream killers.”

OTB (Open-to-Buy) is a forward-looking metric based on future projections. In retail, it involves assessing current stock and estimating the exact amount of stock needed to achieve a predetermined target. It’s a blend of sales forecasting and stock planning, requiring accurate data and meticulous calculations. 

In this article, Gareth Jones from PARIS Technologies discusses the challenges faced by companies when managing their payroll and workforce planning.     Payroll planning is crucial for businesses, but it is often difficult to optimize due to the limitations of...

Little more than 5 years ago, prospects would balk at the idea of working with business solutions in the Cloud.
Does anyone else remember? Putting key company information, especially financials, into the “Cloud” was considered too risky. In addition, it was natural to ask, How easily can I reach my data when it’s in the Cloud, as compared to reaching it in my local environment?
Accessing data through a browser seemed much shakier than simply double-clicking on