Cube enables end-users to “self-serve” data, eliminating the need to involve the IT department in building most custom reports. same month-to-date last year, year-to-date vs. Cube has built-in most of the common business calculations like profit margin and profit margin percentage, as well as providing a wide range of comparison data such as month-to-date vs. Business intelligence (BI) is a data analysis process that organizations use to gain insights into business performance and improve operational decision-making and strategic planning.
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Ease of Use – Users don’t need to be Excel experts, or even have to know how to build formulas in Excel. SAS wurde bereits in den 70er Jahren gegründet und hat eine lange Tradition auf dem BI Markt hinsichtlich der Erforschung, Analyse und Visualisierung von Daten.
Cube provides all of the data in one place, eliminating the need to combine data. SAS Business Intelligence ist eine Softwarelösung, die zahlreiche Produkte und Technologien unter anderem für Data Scientists, Business Analysten, Statistiker oder Forecaster anbietet. Users must often run several management system reports, load them into separate Excel spreadsheet tabs, then write formulas to combine the data from all the tabs. Business intelligence (BI) refers to the procedural and technical infrastructure that collects, stores, and analyzes the data produced by a company’s activities. Increased Productivity Time Savings - Complex reports can often be built in a fraction of the time it takes as compared to building them off of the management system.
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Sales Analysis Store or Geographic Analysis – What is being sold by store or geographic region such as state, city, or individual zip code? How do stores compare with each other in terms of profit margins for the same product lines and sublines? Salesperson Profitability – What products are your sales people selling to what customers? How do they stack up against other sales people in terms of volume and profitability? Customer Profitability - Who are your profitable or unprofitable customers? Which customers have widely different profit margins within the same product line or subline? Product Profitability – What are your profitable or unprofitable product lines or sublines? How do similar product lines or sublines compare with each other in terms of volume and profitability? Time Analysis – What times of day or days of the week have the highest or lowest volumes for your stores? How does the productivity of individual sales people vary by time of day? Do particular customers only buy at certain times of the day?