This solution also allows market analysts to study stock relationships with viable interfaces and co-integration features. Four, XLSTAT-Forecast brings advanced analytical methods for predicting sales, rainfalls, sports results, analyze stock markets or creating optimized portfolios. The advanced version of this solution-XLSTAT-Marketing-allows organizations to attain optimal data insights and improve decision making in each process. Three, XLSTAT-Sensory solution enables users to build specific applications for discrete markets. Two, XLSTAT-Premium is a cost-effective statistical solution with more than 200 add-in features available. Firstly, he says, “With more than 100 statistical features such as data mining, machine learning, tests, data modeling and visualization, XLSTAT-Base solution enables organizations to gain deep data insights.” To give a comprehensive picture of the firm’s capabilities, Founder and CEO of the firm, Thierry Fahmy illustrates XLSTAT’s extensive solutions portfolio.
#XLSTAT CUSTOMER SERVICE SOFTWARE#
The multilingual, cost-effective software can be availed in English, French, German, Italian, Japanese, Spanish, and Portuguese and brings forth a myriad of benefits that enables organizations to modify and automate several statistical functions according to their business needs. Today, XLSTAT is used by more 100,000 users, businesses and universities, large and small, in over 200 countries. During its journey of over two decades, XLSTAT has continuously scaled in the market and emerged as one of most widely used statistical software packages in the world. The firm provides several Excel add-in features to expand its analytical capabilities. Paris-based firm XLSTAT came into the picture to change all that. While Excel is a significant statistical tool for analyzing data, the software is restricted when it comes to more extensive data sets. In short, XLSTAT is a workhorse for data scientists with a few simple mouse clicks and visualizing the response in every step as stunning graphics.Thierry Fahmy, Founder & CEO Although Microsoft Excel is very popular amongst the spectrum of users, it doesn't necessarily cut it as an adequate statistical tool. This is where XLSTAT becomes the default platform for data science projects. In this situation, undergraduates who only have some basic operational knowledge about Excel spreadsheets are easily drawn into using a data science platform which runs on the already familiar Excel and transforms their data in spreadsheets into powerful and efficient models. This tutoring approach goes a long way in encouraging students towards a dissertation project involving data-driven modelling. This includes even spatial and time-series data. In the academic milieu, we regularly face the task of explaining students of how statistical models are built from a set of data and their specific applications accompanied by demonstrations in the classroom. With XLSTAT, the first one in the list alone is sufficient enough to successfully accomplish the goal the rest is taken care of by XLSTAT. Sampling, data preparation, exploratory data analysis to building prediction models with state-of-the-art machine learning algorithms generally encompasses a set of requirements: a clear objective, a software with all standard features and algorithms, intuition, technical guidance, and probably, also experience. Overall: XLSTAT can be best described as the software for data science from beginner to advanced levels that can be operated without the need of technical guidance.
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