hasemplace.blogg.se -

Excel analytic solver platform for free#
Excel analytic solver platform how to#
Excel analytic solver platform install#
Excel analytic solver platform trial#

In the coming days I will share some other interesting scenarios.Frontline Systems, developer of the Solver in desktop Microsoft Excel, recently released Analytic Solver V2020, a SaaS (software as a service) cloud and desktop platform that offers Excel-savvy business analysts point-and-click tools to create predictive and prescriptive analytics models themselves, without needing expert data scientists or programmers.Īvailable in Microsoft AppSource, Analytic Solver (simulation and optimization) and Analytic Solver Data Mining (forecasting and machine learning) are next generation “Office add-ins” for analytics models that work in a browser with Excel for the web, as well as in desktop Excel for Windows and Mac. Once you get going, you’ll find that it’s really easy to build cool predictive models using Power Query and Analytic Solver Platform. If I explore the tables and charts in the output worksheets, I can explore other aspects of the model results, including the forecasted GDP values. Click on the ARIMA_Residuals worksheet and compare the Actual Value and Fitted Value columns.

We want to look at how well the ARIMA model performed.

XLMiner produces an output worksheet, a residuals worksheet, and a stored model worksheet.

Check “Produce forecasts” and change “Number of forecasts” to 5.

This will show the error in the time series analysis in the report.

Set Autoregressive (p) = 4, Difference (d) = 0, Moving average (q) = 1.

Choose RealGDPPerCapital as the “Selected Variable”.

Enter the following options (and check out the screenshot below):.

Under Time Series, select ARIMA -> ARIMA Model.

Now that we’ve got the data into Excel, we can use XLMiner to run a time series forecast. For another, Power Query lets you easily join and clean data, loading it into worksheets, or PowerPivot data models. For one thing, Power Query supports a number of interesting data sources, as you may have noticed in the menu in step 3. These steps only scratch the surface of Power Query. A new worksheet with national GDP data will be created by Power Query. Click on the Area column header, uncheck “Select All” to clear all entries and scroll down to United States (screenshot below). You should see GDP information by state as well as rolled up to the US:

Expand the Real GDP Per Capity By State entry and click on its only sub-item, called RealGDPByStatePerCapital.

Your Windows Azure Marketplace subscriptions will be listed, including Real GDP Per Capita By State:

The Navigator task pane will open on the right hand side.

Select “From Other Sources” and then “From Windows Azure Marketplace”:.

Start Excel and click on the Power Query tab.

Excel analytic solver platform install#

Download and install Microsoft Power Query for Excel here.If you use Excel and do not know about Power Query, it is definitely worth your time!

Power Query, a free Excel add-on provided by Microsoft, makes this extremely easy. Now we’d like to bring this data into Excel so we can work with it. If you look around you will find a number of interesting data sets.

Go to the Real GDP Per Capita By State data set and subscribe to it.

Go to and sign in using your Windows ID.

Excel analytic solver platform for free#

Historical GDP is available for free on Windows Azure Marketplace, so our first step is to subscribe to the data feed. My goal is to forecast Gross Domestic Product (GDP) in the United States.

Excel analytic solver platform trial#

A new release of Analytic Solver Platform is coming later this week! Visit to download a free trial or purchase. Together, Analytic Solver Platform and Power BI provide a powerful, easy-to-use predictive analytics platform at a fraction of the cost of alternatives.

Excel analytic solver platform how to#

In this post, I’ll show you how to use Analytic Solver Platform in Excel 2013 with Power BI to build a time series analysis model using data from the cloud.