MODLR - The Corporate Performance Cloud Alternatives
MODLR - The Corporate Performance Cloud is described as 'MODLR is business modelling and planning software that provides everything needed to enable connected corporate modelling. Accessible from anywhere, simple to use, the platform empowers you to set your goals and execute better than ever' and is a Business Intelligence App in the Business & Commerce category. There are more than 10 alternatives to MODLR - The Corporate Performance Cloud for a variety of platforms, including Windows, Online / Web-based, Android, iPhone and Mac. The best alternative is Microsoft Office Excel. It's not free, so if you're looking for a free alternative, you could try Microsoft Power BI or Vole Office. Other great apps like MODLR - The Corporate Performance Cloud are Tableau (Paid), Pentaho (Paid), QlikView (Paid) and IBM Cognos Insight (Free Personal).
Power BI for Office 365 is a self-service business intelligence (BI) solution delivered through Excel and Office 365 that provides information workers with data analysis and visualization capabilities to identify deeper business insights about their data.
Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite of open source products which provide data integration, OLAP services, reporting, dashboarding, data mining and ETL capabilities.
From business intelligence to financial performance and strategy management to analytics applications, Cognos software can provide what your organization needs to become top-performing and analytics-driven.
Vole Office is a light Microsoft Word and Excel editor, it is easy to use and low in Price. Vole Office help you create full-featured Microsoft Word DOCX and Microsoft Excel XLSX document and replicate Microsoft Office user experience.
This powerful and professional spreadsheet has all the tools you need to calculate, analyse, summarise, and present your data in numerical reports or colourful graphics. Pull in data using ODBC and produce subtotals and statistical analyses.