Ordinal Science

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Descriptive Analytics

Descriptive analytics is analysis of historical patterns using classical statistical methods. The resulting management and operational reports model past behavior and present historical trends. The common approach is to generate spreadsheet or graphs that require a high level of industry understanding to interpret. Ordinal Science develops simple and intuitive tools to interact with your data for you to make quick and efficient decisions.

“Numbers have an important story to tell. They rely on you to give them a voice.”

– Stephen Few, Author of Show Me the Numbers: Designing Tables and Graphs to Enlighten

Challenge

What is your descriptive analytics obstacle? Is your data irrelevant or dated? Are your reports unclear and confusing? Do you have multiple reports that need to be reviewed in a limited amount of time? Is your data from multiple sources that prevent clear analysis? Do you experience delayed reporting, new data and platform learning curves on a generic dashboard? Does that sound familiar?

Approach

Ordinal Science aggregates data from multiple sources, such as data from operational software, financial packages and devices. Data are streamed into the analytics platform where we extract meaning from your data with statistical analysis and data mining tools. Then we serve the results on-demand, through customized interactive applications or APIs. What used to take weeks to process, can now be viewed in real-time.

Solution

Ordinal Science develops solutions that utilize industry and academic research to create platforms that meet your business needs. Our platform reduces time to analyze data, decrease personal interpretation, and provides an interactive landing page with understandable results. These solutions assist in the allocation of the right resources, at the right time, with the right focus.

Descriptive Analytics

Real-Time Analytics

Predictive Analytics

Prescriptive Analytics

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