Pyplan was recognized as the Best New Vendor of the Year by the prestigious market analyst firm BPM Partners
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Working in a Single Integrated Environment
Allows you to close the gap between data analytics and business decisions
One Stop Decision-Making Platform
Pyplan allows integrating in a single place all the analytical tasks that supports corporate decision making. Automatically feed off disparate data sources, continue to monitor what’s happening, infering trends using self-calibrated predictive models, and simulate impacts across your enterprise to discover the best course of action.
Business Intelligence
Analyze multidimensional historical data, through interactive dashboards, self created by business analysts using a drag and drop user interface.
Advanced Analytics
Create sophisticated data mining and predictive models that automatically recalibrates with transactional information. Early discover trend changes in your business behaviour to rapidly adapt to new context.
Performance Management
Integrate BI and Analytics insights into the company projection to understand impacts across business areas. Simulate corrective decisions to identify pros-cons and risks of any alternative and finally choose the best course of action.
Pyplan Features
- Influence Diagrams.
Brings transparancy to the business rules that drives your app. It allows you to organize and hierarchical navigate the calculation logic like no other software. - Interactive Dashboards.
Drag and Drop any calculation step to a divisible canvas to easily create any dashboard. Add controls that are automatically synced with the information displayed. - Collaboration.
Share your apps with a single click to your team or the entire company to spread your insights allowing others to contribute with additional perpectives to the decision making process.
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See Pyplan In Action
With Pyplan, you can navigate the logic at your business, understand what drivers influence which results, and buils what-if scenarios to explore alternative strategies and posible futures.
Why having Python as language is relevant?
- Because It is the “lingua franca” of Data Science and a language meant to be easy to read and learn (The Incredible Growth of Python)
- It has more than 150,000 libraries to help you solve any imagined problem you may have
- It has the largest and most active user community that keeps pushing the limits of what is possible and can contribute to answer your questions
Why is Python Programming Language Important in Data Science?
“Data science consulting companies are encouraging their team of developers and data scientists to use Python as a programming language”
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Why I’m Learning Python in 2018
“Python is appealing to those of us in non-technical fields because it puts data analysis, an increasingly important skill in the business world, within arm’s reach”
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Python has brought computer programming to a vast new audience
“In the past 12 months Google users in America have searched for Python more often than for Kim Kardashian, a reality-TV star”
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Why is Python Growing So Quickly?
”The fastest-growing use of Python is for data science, machine learning and academic research.”
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