We solve your business challenges

Python Predictions has solved over 500 business data science challenges. We predict future behaviour of humans and machines. We segment clients and employees. We forecast product demand, build recommendation engines and we analyse your processes. And we always seek truth and beauty in solving business challenges in a data-driven way.

From structured problems to exploration

Where our original projects were often well-defined and well-structured, we also cooperate regularly on less-defined, exploratory projects. Where needed, we partner with our clients to refine project definition, translating the business challenge to a concrete, solvable analytical challenge. In this process, analytical translation skills are key. After we solve the puzzle and implement the solution, we guide clients in how to use the output to create real business results. And we increasingly tackle those challenges in an Agile way.

Using predictions is all about making better-informed decisions. Find an answer to questions such as “Who to target? Who will churn? What drives our churn?”. How? By using predictive analytics, increasing efficiency in a broad range of applications. (from marketing to operations, risk and HR).

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Building data-driven segmentations is one of the core things we do at Python Predictions. The tendency towards more personalised marketing and to better understand customers, puts a data-driven segmentation at the core of a company’s action plan.

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Companies collect massive amounts of data on the behaviour of their customers. How can you benefit from this data to offer your customers the best-personalised recommendation on their next action?

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Most companies are aware of yesterday’s business results, but how can you learn from these figures to predict what will happen tomorrow? And how can you make the right decisions to influence the future and outperform yesterday’s results?

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Organisations are collecting massive amounts of data. Most of the time, they focus on finding the trends that will help drive business decisions. Yet, in some cases, the most valuable information is found in those cases that deviate from the trend.

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Social networks are at the heart of our daily lives. However, using Networks Analytics to tackle business problems is often neglected. We’ve seen great value in its power to visualise data and reveal complex patterns.

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“You can’t improve what you don’t measure” lies at the core of process mining. How can you start redesigning your processes, if you have no view on how your processes run in practice? Process mining is the perfect tool to unlock the as-is situation based on data to identify improvement points.

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Maintenance is an important yet costly activity in many industries. Increasing the efficiency of maintenance processes is a key priority and offers a lot of opportunities. How? By shifting from a reactive to a proactive way of working.

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Data comes in many forms, in this case in the form of digital images or videos. Extracting information from digital images can help you better understand and automate business processes and decisions.

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More and more connected devices are invented, improved and becoming part of our daily lives. “Connectivity” means “data” and where there is data, there is analytics. IoT devices produce huge amounts of information that can be analysed.

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Spatial analytics or geo-analytics helps you uncover location-based insights for your business and gives you a more complete understanding of your data to optimise business decisions.

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Focus on data innovation

The most important data a company has, is often well structured. However, we have gained experience in analysing new data in a variety of formats and sources, often using new technologies. We ensure we continuously innovate through dedicated development time, our connection with modern data science communities and our collaborations with academic programs and business schools.

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Our offering

We solve your business challenges

Python Predictions has solved over 500 business data science challenges. We predict future behaviour of humans and machines. We segment clients and employees. We forecast product demand, build recommendation engines and we analyse your processes. And we always seek truth and beauty in solving business challenges in a data-driven way.

We make data science accessible

Python Predictions has made essential data science concepts accessible to hundreds of managers through interactive, non-technical workshops. We regularly advise clients on their data strategy and help them create analytical roadmaps. And we have provided technical training to many data scientists.

We provide your data expert talent

Anticipating the increasing needs for data science talent, Python Predictions offers different possibilities for long-term collaboration. We help recruit your new talent and we provide data scientists, data science trainees or even team leads on a temporary basis. Quality, motivation and great personality guaranteed.

Data science puts the intelligence in AI. The majority of our work revolves around building and using algorithms in a business context. But solving concrete business challenges is not the only lever to business value. We strongly believe that making data science accessible, and making talent available are key assets in our increasingly data-driven business world.