Data
Science

VISUALISE AND ANALYSE PROCESS DATA

What is Data Science?

How you can use process data meaningfully

Smart presentation of process data

The combination of Robotic Process Automation (RPA) and Data Science enables you to analyse process data extensively. This is because software robots collect vast amounts of data during the handling and automation of processes.

With our Data Science solution, you can present these data sets visually and comprehensibly in modern dashboards. The process information is prepared and analysed for developments and correlations. Relevant key figures or customer data can be visualised as well.

Generate new insights

The analytical representation of such complex data sets creates great added value for your organisation. With Data Science, you can always stay up to date, get an overview of your processes and turn relevant data into valuable insights.

You can identify weaknesses, trends and patterns in your business processes at an early stage. This also enables you to proactively exploit opportunities, develop correlations, create future forecasts, design efficient workflows and make smart decisions!

CREATE ADDED VALUE FROM DATA

ALWAYS KEEP AN EYE ON PROCESSES AND RESULTS

EXTRACT DATA

Large amounts of data are collected during the processing and automation of processes.

Save data

The robot stores all this data encrypted in our on-premise NoSQL database via an API.

Visualise data

All information can then be presented visually and understandably in a modern dashboard.

Analyse data

This provides you with detailed insights into the process and allows you to draw important conclusions.

Use Case

Sales

With the help of RPA and Data Science, customer and company data can be evaluated, and sales reports visualised. This allows you to identify trends and correlations in the information at an early stage, which you can use to optimise your sales processes and maximise profits.
Use Case

Human Resources

While a software robot takes over the creation of employment contracts, you maintain a comprehensive overview of the HR environment with the help of Data Science and gain detailed insights into your work processes as well as anonymised personnel data and can make optimisations, if necessary.
Use Case

Accounting

With Data Science you have the possibility to get a clear overview of your booking process of incoming and outgoing invoices. You can see exactly how many invoices have been processed, the total amount of the invoices, which suppliers the invoices came from and much more.

Use Cases

Sales

With the help of RPA and Data Science, customer and company data can be evaluated and sales reports visualised. This allows you to identify trends and correlations in the information at an early stage, which you can use to optimise your sales processes and maximise profits.
Use Cases

Human Resources

While a software robot takes over the creation of employment contracts, you maintain a comprehensive overview of the HR environment with the help of Data Science and gain detailed insights into your work processes as well as anonymised personnel data and can make optimisations, if necessary.
Use Cases

Accounting

With Data Science you have the possibility to get a clear overview of your booking process of incoming and outgoing invoices. You can see exactly how many invoices have been processed, the total amount of the invoices, which suppliers the invoices came from and much more.

HOW YOU BENEFIT FROM DATA SCIENCE

BIG DATA AS AN OPPORTUNITY FOR COMPANIES

Only those who process large amounts of data correctly can make well-founded decisions and recommend concrete actions. With Data Science, you get a detailed overview of your processes and benefit from many advantages.

Create transparency

Get detailed insights into your customer, process and company data that were previously unattainable.

Analyse errors

Learn from mistakes and projects that didn’t go well, because it’s these results that will help you and your team move forward.

Decide strategically

Identify correlations, trends and developments in your process data and create a basis for decisions.

Promote innovation

Proactively seize opportunities and forecast the future to provide your customers with more innovative products and services.

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