Predictive analytics enables companies to determine forecasts and probabilities of occurrence from customer data. The result is, for example, a sales target that you can probably achieve. However, many people make a mistake when interpreting these results.

In another blog article, I already described that managing directors and sales managers would like to know why certain events occur or not, why specific customers churn. Why one product does not sell or sells more difficult than another. Why a promising lead does not turn into a customer in the end and remains a non-binding contact.

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Karlsruhe, 07.01.2021. You can now find the Qymatix Solutions GmbH on the Industrie 4.0 map. The map is provided by Plattform Industrie 4.0 to make it easier for manufacturers and companies from the production sector to find suitable and established providers for Industrie 4.0 projects.

The overarching goal of Plattform Industrie 4.0 is to secure and expand Germany’s leading international position in the manufacturing industry.
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Karlsruhe, 28.10.2020. The German Accelerator has selected Qymatix Solutions GmbH for its namesake program. Some well-know startups that took part in the accelerator are: Celonis, Data Virtuality, BrandMaker, Shopgate, and N26.

The Federal Ministry of Economics (BMWi) supports the German Accelerator and chooses companies with high international growth potential.

The aim of this program is to support promising start-ups to enter international markets. A faster and easier entry in new markets is a great chance for fast business development.

Qymatix Solutions GmbH has now access to the wide network, partners and investors of the German Accelerator.

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ERP Data Mining: what we learnt from analysing 100 million of B2B sales transactions.

Data mining is the application of a varied assortment of statistical techniques to ERP datasets. Companies nowadays use data mining to predict outcomes, identify sales trends, prevent customer churn, and dynamically adjust pricing strategies.

Mining enterprise resource planning (ERP) sales data is critical in Business-To-Business, where small improvements in sales efficiency can have a significant impact on results. Mining ERP sales data helps customers to unlock a significant amount of value, discover quick-wins, and to prioritise their sales activities. Automatizing this process is possible today with the help of artificial intelligence (AI).

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About the b2b Customer Journey Management and how Predictive Analytics can help.

Predictive analytics, customer-centric selling, and optimization of the customer journey (CJ) have long been part of everyday life in the B2C sector. In the B2B industry, things look somewhat different. First projects are starting, the theory has already been heard and understood – but there is still a lot of uncertainty regarding the concrete implementation.

That is no wonder. There are some fundamental differences between the B2C and B2B sector. For example, business customers often have higher expectations of the business relationship. It is more important for salespeople to build a personal relationship with their customers and to know their customers.

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