Churn Analytics

Sales Acceleration mit Qymatix Predictive Analytics Software

Qymatix Selected for the Official German Accelerator Program

 
Qymatix is helping business get ahead with predictive sales and artificial intelligence.

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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All About ERP Data Mining for Sales

All About ERP Data Mining for Sales

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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B2B Customer Journey Management

How to improve your Customer Journey with Predictive Analytics in B2B

About Customer Journey Management in B2B 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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sales-ai-analytics

Predictive Analytics in Sales: 5 Ways it Can Power Yours to Success today

 
Five practical examples of Predictive Analytics that will make your sales team successful.

Getting an edge in today’s competitive market place is vital. For B2B companies, possessing the tools to explore customer behaviour and prioritise leads not only aids productivity but helps boost that all-important bottom line.

Predictive sales analytics has come a long way in the last decade. It is now far more accessible to businesses in traditional industries. For many, it’s a powerful tool in helping to support sales and operations planning.

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Algorithmic Management in B2B Sales

Artificial Intelligence in Sales: B2B Algorithmic Management

Modern data-driven management in B2B sales is where Big Data meets Artificial Intelligence

Although algorithmic management boasts a fancy, new name, managing a workforce using data is not necessarily a new postulate. Just remember that “The Principles of Scientific Management” were published by Frederick Taylor in 1911 and soon became a culprit of the data-driven management.

Algorithmic management is Taylorism in times of big data and artificial intelligence. It uses machine learning to manage and control workforces. Millions of people employ algorithmic management when ordering food, buying online or taking a cab. Millions of workers respond to algorithms. For some, the future of management, for others a depressing picture.
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