Lead Scoring

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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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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Sales Management in times of Artificial Intelligence – Five tips to redefine B2B Sales

Artificial intelligence in sales: our top five tips!

Sales processes, salespeople and sales management should adapt to the brave new world of artificial intelligence. Artificial intelligence is taking over the administrative tasks that consume much of the managers’ time. It is doing it faster, better, and at a lower cost. It has pros and contras. AI will redefine management.

In B2B Sales, artificial intelligence (AI) refers to Enterprise Resource Planning (ERP) and Customer Relationships Management (CRM) systems equipped with machine learning and automatized data mining features.

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Predictive Analytics in B2B: 3 Ideen für Vertriebsleiter

Are you a sales manager with Big Data? Here are three Predictive Analytics examples for B2B

With predictive analytics, big data becomes a big opportunity for B2B sales managers. This significant opportunity requires, however, a profound understanding of the sales situation, coupled with an understanding of big data mining models available.

 

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