Author: Lucas Pedretti

Predictive Analytics in B2B: 3 Ideen für Vertriebsleiter

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

 

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

 

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Vertriebscontrolling-Kunstliche-Intelligenz

Artificial Intelligence Example to Rock Sales Controlling in B2B

Machine learning (ML) and artificial intelligence (AI) hold the key to a tremendous improvement in sales controlling efficiency. A software is intelligent if it can solve problems independently and efficiently.

 

The degree of intelligence depends on the level of autonomy, the extent of complexity of the problem, and the efficiency of the problem-solving process. In artificial intelligence terms, researchers speak of “strong” versus “weak” AI – “general” and “narrow” AI, respectively.
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Sales Management in times of Artificial Intelligence – Five tips to redefine B2B Sales

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 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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erp-kuenstliche-intelligenz

Why is your ERP useless without AI?

 

Let’s face it, in a few years, we will lose the battle against the terminator. Reading about the advances in artificial intelligence (AI), a sales manager does not need a computer scientist to be fearful, excited, or both.

 
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The remarkable truth about Predictive Sales Analytics & Controlling

 

No organisation will survive the next decade without harvesting the power of predictive sales analytics. However, many sales leaders in Business-to-Business (B2B) still lack the understanding of its benefits or the infrastructure they need.

Some ignore the value of their sales data, languishing unused in their ERP and CRM systems. Furthermore, B2B sales controllers are expected to gather an ever-increasing amount of sales data, for their sales leaders to neglect value extraction. And there is no value in the data if it is not used to improve revenues.
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