Big Data

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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Digitaler Vertrieb Aufgaben

Digital sales: Your future tasks

 

As sales becomes increasingly digital, the question arises: What tasks can sales managers focus on in the future thanks to modern data analysis software?

Data, data, data. The modern “currency” in companies is also changing the tasks in sales.

It is common for sales managers to know that they should use their customer data effectively due to the competitive pressure emanating from the megatrend of digitalization. But how?

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Why CRM Projects Fail

Why CRM Projects Fail

Why CRM Projects in B2B Fail and How to Make Them More Successful.

Many studies over the years have shown a very high failure rate for Customer Relationships Management (CRM) systems. Already in 2001 Gartner estimated this rate to be at about 50%.

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b2b sales trends

B2B Sales Trends – What Really Matters

What are essential trends in B2B sales and how to succeed in this flood of innovation?

B2B Sales is fighting an innovation race. Sales managers often have to decide whether they want to engage in a new “sales trend” or not. Which new sales channels should they consider? Which supporting IT programs implement? Which new methods are adopted and which are not?

According to Gartner, purchasing behaviour in the B2B sector is adapting to today’s fast and innovative economy. During this “big data” age of new technologies and rising customer expectations, companies should not stick for too long to old structures. In short, a stagnating company cannot survive in such a dynamic market.

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