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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The difference between Business Intelligence (BI) and Self-Service BI and why Qymatix is not a traditional Self-Service BI solution.

2018 said Carlie J. Idoine, Research Director at Gartner:
“The trend of digitalization is driving the demand for analysis in all areas of modern business and administration.”

That’s right. Not only large companies and big players, but also more and more SMEs have recognised the value of data analysis: Data-supported decisions to achieve corporate goals.

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If you keep up to date with new technologies, you have undoubtedly come across several professional articles about Predictive Analytics (PA).

According to the Harvard Business Review, experts agree that predictive analytics delivers a significant gain from your data: actionable information. Precise forecasts are the holy grail for sales decisions in the B2B sector.

But anyone who wants to use predictive analytics profitably should also understand it. For this reason, we have compiled four facts about PA that are often underestimated or ignored in practice.

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Do you know the following situation? You work for a B2B manufacturer or wholesaler, and you have some bright minds in your IT department. Data projects are a dime a dozen: in individual departments, across departments (maybe a new CRM?) and some IT people even try to create “THE ONE data analysis”.

Nevertheless, nothing works. The efforts do not pay off measurably, and the analyses wither away in archives.
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Everybody knows, B2B pricing analytics represents one of the most critical levers to boost earnings. Still, this reality is a sometimes-overlooked fact in Business-to-Business (B2B).

However, getting B2B pricing right can represent both financial success and substantial competitive advantage. Pricing is not only a driving factor in for-profits, but it also impacts how customers and markets perceive brands.
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