Artificial Intelligence Decision-making eBook Sales Analytics 
QYMATIX
MAY 31, 2022
One Useful Example of Predictive Sales Analytics & Predictive Modeling in Excel. One of the critical tasks of a sales manager is to timely identify which opportunities have better chances of closing and what makes a “good” sales opportunity. Getting this job right is the essence of successful sales planning.
QYMATIX
APRIL 20, 2021
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. A modern BI solution should merge different data sources and support equal access to analytics across the entire organization. That’s right.
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QYMATIX
MAY 6, 2024
Five practical examples of Predictive Analytics that will make your sales team successful. Predictive sales analytics has come a long way in the last decade. For many, it’s a powerful tool in helping to support sales and operations planning. I want to see what Predictive Sales Analytics can do for me.
QYMATIX
NOVEMBER 13, 2023
Generative Artificial Intelligence (AI), Machine Learning (ML) and Internet of Things (IoT) First, we’re starting off strong as companies increasingly turn to artificial intelligence, machine learning and the Internet of Things to drive data-driven decision-making. I WANT PREDICTIVE ANALYTICS FOR B2B SALES.
QYMATIX
APRIL 19, 2022
Because medium-sized distribution and retail companies, including wholesalers, operate in an increasingly complex and dynamic environment, it is essential to make and implement business decisions quickly. Data is, therefore, the basis for successful business decisions. I WANT TO USE PREDICTIVE ANALYTICS FOR SALES.
QYMATIX
JULY 13, 2021
B2B sales intelligence – should you make or buy your tool? With the cost of sales sky-rocketing and customers changing their buying behaviour, sales intelligence has become critical to the success of any company. Intelligence itself represents a substantial competitive advantage.
QYMATIX
MARCH 4, 2024
You would like to create a set of rules that your sales team can follow to avoid customers from churning or to find hidden sales opportunities. Why cannot your AI sales software do that? AI experts often frame this limitation as rule-based sales analytics versus machine learning. Looks too easy, right?
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