Predictive analytics – how much data do you really need?

How Much Data Do You Need For Predictive Analytics?

Predictive analytics is one of the technologies with the highest financial impact in B2B sales. Several popular applications of predictive analytics are becoming “must-have” nowadays.

Sales leaders rely on lead scoring, customer attrition modelling, cross-selling analytics and pricing analytics to prioritise their sales activities and increase their customer lifetime value.



How to measure ROI of advanced sales analytics projects


Return on Investment (ROI) is one of the most popular evaluation metrics and performance measurement used in business analysis nowadays.

The ROI is a powerful tool for evaluating the performance of any financial investment, in this case, advanced sales analytics projects and software.

Predictive analytics applies mathematical methods and techniques from data mining, statistics, machine learning, and artificial intelligence to make predictions.

Predictive Sales Analytics is used nowadays in applications such as lead scoring, pricing analytics, churn risk analysis and cross-selling, among others.



Predictive Analytics Blog – The Best of 2018

The Most Popular Articles in Qymatix Sales Analytics Blog during 2018 – as quoted by cats.

Near the end of every year, we list in an especial post the most read articles of our blog. “Best-of-the-year in predictive sales”, as it is now popularly known in Germany.

This time, since artificial intelligence might be about to take over the world, we decided to change the format. We will let funny, sweet kittens quote our most read articles of the year. They are not “bongo cats”, but real ones.



Four steps to improve your sales operations with predictive analytics

Optimize your sales planning with Predictive Analytics in four steps.

Sales and Operations Planning (S&OP) encompasses two close-related fundamental processes: sales planning and operations planning.

S&OP is perhaps the most crucial planning process of any company. The primary goal of S&OP is to align three critical but opposing goals: sales productivity, customer satisfaction and inventory optimisation.

With the help of predictive analytics, sales leaders can nowadays improve operations thanks to increases in sales productivity.


predictive analytics api

Qymatix has an application programming interface (API)


Since this summer, Qymatix is offering an application programming interface (API). This is a library of queries that allows users to connect with Qymatix Sales Analytics tool.

The Qymatix REST API enables advanced users and developers to access Qymatix functions without having to login into the Qymatix web app. Using the API, users can get customers data and results of sales data analysis and indicators from its advanced sales analytics.

Qymatix reporting API provides access to the tabular data in Qymatix Sales Analytics standard reports. To access data and results, you need to create a query that specifies the profile (through a token) and the query you want to run.

Qymatix API for ERP Cloud Data

To get started with Qymatix API, you first need to be registered in Qymatix. Once registered and logged in, you can access the API from here.

Now users and developers can connect sales data from other enterprise resources planning systems (ERP).


Do you have any further questions on predictive ERP? We are happy to help!