Predictive Analytics: Questions and Answers
This article answers the most asked questions about predictive analytics (PA), according to Google. Predictive analytics is a technology that allows you to look into the future. Especially in the last two to three years, we have noticed a…
Data Mining in ERP for Sales – All About It!
ERP Data Mining: what we learnt from analysing 100 million of B2B sales transactions. Data mining is the application of a varied assortment of statistical techniques to ERP datasets. Companies nowadays use data mining to predict outcomes, identify…
How to define customer churn in B2B?
B2B Churn Rate: Definition and Calculation. Business-to-Business (B2B) companies depend on building and developing long-term relationships with their customers to be financially successful. However, over time, some customers will stop…
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…
Artificial Intelligence in Sales: B2B Algorithmic Management
Modern data-driven management in B2B sales is where Big Data meets Artificial Intelligence. Using AI for sales efficiency. Although algorithmic management boasts a fancy, new name, managing a workforce using data is not necessarily a new postulate.…
Sales Management in times of Artificial Intelligence – Five tips to redefine B2B Sales
Artificial intelligence in sales: our top five tips! 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…
B2B E-commerce Analytics: Why Predictive Analytics is now critical
Predictive Analytics in B2B e-commerce has become decisive. The sale of products and services via B2B platforms is on the rise. However, precisely because of the intense competition for comparable offers there, companies should automatically…
Predictive Analytics: Three incredible future examples you should know about
Three Possible future scenarios in unexpected application areas of Predictive Analytics. Let's explain the function of Predictive Analytics (PA) in simple terms: A software uses algorithms to analyze existing data and calculate probabilities of…
Shakespeare is dead! Let machine learning bring intelligence to your text.
One first-hand example of predictive text scoring and sentiment analytics using machine learning. We are always looking for a way to bring machine learning to ERP-Systems. Companies can apply a Predictive Scoring using Machine Learning to…
How a Poor Lead Scoring Methodology is Hurting your Business.
Classic Pipeline Management & Lead Scoring vs Predictive Analytics Sales in Business-to-Business is dramatically changing. Personal contacts and relationships are no longer a guarantee for more business. Pure push strategies are losing its…
