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
Die beliebtesten Artikel im Qymatix Sales Analytics Blog im Jahr 2018 - von Kätzchen zitiert.
Gegen Ende eines jeden Jahres listen wir in einem speziellen Beitrag die meistgelesenen Artikel unseres Blogs auf. "Best-of-the-year des Predictive Sales Analytics Blogs von Qymatix", wie er in Deutschland inzwischen allgemein bekannt ist.
Da künstliche Intelligenz bald die Welt erobern wird und wir alle arbeitslos werden, haben wir beschlossen, diesmal das Format zu ändern. Wir lassen lustige, süße Kätzchen unsere meistgelesenen Artikel des Jahres zitieren. Es sind keine Bongo-Katzen, sondern echte.
Predictive Analytics in B2B E-commerce: A customer acquisition example
As "Business Manager E-commerce" I work daily with new trends and strategies to improve and optimise the buying experience of our B2B customers.
There is one trend that Business Managers cannot avoid in E-Commerce these days: the systematic use of data to optimise product and sales strategies.
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.
