Big Data

Why CRM Projects Fail

Why CRM Projects Fail

Why CRM Projects in B2B Fail and How to Make Them More Successful.

Many studies over the years have shown a very high failure rate for Customer Relationships Management (CRM) systems. Already in 2001 Gartner estimated this rate to be at about 50%.

(more…)

b2b sales trends

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 should they consider? Which supporting IT programs implement? Which new methods are adopted and which are not?

According to Gartner, purchasing behaviour in the B2B sector is adapting to today’s fast and innovative economy. During this “big data” age of new technologies and rising customer expectations, companies should not stick for too long to old structures. In short, a stagnating company cannot survive in such a dynamic market.

(more…)

All About ERP Data Mining for Sales

All About ERP Data Mining for Sales

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 sales trends, prevent customer churn, and dynamically adjust pricing strategies.

Mining enterprise resource planning (ERP) sales data is critical in Business-To-Business, where small improvements in sales efficiency can have a significant impact on results. Mining ERP sales data helps customers to unlock a significant amount of value, discover quick-wins, and to prioritise their sales activities. Automatizing this process is possible today with the help of artificial intelligence (AI).

(more…)

predictive-analytics-qymatix

One Secret? There are at Least Three Pressing Reasons Why Predictive Sales Analytics Cannot Wait Until Tomorrow

Predictive analytics covers a variety of statistical algorithms from machine learning, predictive modelling and data mining. It analyses past facts and historical data to make predictions about events and to identify the likelihood of future outcomes. Predictive analytics has been around for years, but it was impractical in large-scale sales settings due to an inadequate data analysis infrastructure.

(more…)