With predictive analytics, big data becomes a big opportunity for B2B sales managers. This significant opportunity requires, however, a profound understanding of the sales situation, coupled with an understanding of big data mining models available.
The difference between Business Intelligence (BI) and Self-Service BI and why Qymatix is not a traditional Self-Service BI solution.
That’s right. 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.
To discuss the future of sales, let’s first present how companies made Business-to-Business sales 50 years ago and how it works today. Let’s then peep inside the crystal ball to see what sales (and marketing) can look like in the future.
How can your B2B sales team take fact-based decisions faster using your CRM and ERP data?
Modern lead management with a well-thought-out lead strategy, consistent lead evaluation and prioritisation and powerful tools ensures that marketing resources are used efficiently and effectively in marketing.
What happens once leads have become customers?
How to make data work for your B2B sales team while avoiding common pitfalls in data management
Sayings like “data is the new oil” or “data is a valuable asset” are on everyone’s lips in the age of Big Data. These statements might hide a profound truth, nevertheless. If used rightly, data is worth its weight in gold for a company.