Artificial Intelligence vs Business Intelligence - What is really self-service business analytics?
The difference between Business Intelligence (BI) and Self-Service BI and why Qymatix Predcitive Sales Software is not a traditional Self-Service BI solution.
2018 said Carlie J. Idoine, Research Director at Gartner:
"The trend of digitalization is driving the demand for analysis in all areas of modern business and administration.”
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.
Artificial intelligence in B2B Sales. New Challenges – New Opportunities.
One interesting read about the use of artificial intelligence in B2B sales.
Artificial intelligence (AI) is gaining relevance in Business-to-Business (B2B) sales. Research shows that investment in the development and integration of AI and, in particular, machine learning, technology is continuing to rise.
More money pours today into AI enterprise projects than ever before. Companies should try to avoid vagueness and lack of focus on their aims and expectations, to prevent the costly failure of their AI developments – too often a cause of failure.
Predictive Sales Analytics in Excel? Yes, you could!
How to do predictive analysis in Excel: One Useful Example of Predictive Sales Analytics & Predictive Modeling in Excel
One of the critical tasks of a sales manager is to timely identify which opportunities have better chances of closing and what makes a “good” sales opportunity. Getting this job right is the essence of successful sales planning.
Key Account Managers in B2B typically serve hundreds of customers and oversee dozens of new and existing sales opportunities. They have limited time and represent one of the most valuable resources any company can have.
Five interesting Facts & Statistics About B2B Distribution
B2B Sales is changing because buyers are changing – mainly in the way they buy. Companies in B2B distribution are particularly affected by the changes in customer behaviour and their competitive environment. The shift in customer behaviour is the primary driven-factor behind the digitalisation of sales.
Are you a sales manager with Big Data? Here are three Predictive Analytics examples for B2B
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.
Lead management top, customer management flop?
How can your B2B sales team take fact-based decisions faster using your CRM and ERP data?
B2b companies are investing in modern lead management. The focus is on the online channel.
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?
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B2B Predictive Analytics - Successful Data Management
How to make data work for your B2B sales team while avoiding common pitfalls in data management
We can associate power with strength, force and influence, but also with destruction and violence - the typical two sides of a coin.
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.
What type of B2B sales will still exist in 50 years?
Will sales jobs still exist in fifty years from now? Will robots take over all sales jobs? How will artificial intelligence redefine sales management? What long-term influence does digitisation have on B2B sales?
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.
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 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).
Business Intelligence in Tools in B2B Sales: Make or Buy?
B2B sales intelligence - should you make or buy your tool?
With the cost of sales sky-rocketing and customers changing their buying behaviour, sales intelligence has become critical to the success of any company.
This situation is especially evident in Business-to-Business, where the cost of sales makes takes the top red of each income statement.
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