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 future events.
Due to big data and advances in technology, predictive analytics is becoming increasingly accurate and can predict events with an astonishing hit rate.
Industrial distribution: Identify potential for cross-selling with predictive analytics
How wholesalers and distributors recognize cross-selling potentials with predictive analytics.
Many manufacturers now sell their products directly to end consumers via web marketplaces. Unfortunately, wholesale trade and industrial distribution are coming under increasing pressure as a result.
Calculating cross-selling potentials using modern data mining can be a suitable strategy for keeping pace with the competition.
A glance at the analyses of the Federal Statistical Office shows that almost 90 % of Germans make online purchases at least once a year.
Why Algorithms Are The Future Of Sales Success
We put our lives in the hands of autopilots regularly. When are we trusting AI with our customer relationships?
Lawrence Sperry was the third son of Elmer Sperry, one of America’s most prolific inventors. Elmer filed 400 individual patents, more than twice the amount of Thomas Alva Edison. Father and son together not only invented together, but they also manufactured and sold their inventions through their companies too.
Lawrence invented the autopilot. He took one of his father’s most famous inventions, the gyrocompass, and developed an automatic flight control system.
How can a classic salesforce get started with predictive analytics?
In the future, it will be all about reading customer data correctly and drawing the right conclusions for customer strategy. That means a paradigm shift for the classic, contract-trimmed salesforce.
Is the classic field salesforce as known to companies and customers - slowly but surely - dying out? The digital transformation, currently the most critical driver of change, suggests this, and it has significant implications for B2B business and for internal processes.
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 prioritize sales leads, discover cross-selling opportunities and to classify text.
To support the efforts of our B2B marketing team, we invested time and resources, developing a machine learning scoring system for our blog content.
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