Remove B2B Remove Predictive Analytics Remove Predictive Modeling
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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

The companies that are most successful at marketing in both B2C and B2B are using data and online BI tools to craft hyper-specific campaigns that reach out to targeted prospects with a curated message. 5) Find improvement opportunities through predictions. A great way to illustrate the operational benefits of business intelligence.

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Let Your Team See the Value of Being a Citizen Data Scientist!

Smarten

The business wants to use predictive analytics to identify those customers who were most likely to leave and develop processes and strategies to improve customer retention and reduce customer churn. Dissatisfied customers often close an account or choose another service provider without explaining their decision. Reduce customer churn.

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Short story #2: Predictive Modeling, Quantifying Cost of Inaction. The work of the New York Times team inspired me it to do some predictive modeling for inaction in our world of digital marketing. Thank goodness for predictive models.