Remove B2B Remove Interactive 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. AI models analyze vast amounts of data quickly and accurately.

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

Smarten

The cost of acquiring and interacting with customers is one a business must fund and, every time the business loses a customer (customer churn), it must spend more money to replace that customer. This technique can be used in banking, financial institutions, utility companies, business to consumer (B2C) and business to business (B2B).

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

Occam's Razor

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. You get a confusing little thing, but the visualization is interactive. The Treemap, Sunburst and Packedcircle demonstrate three possible paths you can take to go from a table to something much more understandable and much more interactive.