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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.

B2B 64
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Customer Retention Dashboard & Metrics Examples For Modern Companies

datapine

A customer retention dashboard and metrics depicted in a neat visual will help you in monitoring, analyzing, and managing multiple customer-centric points and how they echo in your business. A professional dashboard maker can help in the process, but let’s see this through some visual examples of customer retention.

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An Overview of Sales Analytics in Event Industry

BizAcuity

Sales Analytics is used to determine the success of the previous sales drive and forecast in addition to determine how future sales will fare. Sales analytics enables the event management team in visualizing their target list and then segmenting it by industry, size and other data metrics.

Sales 67
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28 Sales Reports Examples You Can Use For Daily, Weekly or Monthly Reports

datapine

Visualize and communicate your findings : the most important part, once you have analyzed and dug out insights from your data, is to convey this information to your audience. Visualize the data to communicate it better. Hereafter are some examples of B2B and retail KPIs you can track in this sales reporting template.

Sales 264
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KPI Management And Best Practices: How To Find The Perfect KPI Solutions?

datapine

Catchy headlines, backlinks to relevant influencer content, the seamless placement of a numbered or bulleted and visuals are some of the key drivers of successful digital content. Offer online data visualization tools that are clear, concise, and tell a story. Finance: How do we handle the company’s assets?

KPI 221
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Reference guide to analyze transactional data in near-real time on AWS

AWS Big Data

Data analysis and visualization After the data pipeline is set up, the last piece is data analysis with Amazon QuickSight to visualize the changes in consumer behavior. In a single data dashboard, QuickSight can include AWS data, third-party data, big data, spreadsheet data, SaaS data, B2B data, and more.

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Position2’s Arena Calibrate helps customers drive marketing efficiency with Amazon QuickSight Embedded

AWS Big Data

The team brings deep domain expertise in digital, B2B, B2C, analytics, technology, mobile, marketing automation, and UX/UI domain. We pull data from the various sources, then use Snowflake as a database and QuickSight as our visualization tool.