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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.

B2B 65
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5 Ways to Use Digital Signage for Data-Centric B2B Companies

Smart Data Collective

However, data analytics technology can be just as useful with regards to creating a successful B2B business. One of the benefits of data analytics in B2B marketing is with using digital signage. For B2B companies, digital signage may not be the first thing that comes to mind when developing a marketing strategy.

B2B 112
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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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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

Cropin Apps, as the name suggests, comprises applications that support global farming operations management, food safety measures, supply chain and “farm to fork” visibility, predictability and risk management, farmer enablement and engagement, advance seed R&D, production management, and multigenerational seed traceability.

B2B 105
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A Complete Guide On How To Set Smart KPI Targets And Goals

datapine

In order to really ensure you are growing and making the most out of your data-driven efforts, it is necessary to implement measurable goals that will allow you to efficiently assess your strategic efforts. KPIs are a type of measurement that helps organizations evaluate their success in different activities and areas.

KPI 152
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Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

to perform B2B operations. Here are the four parameters of Big data: Volume: Volume is the size of data, measured in GB, TB and Exabytes. Variety: Variety signifies the different types of data such as semi-structured, unstructured or heterogeneous data that can be too disparate for enterprise B2B networks. Videos, pictures etc.

Big Data 100
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Challenging Churn with Customer Success Analytics

Sisense

In the B2B subscription economy, we’re all well acquainted with the popular adage: it’s more expensive to acquire a new customer than it is to keep a current customer happy. When it comes to tracking and improving customer churn, it isn’t always intuitive (or fun) to measure your failures. And Mr. Microsoft has a point.