Remove Customer Analytics Remove Measurement Remove Risk
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Regulations and compliance requirements, especially around pricing, risk selection, etc., A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment. What advances do you see in Visual Analytics in the next five years?

Insurance 250
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AI and Analytics Importance in Automotive Industry

Smart Data Collective

Meanwhile, the aftersales process can be easily automated by detecting if the customer has switched a garage from an official one to an independent one, why it happened and advice on how to mitigate this risk in the future. Customer Analytics. Autonomous and connected vehicles.

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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. For example, an at-risk user Bob with churn score of 0.90

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 9: The Impact of COVID-19 on Consumer Technology & Durables

bridgei2i

He brings deep experience supporting high tech e-commerce and retail clients in the areas of marketing, pre-sales analytics, and web analytics. Prior to that, he led digital and customer analytics engagements at Dell, HP, and GE. And the customers are avoiding the risk of exposure.

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Top five data integration objectives when you do M&A in Gaming / iGaming

BizAcuity

DAU (daily active users), MAU (monthly active users), and ARPU (average revenue per user) are simple KPIs that are easily measured using an analytics platform like Indicative. This knowledge helps ineffective marketing campaigns to build efficient customer relationships. . Enhances Player Retention. Reducing Licensing Cost.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

You can use third-party data products from AWS Marketplace delivered through AWS Data Exchange to gain insights on income, consumption patterns, credit risk scores, and many more dimensions to further refine the customer experience. Your analytics strategy applies to the wider organizational needs, not just C360.

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Mindshare Integrates Predictive Analytics to Deliver Performance Marketing at Scale

DataRobot Blog

To do that, we have expanded beyond intermediary signals, like reach and other delivery metrics, and applied more focus on measurement that is linked to business outcomes—because it allows us to have better and more nuanced conversations. AI in Customer Analytics: Tapping Your Data for Success. Download Now.