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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

There is no disputing that data analytics is a huge gamechanger for companies all over the world. One of the most important is in the field of marketing. Do you know what motivates your customers? Therefore, you need sophisticated customer analytics to analyze complex customer behavior.

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Customer Analytics and AI: Better Together

DataRobot

As noted in this report from Forrester®, “four out of five global data and analytics decision makers say that their firms want to become more data-driven and perform more advanced predictive analytics and artificial intelligence projects. Marketing Mix Optimization. Automation is mostly about efficiency. Next Best Action.

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CCaaS is a Vital Tool for Managing Customer Analytics

Smart Data Collective

Analytics technology has shaped many aspects of modern business. According to a report we cited last year, 67% of businesses with revenues exceeding $10,000 a year use data analytics. One of the most important reasons companies are investing in analytics technology is to improve their understanding of their customers.

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Businesses Discover the Importance of Merging Analytics and Content Marketing

Smart Data Collective

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. When you combine both, you get one of the most formidable and effective marketing strategies ever. Below, we highlight how qualitative and quantitative data can improve our marketing strategy.

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Sisense and Adobe: Custom Analytics + Custom Visuals

Sisense

The Sisense data and analytics platform already gives you unparalleled flexibility when it comes to what you can do with your data as you embed insights into your product. Now, enhanced integration with two heavy-hitter Adobe Creative Cloud programs, XD and Photoshop, takes your ability to create and deploy custom visuals to new heights.

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Mindshare Integrates Predictive Analytics to Deliver Performance Marketing at Scale

DataRobot Blog

Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. As a global media agency network that delivers value in different ways (media investment management, planning and buying, content, creative, strategy, analytics, etc.), Download Now.

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Data virtualization unifies data for seamless AI and analytics

IBM Big Data Hub

Data virtualization bridges this gap, allowing organizations to use their existing data sources with flexibility and efficiency for AI and analytics initiatives. This serves as a single point of reference for analytics, reporting and data-based decisions, resulting in increased accuracy and quicker generation of valuable insights.