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Benefits of Using Analytics to Optimize Your Telemarketing Strategy  

Smart Data Collective

Any company that wants to implement a successful marketing strategy needs to invest in analytics technology. We have talked extensively about the importance of analytics in online marketing, but it can be just as important for traditional marketing strategies as well. Generate More Qualified Leads.

Strategy 101
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Five Proven Lead Generation Strategies to Merge with Data Analytics

Smart Data Collective

A growing number of marketers are using data analytics technology to optimize their lead generation models. One of the most important benefits of using data analytics is that it can improve AI algorithms. But what lead generation strategies can you use in conjunction with your data analytics tools. Create Webinars.

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Smart Businesses Must Invest in Data Analytics for Higher Conversions

Smart Data Collective

The good news is that data analytics technology can help level the playing field. Paying close attention to the right metrics in Google Analytics can help a lot. Various digital marketing strategies would give you with the option of positioning your brand on a global plane. Indeed, there’s one.

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Become More Data-Driven by Evolving Analytics Workloads

CIO Business Intelligence

Find out more about supporting analytics workloads for the new era of AI applications, please download the whitepaper and watch the webinar , presented by Cloudera, Dell Technologies and Intel. Intel® Technologies Move Analytics Forward. Just starting out with analytics?

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4 Tips for Processing Real-Time Data

CIO Business Intelligence

For a detailed look at how the right technology can help turn your organization’s real-time data into revenue, check out the 4 Tips for Processing Real-Time Data paper and watch the webinar. . Intel® Technologies Move Analytics Forward. Just starting out with analytics?

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A Beginner’s Guide to Embedded Analytics and BI

Jet Global

As analytics technology evolves, so do user needs and expectations. Many customers approach us hoping to boost their application’s analytics capabilities, which are often struggling to meet user demand. How Embedded Analytics Boots Data-Driven Applications: The speed at which data comes into organizations is fast and furious.

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Cloudera Data Science Workbench: where innovation meets security, compliance and scale on the road to industrialized AI

Cloudera

What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Learn more about the Cloudera Data Science Workbench for the end-to-end ML workflow at our bi-weekly webinar series featuring live expert demos and Q&A.