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Predictive Analytics Business Use Cases Ensure Results!

Elegant BI

Apply Predictive Analytics to Specific Business Use Cases for Real Results! Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Human Resource Attrition. Predictive Analytics Using External Data.

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Predictive Analytics Use Case: Marketing Optimization!

Elegant BI

Predictive analytics can help a business develop a profile for a target customer and segment, combine external and internal data like macroeconomics and competitive data, and define marketing and advertising messages and techniques for each segment to optimize the marketing budget and improve the competitive advantage.

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Predictive Analytics Use Case: Online Target Marketing!

Elegant BI

To make the most out of online marketing, every organization must target the customers with the most promising profile. Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Human Resource Attrition.

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5 Business Expenses That Data Can Help Reduce

Smart Data Collective

Cost of living is rising; customer acquisition is more difficult than ever in such a competitive landscape; and suppliers are looking to increase their profits by upcharging you, too. Using data, you can identify your resignation rate and commonalities and correlations; use predictive analytics to determine risk of exit; and much more.

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6 Tech Strategies to Optimize Your Recruitment Funnel

Zoominfo

Human resources professionals now rank recruiting and hiring as top concerns , and they are embracing new recruiting technology to meet those demands — tools that may become permanent parts of the HR toolbox. The COVID-19 pandemic hit recruitment and hiring professionals with a massive one-two punch of disruption.

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How Can My Business Use Citizen Data Scientists?

Elegant BI

Citizen Data Scientists may be IT team members who are interested in data science, or they may be candidates who have an interest in learning data analytics or are power users of other software and like to use technology. Businesses and users can get ahead of the curve in the market and enable true collaboration.