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Finding a Holistic Predictive Analytics Approach to Boost Employee Retention

Smart Data Collective

The benefits of predictive analytics for businesses are numerous. However, predictive analytics can be just as valuable for solving employee retention problems. Towards Data Science discusses some of the benefits of predictive analytics with employee retention.

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Fleet Management and Big Data: Points to Consider

Smart Data Collective

Big data eliminates all the guesswork and allows fleet managers to make purely informed decisions. All in all, the concept of big data is all about predictive analytics. Such data is great for introducing revamped maintenance practices. Predictive analytics takes care of both direct and indirect costs.

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The Role of Data Analytics in Football Performance

Smart Data Collective

Understanding the tactical aspects of the game becomes easier with data analysis. This data-driven approach enhances decision-making on the field and increases the chances of success. Enhancing Player Performance through Data Analysis Data collection and analysis have a significant impact on individual player performance.

Sports 210
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Demystifying Reputation Score: A Comprehensive Guide for Businesses

mention

How Reputation Scores are Calculated Reputation scores are calculated using sophisticated algorithms and data analysis. Automated systems crawl through various online platforms, collecting data related to reviews, social media interactions, and mentions. Swift and effective resolutions can mitigate negative impacts.

Business 157
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The Double-Edged Sword Of Big Data In The Criminal Justice System

Smart Data Collective

Two significant applications really stand out the most: Big data is used extensively in criminal justice research. The majority of modern studies on criminal justice topics rely heavily on data analysis. There is no dispute about the significant impact that big data is having on the criminal justice system.

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How Big Data Will Change the Future of Marketing

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Combining data such as demographics, personal preferences, and legal issues attached to buying profiles will highlight your target market. It begins with the collection of ample qualitative data about your audience. Key insights can be collected from transactional, browsing, and customer service data.

Marketing 264
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AI in Biopharma: Use Cases and Considerations

Alpha Sense BI

Further, AI’s predictive modeling algorithms refine drug target validation, thus reducing the attrition rates during the expensive clinical testing phases. In silico trials, powered by AI simulations, researchers can forecast the efficacy and safety profiles of new drugs before they reach human trials.