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Optimize Your Hiring Process With Recruitment Analytics

Hacker Earth Developers Blog

Data analytics in recruitment plays a significant role since it provides insights and information to help make hiring decisions. Furthermore, recruiting analytics is used to optimize the recruiting process, such as finding the most effective sourcing channels and determining which individuals are most likely to succeed in a specific post.

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How Embedded Analytics Can Transform Future Businesses

DevOps.com

It’s no secret that big tech companies like Google, Amazon and Netflix are not only leveraging data but also delivering embedded analytics and insights as a standard functionality of their software, services, applications and toolkits. The analytics appear to consumers as recommendations, usage habits and other helpful information.

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Consider Performance, Growth & Budget When Buying Data Analytics

DevOps.com

So, your business needs to invest in data analytics technology to improve efficiencies, competitive advantage or business outcomes. Growth – The need to accommodate success, as well as deal with […] The post Consider Performance, Growth & Budget When Buying Data Analytics appeared first on DevOps.com.

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Accelerate Analytics for All

Cloudera

What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.

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Palantir: Revolutionizing big data analytics

CTOvision

and its products like Gotham, Foundry, and Apollo on his blog : A brief background on Palantir – it is typically described as a company that focuses on big data analytics by writing software that enables effective analysis against complicated, data-driven problems. Read Jeremiah Lam’s commentary about Palantir Technologies, Inc.

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Google Analytics Migration: Your Questions Answered

TechSoup

If you're a Google Analytics user, you are probably aware by now that support for Universal Analytics (UA) will be ending on July 1, 2023. This means that users will have to transition entirely to Google Analytics 4 (GA4) before this date and export any reports or data they want to keep within the six months after support for UA ends.

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Blueprint to Modernize Analytics

As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. The longer you wait to modernize your application’s analytics, the harder you’ll eventually feel the pain of lost customers and missed revenue. Download the eBook to get started today!

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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The Definitive Guide to Embedded Analytics

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. 4 common approaches to analytics for your application.

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7+ Graphics Libraries to Enhance Your Embedded Analytics

If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond. This e-book details a number of graphics libraries plus a few bonus tools to modernize your embedded dashboards.

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Predictive Analytics 101: Your Roadmap to Driving Key Product Decisions

Speaker: Sriram Parthasarathy

Predictive analytics is an increasingly common buzzword with many forms. What does predictive analytics really mean? You'll learn: The definitions of common industry terms including predictive analytics, advanced analytics, and more. Why every application that fails to talk about the future is at risk of getting replaced.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing.

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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Turning embedded analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Proven approaches to achieving analytics maturity.