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The top 15 big data and data analytics certifications

CIO Business Intelligence

CompTIA Data+ The CompTIA Data+ certification is an early-career data analytics certification that validates the skills required to facilitate data-driven business decision-making. The exam consists of 90 multiple-choice and performance-based questions administered via Pearson VUE. The credential does not expire.

Big Data 126
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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.

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Consider the Benefits of Augmented Analytics

Smarten

FreeCodeCamp reports success in augmented analytics across many industries and business functions, including Retail, Manufacturing, Healthcare, and Financial Services. Benefits for the IT Team Self-Service analytics best practices include a roll-out to business users and that requires a new perspective on data governance and on user access.

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DataRobot and Snowflake Healthcare Campaign

DataRobot

. — Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities. . – Public sector data sharing.

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Silver Sponsor ElegantJ BI Demonstrates Smarten Analytic at Gartner Data & Analytics Summit, June 5-6, Mumbai, India

Smarten

Smarten Augmented Analytics represents the evolution of the ElegantJ BI approach to business intelligence, and the significance of self-serve data preparation, smart visualization, and assisted predictive modeling.

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How to Leverage Data Analytics in the Hospitality Industry

Alation

The hospitality industry generates vast amounts of data from various sources, including customer bookings, transactions, loyalty programs, social media, and guest feedback. For example, hotels can use data analytics to identify booking patterns and optimize room rates, inventory, and staffing levels.

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How to Leverage Data Analytics in the Hospitality Industry

Alation

The hospitality industry generates vast amounts of data from various sources, including customer bookings, transactions, loyalty programs, social media, and guest feedback. For example, hotels can use data analytics to identify booking patterns and optimize room rates, inventory, and staffing levels.