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Introducing OpenText Core Analytics Database: Optimize server costs for cloud data warehousing 

OpenText Information Management

Cloud data warehouses and data lakes offer a powerful way to perform analytics that includes scalability, cost-efficiency, performance, and accessibility. we’re announcing a new analytics cloud database. Data storage and computation are separated in OpenText Core Analytics Database, a revolutionary architecture.

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Sizing Up the Roles of Behavioral Analytics, 'Zero Trust'

Data Breach Today

Security Experts Discuss Authentication Challenges in the Financial Services Sector Improvements in behavioral biometrics and analytics are changing the way many financial services firms approach authentication.

Analytics 192
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Italian Garante Bans Google Analytics

Hunton Privacy

On June 23, 2022, Italy’s data protection authority (the “Garante”) determined that a website’s use of the audience measurement tool Google Analytics is not compliant with the EU General Data Protection Regulation (“GDPR”), as the tool transfers personal data to the United States, which does not offer an adequate level of data protection.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Embedded analytics offers a strategic solution to this challenge. Here’s how.

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Accelerating your transition from traditional BI to advanced analytics with data intelligence

Collibra

What is advanced analytics? The term “advanced analytics” gained widespread recognition in the fields of data analysis and business intelligence (BI) during the early 2000s. Today, advanced analytics encompasses a broad array of techniques and methodologies used to extract deep insights from data.

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Measure adoption with Collibra’s Usage Analytics

Collibra

Last month Collibra launched Usage Analytics. This new realtime adoption analytics dashboard capability allows admins to understand the usage of Collibra and the organization’s knowledge graph among its users. This is exactly the scope of our first version of Collibra Usage Analytics. We’re just getting started.

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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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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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Build Your Open Data Lakehouse on Apache Iceberg

Speaker: Veena Vasudevan and Jason Hughes

By moving analytic workloads to the data lakehouse you can save money, make more of your data accessible to consumers faster, and provide users a better experience. With data stored in vendor-agnostic files and table formats like Apache Iceberg, the open lakehouse is the best architecture to enable data democratization.

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How to Build Data Experiences for End Users

Product managers need to research and recognize their end users' data literacy when building an application with analytic features. End users fall into 4 different categories along the data literacy continuum when it comes to their skill level with data: Data challenged: Users have no-to-low levels of analytics skills or data access.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.