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Data Analytics: 3 Critical Questions

Data Breach Today

EY's Maryam Hussain on Launching a Successful Project Launching a successful data analytics project requires asking three critical questions, says Maryam Hussain, partner, forensic and integrity services at Ernst & Young in the U.K.

Analytics 347
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Censys Gets $75M to Grow Globally, Spend on Cloud, Analytics

Data Breach Today

New Capital, Debt Funding Will Help Censys Analyze History of Vulnerable Data A threat hunting and exposure management startup led by ex-OneLogin CEO Brad Brooks received $75 million to invest in cloud and analytics and growing globally.

Analytics 266
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Cybercriminals Reportedly Created Blockchain Analytics Tool

Data Breach Today

Researchers Say the Tool Is Designed To Help Gangs Launder Bitcoin Cybercriminals have developed a blockchain analytics tool on the darknet that could help a gang launder illegally obtained bitcoin, and they are actively marketing it, according to the cryptocurrency analytics firm Elliptic.

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Italian Watchdog Says Google Analytics a Privacy Violation

Data Breach Today

Absence of Trans-Atlantic Data Framework Converts Analytics Tool Into a Risk Italy joined France and Austria in warning domestic companies to shy away from Google Analytics. The decision by the Italian data protection authority highlights ongoing legal uncertainty trans-Atlantic transfers of commercial data.

Analytics 272
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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. 9 questions to ask yourself when planning your ideal architecture.

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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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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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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Think your customers will pay more for data visualizations in your application? 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.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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4 Approaches to Data Analytics for Your Application

Selecting the right solution for your embedded analytics is crucial to the success of your application. Learn about the different approaches to analytics and the pros and cons for each. But with so many solutions and vendors, how do you make this critical selection?

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics.

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The Definitive Guide to Predictive Analytics

The world’s favorite applications use predictive analytics to guide users—even when they don’t realize it. No wonder predictive analytics is now the #1 feature on product roadmaps. By embedding predictive analytics, you can future-proof your application and give users sophisticated insights.

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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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Insiders Guide to Self-Service Analytics

Your application’s users are as unique as their data needs. So, give your users the flexibility to truly explore data. Self-service analytics are vital for how your users interact and engage with your application. You’ll learn: The reasons why end users demand customizable self-service analytics.