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Survey on Data Fusion & Analytics for Investigation

To get greater insight into the technological challenges of fusing data for investigation purposes, and to learn from the CIO’s perspective what their wants and needs are in the market – our friends over at Cognyte went straight to the source. By speaking to 200 CIOs, CTOs, IT Directors, Directors of Technology and Heads of Artificial Intelligence, this new report Survey on Data Fusion & Analytics for Investigation takes the pulse of the industry in vital areas from investment priorities to cloud adoption, painting a clear picture of the state of data fusion for investigation purposes today.

Next-Generation of Tableau Brings Advanced Analytics and Automated Insights to Business Users

oday, at the annual Tableau Conference, Salesforce introduced Tableau Cloud, the fast and easy way for customers to get the full value of Tableau at enterprise scale. The offering is the next generation of what was formerly known as Tableau Online and includes several new innovations to deliver intelligent, powerful and easy-to-use analytical tools to help anyone uncover insights, confidently make data-driven decisions, and create a single source of truth for all trusted data, accessible anytime, anywhere.

Synthetic Behavioral Data for Analytics

In this compelling white paper, “Synthetic Behavioral Data for Analytics,” MOSTLY AI makes the case for Synthetic Behavioral Data. MOSTLY AI is the leading synthetic data company globally. Its platform enables enterprises across industries to unlock, share, fix and simulate data.

AI-Augmented Analytics is Transforming Business Intelligence and Simplifying Data Complexity

In this contributed article, Ajay Khanna, CEO & Founder of Tellius, highlights that when it comes to business intelligence and data analytics, AI is a driving a new wave of innovation called augmented analytics that makes it easier for individuals of all technical skill levels to analyze volumes of data to accelerate more valuable business insights. AI and machine learning are transforming industries and improving how we use technology at an amazing pace, whether it’s accelerating drug discovery and therapeutics, allowing us to speak to our home appliances, or using facial recognition on our handheld devices.

The Powerful Combination of Cloud Data Engineering and Analytics Automation

In this sponsored post, our friends over at Trifacta discuss how unlocking the value from data – whether it is in the cloud or on premises – remains out of reach to many. According to an Alteryx-commissioned survey by YouGov, only 12% of workers reported having the benefit of driving business-changing outcomes through self-service analytics. 

High-Performance Computing Essentials … And Why Analytics is Forever Grateful

In this contributed article, editorial consultant Jelani Harper discusses how the basics of High-Performance Computing (HPC) are fairly well known by those acquainted with even a modest amount of computer science. Instead of relying on a single machine for computations, HPC approaches involve multiple machines, which produce two notable effects that directly benefit analytics.

Leading and Organizing Analytics for Success. Here’s What the Emerging Leader of Analytics Will Look Like

In this contributed article, Jack Phillips, CEO and co-founder of The International Institute for Analytics (IIA), discusses the data-driven culture and organizing analytics for success; specifically how the highest performers organizing are adapting their cultures around data and leveraging their analytics capabilities for success and why data literacy will matter so much to enterprise workers going forward.

How Digital Transformation Created a Problem Only Composable Analytics Can Solve

In this contributed article, Roman Stanek, Founder and CEO of GoodData, examines how we shot ourselves in the foot with “digital transformation” and provides a solution to The Data Problem. The solution is right in front of us, and it’s the inevitable next generation of enterprises. Composability turns data overload into data power. Analytics is finally catching up to years of digital transformation, so companies can maximize their ROI on data and empower business users — aka, employee.

From Data Warehouses and Data Lakes to Data Fabrics for Analytics

In this contributed article, Kendall Clark, Founder and CEO of Stardog, discusses how data fabric is fast-becoming the data architecture foundation for analytics and how it is revolutionizing the $50 billion data lakes/warehouse market. Supported by real-word examples, the article explores how technologies such as expressive semantic modeling, knowledge graph, and data virtualization are connecting disparate data lakes to streamline data pipelines, reduce dataops costs and improve analytics insight.

5 Easy Steps to Make Your Data Business Ready

In this contributed article, Ayush Parashar Vice President of Engineering at Boomi, discusses five core components to a strong data strategy so businesses can derive insights from and act on the data. As the uses for data continue to grow, businesses must ensure their data is actually usable.