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.
The Powerful Combination of Cloud Data Engineering and Analytics Automation
March 21, 2022 by Leave a Comment
High-Performance Computing Essentials … And Why Analytics is Forever Grateful
January 29, 2022 by Leave a Comment
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
January 19, 2022 by Leave a Comment
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
December 22, 2021 by Leave a Comment
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
December 3, 2021 by Leave a Comment
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
November 13, 2021 by Leave a Comment
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.
Coming Next in Smart Farming Agronomy —Digitizing the Microbiome
September 11, 2021 by Leave a Comment
In this contributed article, Bob Gunzenhauser, Agronomy Science Manager for Granular, part of Corte, explores how AI-driven tools are digitizing the soil microbiome and will eventually become another layer of data to drive precision farming. Bob shares his insights as a fifth generation farmer in Iowa who has been involved in the development of Decision Agriculture over the last 25 years, from its early days of yield monitors to today’s predictive analytics and crop modeling.
Why Modeling Languages are the Key to Data-Based Decision Making
August 2, 2021 by Leave a Comment
In this contributed article, Angshuman Guha, CEO and Co-Founder of bipp, discusses how businesses are now looking at data in different ways, with CIOs forecast to spend more on data and business analytics than any other technology. This creates an urgent need to build trust in the data to realize the return on this investment. Data modeling languages ensure everyone uses the same vocabulary to represent critical KPIs and data. They improve data quality, collaboration, productivity while reducing inconsistencies, which all lead to trust.
ITOps and Big Data Come of Age
July 30, 2021 by Leave a Comment
In this contributed article, Bhanu Singh, SVP of Engineering and DevOps at OpsRamp, discusses how there are new demands on IT operations to deliver more inclusive data intelligence that can support decision-making at large across IT and the business. ITOps teams have a growing mandate to positively influence business and customer-related outcomes; their ability to collect, analyze and use data to support many types of decision-making is now top-of-mind.
Book Excerpt: Minding the Machines
July 10, 2021 by Leave a Comment
The following article is an excerpt from the new book Minding the Machines: Building and Leading Data Science and Analytics Teams by AI and analytics strategy expert Jeremy Adamson, published by John Wiley & Sons, Inc. Organize, plan, and build an exceptional data analytics team within your organization
