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Everything you need to know about Customer Data Platform (CDP)

This whitepaper by HGS Digital on Customer Data Platform Vendor Evaluation provides a detailed look at the 10 broad areas and what questions organizations should ask vendors while evaluating the CDP vendors.

New Study Details Importance of TCO for HPC Storage Buyers

Total cost of ownership (TCO) is often assumed to be an important consideration for buyers of HPC storage systems. Because TCO is defined differently by HPC users, it’s difficult to make comparisons based on a predefined set of attributes. With this fact in mind, our friends over at Panasas commissioned Hyperion Research to conduct a worldwide study that asked HPC storage buyers about the importance of TCO in general, and about specific TCO components that have been mentioned frequently in the past two years by HPC storage buyers.

Enterprise Search in 2025

This white paper by enterprise search specialists Lucidworks, discusses how data is eating the world and search is the key to finding the data you need. The enterprise search industry is consolidating and moving to technologies built around Lucene and Solr. In the next few years we’ll see nearly all search become voice, conversational, and predictive. Search will surround everything we do and the right combination of signal capture, machine learning, and rules are essential to making that work. Fortunately, much of the technology to drive this is available to us today!

The Four Stages of the Data Journey (and how to get ahead)

Where is your organization on the data journey? Most of us are steadily moving toward the
cloud, with most businesses planning to migrate to the cloud or expand their cloud footprint
within a few years. But how do you get where you want to go? In this new whitepaper, our friends over at Matillion, the cloud-native platform for all your data integration, take a look at the different stages of the end-to-end journey and learn what it takes to get to the next level.

Obstacles to AI & Analytics Adoption in The Cloud

Trifacta launched a benchmark report in conjunction with Researchscape: Obstacles to AI & Analytics Adoption in the Cloud, to examine how data workers in the U.S. across industries are handling the increased move of data to the cloud, the time constraints endured when preparing data for analytics, artificial intelligence and machine learning initiatives, and the impact these obstacles have on the overall success of these projects.

Ultimate Guide to Cleaning Data with Excel and Google Sheets

The “Ultimate Guide to Cleaning Data with Excel and Google Sheets” eBook by Inzata Analytics discusses how poor data quality is the kryptonite of good reporting and credible analytics. Managing and ensuring data is clean can provide significant value to any business. This guide details useful steps and tips to cleaning data in a Google […]

Chief Data Officer Survey and Research Results

Exasol released the findings of a survey of nearly 1,000 IT directors in the US, UK and Germany about their organization’s use of data and the role of Chief Data Officers (CDO) in their organizations. The survey found – among other things – that 72% of businesses worry that their inability to generate insights through the analysis of data will have a negative impact on financial performance.

2019 Data Decisions Report by Exasol

Our friends over at Exasol recently released the findings of a survey that asked over 1,000 IT decision makers across the US about how their organizations use data to make critical business decisions, and the obstacles that stand in their way. The 2019 Data Decisions Survey found – among other things – that 57% of […]

insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads

This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.

AI in the Enterprise: Trends & Insights on Vendor Selection and Implementation

A new report was released by our friend over at Leverton, a data extraction startup recently acquired by MRI Solutions, titled “AI in the Enterprise: Trends & Insights on Vendor Selection and Implementation.” The report lends insight into the experiences and preferences of “leaders,” “lookers,” and “laggards” (defined below) when it comes to AI deployment.