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The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization

In a new white paper recently released, 84.51° explains how this innovative data science has become embedded- specifically in three of its missions: Customer Intelligence, Space Strategy and Supply Chain Optimization. 

A Comprehensive Guide to Evaluating Customer Data Platforms (CDPs)

This white paper by our friends over at HGS Digital aims to help you evaluate Customer Data Platform (CDP) vendors on various key areas. Investing in a CDP should be done with a long-term aim – various systems from which the data is imported and systems to which data is  exported may change over time, but the CDP becomes the master repository of data and should be leveraged by the marketing organization for a very long time.

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.

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!

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.

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance

This whitepaper from Imply Data Inc. introduces Apache Druid and explains why delivering real-time analytics on a data lake is so hard, approaches companies have taken to accelerate their data lakes, and how they leveraged the same technology to create end-to-end real-time analytics architectures.

Introducing Apache Druid

This whitepaper provides an introduction to Apache Druid, including its evolution,
core architecture and features, and common use cases. Founded by the authors of the Apache Druid database, Imply provides a cloud-native solution that delivers real-time ingestion, interactive ad-hoc queries, and intuitive visualizations for many types of event-driven and streaming data flows.

Understanding Intention – Using Content, Context, and the Crowd to Build Better Search Applications

This white paper by enterprise search specialists Lucidworks, points out that unlike consumer search, which has become a seamless part of our everyday lives, the enterprise side might as well still be running Windows 95. Imagine if Amazon, Google, or Facebook treated every user the same, regardless of who they are, where they are, what they’re searching for, and what they’ve clicked. Your users expect that same sophistication in their enterprise apps.

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.