EGUIDE:
In this guide, we provide the 10 most important things you need to know about GDPR, and a jargon-buster explanation for some of the key terminology.
EZINE:
In this week's Computer Weekly, we talk to the head of IT at furniture retailer DFS about building trust in data. The vulnerabilities in MOVEit software continue to attract new victims – we assess the impact of the breaches. And we find out how online investigators are trawling social media to gather evidence of war crimes. Read the issue now.
EGUIDE:
As with anything, it is important to start off your CRM initiative on the right foot. The only way to do that is by understanding everything this technology has to offer. From common features to the latest trends, this comprehensive guide breaks down everything you need in order to get started with CRM.
WHITE PAPER:
Access the following white paper to uncover how retail analytics can help you understand your customer and their buying behaviors—ultimately allowing for better decision making and a stronger market awareness.
WHITE PAPER:
The reference solution combines Dot Hill storage solutions, Intel Enterprise Edition for Lustre, and Mellanox Infiniband to deliver a highly scalable and high performance infrastructure for oil exploration computing platforms, as well as other HPC applications.
sponsored by EMC IT Solutions India Private Limited
WHITE PAPER:
This white paper shows that storing data in EMC Isilon Scale-Out network attached storage optimizes data management for Hadoop analytics. Separating data from HDFS clients and storing it in an Isilon cluster provides scalability, efficiency, and workflow flexibility.
EGUIDE:
In this expert e-guide, explore the reasons many businesses are hesitant to put BI systems in the cloud, including security and compliance concerns, and why the time to start evaluating BI in the cloud is now. Read now to discover Wayne Eckerson's top six considerations before jumping into a cloud BI project.
WHITE PAPER:
This resource explores how businesses big and small are navigating the challenges of a big data 2.0 world, and explains how predictive analytics can turn big data into business value.
