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.
EBOOK:
This practical guide offers insight and advice to help you build a successful big data plan. Read on to learn how you can conquer the challenges and capitalize on the opportunities of big data.
PRESENTATION TRANSCRIPT:
Many companies are finding that legacy business intelligence (BI) tools are hindering their ability to obtain the real-time insight needed to remain competitive in today's market. Read this transcript to learn how one company overcame this challenge by implementing a BI tool that reduced their reporting development time from months to days.
WHITE PAPER:
This brief resource examines the business impact of big data, and explores how a next-generation analytics platform helps reduce costs and fuel smarter decision-making.
WHITE PAPER:
Despite what some technology vendors might have you believe, big data isn't limited to data warehouse scenarios. This resource examines the growing prevalence of big data and explains how leading organizations are using all of this information to drive business success.
WHITE PAPER:
The following white paper addresses the challenges with expansion and how to overcome them. Discover cost-effective ways to choose from turn-key deployment and keep pace with the rapid growth of user data.
WHITE PAPER:
Access this brief resource today to learn about a platform that makes reliable, trusted business intelligence (BI) data available in familiar Microsoft Office applications – giving you a single, trusted version of the truth.
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.
WHITE PAPER:
This white paper explores the relationship between developments in the way the legal profession locates, identifies and recovers today's new breed of digital evidence, and the ever-growing amounts of data organizations are expected to store. Read now to learn more.
