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eBusiness Intelligence White Papers (View All Report Types)
 
NHS Hospitals Treat Patient Data as an Operational Asset, You Should Too
sponsored by SAS
WHITE PAPER: For organizations to use data analytics effectively, they need to understand the deficiencies they're trying to solve and adopt the right tools to tell the right stories. Explore the technology and approaches NHS Trust Boards uses to collect, manage, and analyze both internal and external data, and make better decisions that ensure patient safety.
Posted: 20 Jul 2016 | Published: 28 Feb 2013

SAS

Your guide to bridging the analytics skills gap.
sponsored by SAS
WHITE PAPER: This e-book features of collection of interviews with those who employ and educate analytics talent with the hope of helping your bridge the skills gap in your organization. Inside, you'll learn how managers in a variety of industries have used new analytics programs, and plans for educating future analysts.
Posted: 09 Nov 2016 | Published: 09 Nov 2016

SAS

Achieving a Next-Gen Business Strategy in the Cloud
sponsored by Infor
WHITE PAPER: This resource discusses deploying a ready-to-run ERP cloud platform. With such a deployment you can achieve streamlined management of, and deep visibility into, every aspect of your business.
Posted: 07 Sep 2016 | Published: 30 Jan 2015

Infor

6 Ways Self-Service Analytics Can Help Empower Your Enterprise
sponsored by Every Angle
WHITE PAPER: Read this white paper by business transformation expert Sean Culey to discover 6 benefits of adopting self-service analytics. Learn how self-service analytics saves you time, allows users to be more agile, focuses IT on creating strategic initiatives, and more.
Posted: 24 Oct 2016 | Published: 24 Oct 2016

Every Angle

How to Fight the Big Data Avalanche
sponsored by Micron
WHITE PAPER: This custom white paper explores how to transform your infrastructure based on innovation in storage and memory to align with real-time decision making. Access now to find out how flash technology is helping businesses process big data faster, allowing them to produce highly valuable insights.
Posted: 21 Oct 2016 | Published: 30 Jun 2016

Micron

A Structured Design Approach to Business Process Automation & Custom Software Development
sponsored by Red Hat
WHITE PAPER: Discover how to modernize business automation by capitalizing on advances in software development infrastructure, and incorporate them into a new structured, 6-step design approach that eliminates additional risk.
Posted: 21 Jul 2016 | Published: 21 Jul 2016

Red Hat

See The Leader in the Forrester Business Cloud Intelligence Platforms
sponsored by Birst
WHITE PAPER: This white paper explores how your company can execute a single platform analytics plan that is as inexpensive to launch as it is easy to operate. You'll learn how to utilize a unified BI instance that allows for an unlimited number of tenants, navigate an interactive dashboard, painlessly upgrade your analytics capabilities, and more.
Posted: 14 Sep 2016 | Published: 14 Sep 2016

Birst

Simplifying Fraud Analytics: 10 Steps to Detect and Prevent Insurance Fraud
sponsored by SAS
WHITE PAPER: This white paper outlines 10 steps that offer you the best chance of discovering and stopping fraud in your business. Learn fraud prevention tactics such as preparing your company for big data management, visualizing your data, creating a rules-based system to detect known types of fraud, and more.
Posted: 09 Nov 2016 | Published: 09 Nov 2016

SAS

Critical Capabilities for Business Intelligence and Analytics Platforms
sponsored by Birst
WHITE PAPER: This Gartner report is the definitive guide to understanding which vendors offer the best platform for your specific use case. You'll see how to create a BI program which is completely web-based for ease of access across any hardware, how you can implement an easy-to-access agile analytics network, and more.
Posted: 12 Sep 2016 | Published: 31 Mar 2016

Birst

Introducing Notebooks: A Powerful Tool for Data Scientists
sponsored by IBM
WHITE PAPER: An environment in which data scientists can work collaboratively with multiple stakeholders, in rapid iterations, is key to meeting relentless business demands. Discover ways to help data teams lead the enterprise predictively and proactively.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

IBM
 
 
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