Forrester Wave™ – In Memory Database Platforms, Q3 2015
The in-memory database platform represents a new space within the broader data management market. Enterprise architecture (EA) professionals invest in in-memory database platforms to support real-time analytics and extreme transactions in the face of unpredictable mobile, Internet of Things (IoT), and web workloads. Application developers use them to build new applications that deliver performance and responsiveness at the fastest possible speed.
SAP Business Objects Product Brief 2015
SAP solutions empower decision makers with easy access to the business intelligence (BI) they need to make faster, more informed decisions. With one suite for all insights, businesses can support a high standard for enterprise BI. As a result, organizations can boost their collective IQ by giving all users information that can help them become more effective in everything they do.
Tap Into Big Data: A Simpler, More Affordable Approach To Big Data Analytics
In an effort to address the demands for instant answers and deep analytics, today’s IT landscapes have become incredibly complex. Traditional computing systems are proving unable to keep up with the explosive growth in the volume and variety of data. You need a simpler, more affordable approach to unlock the value of all your information for competitive advantage.
IT Simplification With SAP HANA®
This is an excellent overivew explaining the inherent benefits to implementing updated hardware to: 1. Achieve simplicity with new technologies that help dramatically streamline and even replace complex, expensive IT architectures, 2. Uncover value with real-time, ad hoc, self-service, and deep granular analytics for better decision making, 3. Enable breakthroughs that let you reimagine the ways you run your business.
Overcoming Barriers To Data Virtualization Adoption
The challenges of data management are getting exponentially harder. With the ever-increasing quantities, sources, and structures of data – as well as the insurgence of new tools and techniques for storing, analyzing, and deriving deeper insights from this information – data-driven companies continue to evaluate and explore data management technologies that better integrate, consolidate, and unify data in a way that offers tangible business value.
Cisco Data Virtualization – Optimized
Projected Cost Analysis of SAP HANA® Platform
This is a great document for systematically reviewing the cost savings from moving to a more modern SAP HANA platform. It overviews SAP’s commission of Forrester Consulting to conduct a cost-based analysis, utilizing the Total Economic Impact™ (TEI) methodology, and examine the potential cost savings and reduction in total cost of ownership (TCO) that enterprises may realize by deploying the SAP HANA platform. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of the SAP HANA platform on their organizations, purely from the perspective of IT costs and cost reductions.
Cisco Information Server 7.0
The Cisco® Data Virtualization Suite is data integration software that makes your enterprise a more agile business. It lets you quickly build logical business views of data scattered throughout your enterprise and delivers greater insight into your organization. Cisco increases the value of your network and other IT assets, without the long delays of data replication and physical consolidation traditionally required to achieve your goal of a unified view of the business. The Cisco Data Virtualization Suite empowers your organization to achieve profitable growth, risk reduction, productivity, and effectiveness.
Improving Patient Care Through Analytics Congestive Heart Failure (CHF)
With the rapid growth and use of advanced electronic health record (EHR) systems, this has produced an abundance of data previously unavailable for analysis. Currently, many health organizations have reporting systems for operational key performance indicators (KPIs) and regulatory metrics and data warehouse systems for analytics. However, using this increasing information as meaningful knowledge to increase quality of care remains a challenge.
Improving Patient Care Through Analytics Clinical Quality – Blood Utilization
The use of advanced electronic health record (EHR) systems has grown rapidly in the United States. This has created an abundance of data previously unavailable for analysis. Many Health organizations have advanced and now have reporting systems for operational key performance indicators (KPIs), regulatory metrics and data warehouse systems for analytics. However, using this information as meaningful knowledge to increase and target those areas of concerns regarding quality of care still remains a challenge.
POKE – Using Analytics to Reduce Patient Harm
Major events and surgeries are not the only sources of trauma during a hospital encounter. Many small, less invasive events such as shots, line placements, blood draws, and imaging studies happen throughout a patient’s hospital stay. Many of these less traumatic events have the potential to negatively impact patient outcomes by increasing the risk of hospital-acquired infections through skin invasions and exposure to organisms, reducing the patient experience by causing pain and frustration, increasing cost and causing other complications.