A network of digital twins visually communicates information about products, manufacturing, supply chain, service, and customers for program, scenario, and role-based analysis, and ultimately better collaboration across your business network.
Quickly see differences between brands like Avaya, Mitel, Cisco, ShoreTel, 8x8, Panasonic, etc and compare over 94 phone systems by 52 brands for small to big business. Our latest Spring 2010 edition of the chart also compares PBX and Business VoIP systems side by side so you can make an educated comparison of your options. This analysis is prepared in an easy to use Excel spreadsheet so you can edit and add information to suit your analysis and presentation needs.
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
Published By: Oracle CX
Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s
databases, accessing and using the right information at the right time has
become increasingly critical. Real-time access and analysis of operational
data is key to making faster and better business decisions, providing
enterprises with unique competitive advantages. Running analytics on
operational data has been difficult because operational data is stored in row
format, which is best for online transaction processing (OLTP) databases,
while storing data in column format is much better for analytics processing.
Therefore, companies normally have both an operational database with data
in row format and a separate data warehouse with data in column format,
which leads to reliance on “stale data” for business decisions. With Oracle’s
Database In-Memory and Oracle servers based on the SPARC S7 and
SPARC M7 processors companies can now store data in memory in both
row and data formats, and run analytics on their operatio
Published By: IBM APAC
Published Date: Apr 27, 2018
To make the best treatment decisions, doctors at Memorial Hermann required rapid, reliable access to patients medical records and fast insight into changing health indicators. Deploying IBM FlashSystem, physicians at Memorial Hermann can now rapidly access healthcare information and perform sophisticated analysis to identify early signs of illness and take appropriate action for patients 99% faster.
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains:
What data virtualization is and its benefits
When and when not to use data virtualization
How to deploy data virtualization to benefit your business
How to unlock the value of your SAP data
Over the past decade, businesses have made tremendous investments in information
capture, storage, and analysis. But having a wealth of data isn’t the same as having
valuable information. TIBCO®
Data Virtualization products and services provide a way
to turn your data stores into valuable information that improves decision-making and
propels experimentation and innovation. This paper explains:
•?What data virtualization is and its benefits
•?When and when not to use data virtualization
•?How to deploy data virtualization to benefit your business
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •? What data virtualization is and its benefits •? When and when not to use data virtualization •? How to deploy data virtualization to benefit your business •? How to unlock the value of your SAP data
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. TIBCO® Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •? What data virtualization is and its benefits •? When and when not to use data virtualization •? How to deploy data virtualization to benefit your business
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics.
To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
Data breaches have become a fact of life for organizations of all sizes, in every industry and in many parts of the globe. While many organizations anticipate that at some point a non-malicious or malicious data breach will occur, the focus of this study is to understand the steps organizations are taking—or not taking--to deal with the aftermath of a breach or what we call the Post Breach Boom.
Sponsored by Solera Networks, The Post Breach Boom study was conducted by Ponemon Institute to understand the differences between non-malicious and malicious data breaches and what lessons are to be learned from the investigation and forensic activities organizations conduct following the loss or theft of sensitive and confidential information. The majority of respondents in this study believe it is critical that a thorough post-breach analysis and forensic investigation be conducted following either a non-malicious or malicious security breach.
As social media use has grown, an urgent need has emerged to correlate the information generated through social data with existing consumer information, and integrate it with sophisticated data management systems. This white paper describes how organizations can blend social insights with more-traditional data in an integrated customer data hub to optimize social strategies and create outreach efforts, new products, and campaigns grounded in real-time, repeatable, automated, and scalable analysis.
Published By: Riverbed
Published Date: Jul 17, 2013
Riverbed® Cascade Shark provides continuous, high-speed packet capture to ensure that packet-level information is available when needed for granular, real-time and post-event forensic analysis. Based on high-performance 1GbE and 10GbE capture cards, Cascade Shark is capable of sustained line-rate, multi-gigabit per second recording of network traffic.
Making key decisions that improve business performance requires more than simple insights. It takes deep data discovery and a keen problem solving approach to think beyond the obvious. As a business leader, you ought to have access to information most relevant to you that helps you anticipate potential business headwinds and craft strategies which can turn challenges into opportunities finally leading to favorable business outcomes.
WNS DecisionPoint , a one-of-its kind thought leadership platform tracks industry segments served by WNS and presents thought-provoking original perspectives based on rigorous data analysis and custom research studies. Coupling empirical data analysis with practical ideas around the application of analytics, disruptive technologies, next-gen customer experience, process
transformation and business model innovation; we aim to arm you with decision support frameworks based on points of fact.
Gartner's “2017 Critical Capabilities for Security Information and Event Management” report assesses eight SIEM capabilities against the increasingly complex vendor landscape. The conclusion? Splunk had the highest score in the Security Monitoring use case.
We believe customers rely on Splunk’s advanced security analytics capabilities to meet their SIEM and security intelligence needs — improving threat detection, investigation and time to remediation. It’s proven to help with compliance and incident reporting, automated alerting of common security events and historical analysis for detected incidents.
CISOs, CIOs, and security and risk leaders should download Gartner’s annual report to make the best-informed buying decision for security and learn about Splunk’s leadership position in the market.
This white paper is intended for:
• Potential users such as analysts and investigators who want information about i2 Analyst’s Notebook Premium and the benefits it provides
• System administrators who wish to gain a high-level understanding of the product and the system prerequisites that are needed to install and run the application
• Users who wish to learn how to exploit the maximum value of i2 Analyst’s Notebook Premium.
This document provides an overview of the i2 Analyst’s Notebook Premium product. For more information on product features and capabilities in specific versions visit: ibm.com/smartercities.
Keeping the lights on in a manufacturing environment remains top priority for industrial companies. All too often, factories are in a reactive mode, relying on manual inspections that risk downtime because they don’t usually reveal actionable problem data.
Find out how the Nexcom Predictive Diagnostic Maintenance (PDM) system enables uninterrupted production during outages by monitoring each unit in the Diesel Uninterrupted Power Supplies (DUPS) system noninvasively.
• Using vibration analysis, the system can detect 85% of power supply problems before they do damage or cause failure
• Information processing for machine diagnostics is done at the edge, providing real-time alerts on potential issues with ample of lead time for managers to rectify
• Graphic user interface offers visual representation and analysis of historical and trending data that is easily consumable
Employees leverage information and analysis that bring relevance to communications with the goal
of removing waste, working more efficiently, and bringing the full weight of their company to every
The impact of information is changing and while this change provides great opportunities, it also presents greater risks. Traditional monitoring processes and technology advancements alone no longer deliver effective identification, management, and prevention of business risks, instead the changing impact of information demands early detection and root cause analysis. Learn how leading companies are magnifying exploitation of information security risks, along with advancing identification and protection of compliance risks.
Published By: Datawatch
Published Date: Feb 03, 2016
Some companies estimate that up to 80 percent of their analysts’ time is spent on data preparation. Thorough, automated data preparation, however, can quickly transform raw information into reliable, consistent data sets ready for analysis. This report from Gartner details why information management and business analytics leaders must introduce data preparation into their big data initiatives in order to improve both the understanding of the data, and the productivity of analysts. Read the report now to learn more.
IBM® i2® Analyst’s Notebook® provides rich visual analysis capabilities that help to quickly turn complex sets of disparate information into high-quality, actionable intelligence. It is designed to help analysts, and others involved in intelligence analysis, identify, predict, and prevent criminal, terrorist and fraudulent activities.
As the information age matures, data has become the most
powerful resource enterprises have at their disposal. Businesses
have embraced digital transformation, often staking their
reputations on insights extracted from collected data. While
decision-makers hone in on hot topics like AI and the potential of
data to drive businesses into the future, many underestimate the
pitfalls of poor data governance. If business decision-makers can’t
trust the data within their organization, how can stakeholders and
customers know they are in good hands? Information that is not
correctly distributed, or abandoned within an IT silo, can prove
harmful to the integrity of business decisions.
In search of instant analytical insights, businesses often prioritize data
access and analysis over governance and quality. However, without
ensuring the data is trustworthy, complete and consistent, leaders
cannot be confident their decisions are rooted in facts and reality
The security information and event management (SIEM) market is defined by the customer's need to analyze event data in real time for the early detection of targeted attacks and data breaches, and to collect, store, analyze, investigate and report on event data for incident response, forensics and regulatory compliance. The vendors included in our Magic Quadrant analysis have products designed for this purpose, and they actively market and sell these technologies to the security buying center.
Component Content Management: A New Paradigm in Intelligent Content Services
While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information