operational risk

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By: IBM     Published Date: Oct 13, 2017
Analytics is game-changing and can produce valuable insights from the ever-growing volume, velocity and variety of data. Business Intelligence (BI) provides the foundation for many types of Analytics. It enables companies to deliver exceptional customer experience, enhance marketing effectiveness, increase operational efficiencies, reduce financial risks, improve product quality and reliability, and so on. But businesses are also challenged to generate timecritical actionable insights and make a compelling financial business case for BI investments.
Tags : ibm, cognos analytics, business intelligence, customer experience, marketing
     IBM
By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations. Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
Tags : 
     AWS - ROI DNA
By: Interactive Intelligence     Published Date: Apr 23, 2014
If a contact center executive could have anything, it would be certainty… of contact demand, resource availability, operational efficiency, and of agent performance and customer experience delivery. But certainty in a contact center is nearly impossible, and in the absence of a crystal ball, mathematical models provide the next best thing. They alert, evaluate operational risk, and propose business and resourcing solutions. And now, the best of these models also determine expected experience delivery.
Tags : interactive intelligence, contact center, customer service, customer experience, cost, revenue, telecom, it management
     Interactive Intelligence
By: IBM     Published Date: Sep 10, 2009
With ever-increasing data growth worldwide, organizations must find smarter ways to store and manage their massive volumes of data. Learn how IBM® Tivoli® Storage Management software solutions help to maximize your current storage environment and reduce operational and capital costs while improving service and managing risks.
Tags : storage management, ibm, ibmtivoli, fastback, san, data growth, recovery management, reducing costs, improving service, managing risks, dynamic storage, infrastructure, virtualization, resource management
     IBM
By: HP Service Management     Published Date: Sep 03, 2008
In this first chapter of "The Shortcut Guide to IT Service Management and Automation," you will be led through a step by step analysis of your company's IT and business relationships, providing you with a basis for a strategic plan to turn service lifecycle management into a valuable business asset. Author and compliance expert Rebecca Herold demonstrates how technology acts as a strategic differentiator by enabling business growth, driving operational efficiencies to lower maintenance costs, optimizing outcomes, and reducing IT risks.
Tags : itil, itil v3, bsm, bsa, dca, itsm, it service management, operations, it operations, cmdb, automation, service, service management, service desk, lifecycle, life cycle, hpsm, hp sm, hp service management
     HP Service Management
By: LANDesk     Published Date: Aug 26, 2009
Service management solutions have the potential to return very significant hard-currency ROI. Successful implementations dramatically improve decision accuracy, enhance productivity, increase operating efficiency and reduce operational risk by providing comprehensive context for a wide range of management decisions.
Tags : avocent, itsm, it service management, itil, integration, sla, it infrastructure library, green it, business management, maturity model, best practices, crm, customer relationship management, crm tools, sla
     LANDesk
By: IBM     Published Date: Aug 07, 2012
As a claims management professional, you have to deal daily with formidable - and sometimes competing - challenges: provide superior customer experience; achieve operational excellence and cost containment; and effectively manage risk. Predictive analytics can help you improve each of these three outcomes, but more importantly, it helps strike the right balance among these three objectives for each new claim received. Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved, how embedded analytics improves decision making, and technology components of a predictive analytics solution.
Tags : improving, claims, management, outcomes, predictive, analytics, claims, management, professional, formidable, competing, superior, customer, experience, operational, excellence, cost, containment, risk, predictive
     IBM
By: IBM     Published Date: Aug 08, 2012
With tight budgets, it isn't easy to create the operational dexterity needed to thrive in a competitive marketplace. View this demo to find out how IBM® SPSS® solutions for predictive operational analytics help manage physical and virtual assets, maintain infrastructure and capital equipment, and improve the efficiency of people and processes. By using your existing business information, IBM SPSS software can help you: predict and prevent equipment failures that can lead to disruptive, costly downtime; quickly identify and resolve product quality issues to mitigate risks and reduce warranty costs; optimize product assortment planning to increase revenue, reduce working capital requirements and improve the return on inventory investments; and act to retain your best employees by developing predictive attrition models to identify the workers at greatest risk of leaving the organization.
Tags : ibm, technology, predictive operational analytics, spss
     IBM
By: Tyco Integrated Security     Published Date: Mar 09, 2016
Since 1874, Tyco Integrated Security has consistently provided quality products and services to our customers. From loss prevention to operational and risk management, our ultimate goal is to help you better protect your business and meet your security needs.
Tags : tyco, security, commercial, loss prevention
     Tyco Integrated Security
By: AWS     Published Date: Oct 30, 2018
As cybercriminals look for new ways to break through defenses, it’s vital that organizations have access to real-time operational intelligence across their applications, services, and security infrastructure. As Recreational Equipment, Inc. (REI) migrated applications to Amazon Web Services (AWS), it needed to expand security capacity for edge protection of its AWS VPCs. REI chose Splunk for security monitoring, historical analysis, and data visualization in real time, to help it investigate events and mitigate operational risks.
Tags : rei, intelligent, threat, detection, edge, protection, aws, splunk
     AWS
By: IBM     Published Date: Nov 19, 2014
Risk Management: OpenPages GRC: Operational risk management in the world of big data - Unlocking the value of loss event data and driving the risk-aware enterprise
Tags : ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions
     IBM
By: IBM     Published Date: Nov 19, 2014
Risk Management: General: Partially cloudy: the benefits of hybrid deployment models
Tags : ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions, hybrid deployment, deployment models
     IBM
By: IBM     Published Date: Feb 03, 2015
Find out how banks are increasing customer profitability, improving operational efficiency and managing risk more effectively with IBM Business Analytics software.
Tags : customer profitability, operational efficiency, business analytics, banking, risk management, security, it management, enterprise applications
     IBM
By: IBM     Published Date: Apr 20, 2016
Cloudy with a chance of mishap: How weather insights can help insurers manage risk and drive client value This executive report identifies opportunities for insurance companies to use weather data as an important asset in both managing operational and financial risks, as well as improving customer relationships. It also explores how companies can start using weather data in their day-to-day operations and considers future directions in the use of weather-related information for insurers.
Tags : ibm, insurance, the weather company, ibm institute for business value
     IBM
By: VMware     Published Date: Apr 11, 2011
As your organization deals with constant changes-such as operational growth, expansion from mergers or acquisitions, new business processes, and shifting personnel-your IT infrastructure might not be in a position to recover from a disaster. If that's the case, the entire enterprise may be at risk-and it's probably time to focus on this issue.
Tags : vmware, hp disaster recovery, vmware vsphere 4, business continuity
     VMware
By: ForeScout     Published Date: Nov 16, 2017
"Cyberattacks on Internet of Things (IoT) and operational technology now expose businesses to greater risk. But, with all the security technology available today, we asked ourselves the question, why do they keep happening? ForeScout commissioned Forrester Consulting to see if organizations can adequately and accurately secure their networks with the rise of IoT-connected devices. Read the Report to learn more about the findings.
Tags : 
     ForeScout
By: IBM     Published Date: Jan 08, 2016
This executive report identifies opportunities for insurance companies to use weather data as an important asset in both managing operational and financial risks, as well as improving customer relationships.
Tags : ibm, insurance, financial risk, customer relationships
     IBM
By: IBM     Published Date: Sep 16, 2014
To compete in today’s rapidly changing business environment, organizations need to capture, analyze and act on information rapidly. If they can quickly identify trends, discover patterns and generate new insights, they can address a wide array of strategic and operational goals—from increasing customer loyalty and creating targeted marketing offers to enhancing operational efficiency and reducing risk. In their report, Business Value of Big Data on Power Systems, NC State University talks about unlocking the business value of big data, and how IBM Power Systems can deliver the foundation for organizations to bring insight to the point of impact faster.
Tags : big data, targeted marketing offers, ibm power systems, structured data, data management
     IBM
By: IBM     Published Date: Feb 04, 2016
IBM Operational Decision Manager Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
Tags : analytics, ibm, operational decision manager, operations, brand, data, big data, trends
     IBM
By: IBM     Published Date: Oct 03, 2017
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are: • Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime. • Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets. Download now to learn more!
Tags : scaling data, big data, customer behavior, product usage, data integration
     IBM
By: IBM     Published Date: Jan 02, 2014
"The Cincinnati Zoo & Botanical Garden is one of the nation’s most popular attractions, a Top 10 Zagat-rated Zoo, and a Top Zoo for Children according to Parent’s Magazine. Each year, more than 1.3 million people visit its 71-acre site, which is home to more than 500 animal and 3,000 plant species. Although the Zoo is a non-profit organization and is partially subsidized by Hamilton County, more than two thirds of its $26 million annual budgetis generated through its own fundraising efforts."
Tags : ibm, case study, botanical garden, increase revenues, customer experience, boost sales, effective marketing, effective promotions, optimize labor costs, demand patterns, business analytics, transformation program, zoo management, business impact, operational management, direct benefits, indirect benefits, segmentation, analytic applications, business outcomes
     IBM
By: IBM     Published Date: Mar 31, 2016
"Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action. "
Tags : ibm, ibm operational decision manager, ibm odm advanced, process improvement, business analytics, business insights
     IBM
By: IBM     Published Date: Jul 07, 2016
Now in V8.7 of IBM Operational Decision Manager, IBM ODM Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
Tags : ibm, odm, middleware, ibm operational decision manager, application services, networking, enterprise applications
     IBM
By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
Tags : sas, organizational insights, operationalizing analytics, sas’ information evolution model
     SAS
By: Riverbed     Published Date: Sep 05, 2014
Many organizations have invested in server consolidation, particularly in their data centers. In remote offices, though, servers and storage exist as isolated islands of infrastructure that require management through separate operational processes and procedures. This approach could place data at risk. A new kind of storage architecture allows IT to consolidate remote servers and data in the data center by decoupling storage from its server over any distance—even thousands of miles—and still get the same performance as if the storage remained local to the branch. Organizations can now consolidate remote infrastructure to increase security and ef?ciency, without adversely impacting end-user performance in branch of?ces.
Tags : consolidation, servers, remote, storage, isolated islands, efficiency, security, networking, it management
     Riverbed
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