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Published By: KPMG     Published Date: Jun 10, 2019
Getting complex decisions right across complicated operational networks is the key to optimum performance. Find out how one of the UK’s biggest bus operators is using data and analytics to make better decisions and optimise the use of resources across their network. Read this story to discover: • how data and analytics can transform operational performance • the benefits of using decision-support tools in the middle office • key lessons for getting your plans for digital transformation right.
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KPMG
Published By: MicroStrategy     Published Date: Nov 08, 2019
Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark—meaning more than 70% of people at most organizations are going without access to the critical information needed to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligenceTM helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether it’s a salesperson looking to close a
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark—meaning more than 70% of people at most organizations are going without access to the critical information needed to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligenceTM helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether it’s a salesperson looking to close a
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MicroStrategy
Published By: SAS     Published Date: Nov 08, 2019
Organizations realize they need analytics to run, grow, and differentiate their products and services. More than just driving strategic decision making, they need to incorporate analytics into their high-volume operational and transactional decisions every minute of every day. This means that analytics is no longer just the responsibility of the data science team. Organizations have to continuously deliver analytics into operational systems in a systemic, high-quality and dependable way.
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SAS
Published By: Zendesk     Published Date: Dec 03, 2018
Customer service metrics help us track how well we perform in our primary customer service mission—achieving and maintaining high customer satisfaction. To achieve this mission, we need data to understand our operations and the customer experience. Fortunately, lots of data is available these days. All the metrics for measuring this data are valuable, but which ones do we rely on to effectively measure our success and guarantee that we’re making smart business decisions? Which metrics make the difference when it comes to ensuring customer satisfaction? We’ve created this guide to help your business find those answers.
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Zendesk
Published By: HPE     Published Date: Feb 20, 2015
Imagine an environment where business decisions drive application choices and policy, with no regard for infrastructure, where best practices are implemented based solely on business requirements—and a “guaranteed service level” means just that. The IT of the future will be an elaborate business operation unencumbered by past technology decisions, one capable of providing exact service levels to multiple constituencies while continually optimizing costs.
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HPE
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
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Oracle CX
Published By: SAS     Published Date: Oct 22, 2015
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.
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SAS
Published By: Sage EMEA     Published Date: Jan 29, 2019
Transform your finance operations into a strategic, data-driven engine Data inundation and information overload have burdened practically every largescale enterprise today, providing great amounts of detail but often very little context on which executives can act. According to the Harvard Business Review,1 less than half of an organisation’s structured data is actively used in making decisions. The burden is felt profoundly among finance executives, who increasingly require fast and easy access to real-time data in order to make smart, timely, strategic decisions. In fact, 80% of analysts’ time is spent simply discovering and preparing data, and the average CFO receives information too late to make decisions 24% of the time.2
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Sage EMEA
Published By: IBM     Published Date: Jul 26, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage. The IBM® data replication portfolio is designed to address these issues through a highly flexible one-stop shop for high-volume, robust, secure information replication across heterogeneous data stores. The portfolio leverages real-time data replication to support high availability, database migration, application consolidation, dynamic warehousing, master data management (MDM), service
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ibm, infosphere, data replication, security, data storage
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
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Oracle PaaS/IaaS/Hardware
Published By: SumTotal Systems     Published Date: Oct 10, 2013
If you’re like everyone else in HR today, you’re probably thinking about how your organisation can handle data better. Maybe your executives want the power to make data-driven decisions from comprehensive workforce analytics. Perhaps you’d like to streamline the efficiency of your HR operation or put more actionable information in the hands of your line managers and employees. With the elixHR Platform, you can integrate your HR data and processes so your people can access information quickly and easily, and make better decisions. You can also lower your operational costs because you can increase efficiency and eliminate the need to replace HR systems that you already have in place.
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sumtotal, sumtotal elixhr, sumtotal elixhr platform, elixhr, human resources, hr data, hr processes, hr systems, hr technology, integration, master data management, mdm, mdm technology, talent expansion
    
SumTotal Systems
Published By: Cisco     Published Date: Sep 16, 2015
Help minimize operational expenditures.
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response times, operational expenditures, safety decisions, iot
    
Cisco
Published By: Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017     Published Date: Jul 12, 2017
Deep-dive analytics tools have completely transformed the way many organizations do business—helping remove the guesswork from major areas of operations, and provide everybody with the clear, actionable answers they need to make informed business decisions. The benefits of sophisticated analytics are being reaped across the business. But according to Deloitte, HR is lagging behind— with only 14 percent of companies using analytics in HR, compared to 77 percent using these tools in Operations1.
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human resources, employee engagement, talent management
    
Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017
Published By: Pure Storage     Published Date: Oct 09, 2017
There’s no question about it: purpose-built all-flash storage is an exceptional catalyst for improving data center operations and supporting the transition to the cloud operating model. AFAs’ highly strategic role in both IT and business underscores the need to move storage purchase discussions and decisions beyond the storage team. IT leaders who want to see their organizations reap AFAs’ benefits—performance improvement, productivity gains, and cost savings, among others—should actively define their AFA strategies and oversee storage-related decision making, thus treating storage like the newly strategic asset it has become. To learn more, visit purestorage.com/cloud.
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it infrastructure, operations professionals, digital experience, time to resolution, cloud, pure storage
    
Pure Storage
Published By: HERE Technologies     Published Date: Oct 01, 2019
Rising urbanization and upward of a billion vehicles in operation across the world have brought unprecedented levels of traffic and congestion to our major towns and cities. On the frontline are the emergency dispatchers and responders. Every day, they face complex challenges as they attempt to navigate through congested traffic, unexpected road closures and work zones in a timely manner. It is therefore vital for the real-time information they receive to be as accurate and fresh as possible, so that crucial, split-second decisions can be taken correctly, enabling all designated units to reach the incident location as fast as possible.
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HERE Technologies
Published By: Cisco     Published Date: Nov 18, 2015
The Internet of Things (IoT) stands to benefit a number of key public sector subverticals, particularly public safety, because it will be leveraged to enhance real-time situational awareness, improve response times and safety, function as a force multiplier, help minimize operational expenditures, and facilitate evidence-based operations and real-time safety decisions. The following questions were posed by Cisco to Dr. Alison Brooks, research director, on behalf of Cisco's customers.
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cisco, idc, public safety, iot, internet of things, response time, situational awareness
    
Cisco
Published By: Juniper Networks     Published Date: Oct 02, 2018
Without specific and explicit design decisions about not only the network architecture but also network operations,enterprises risk drifting toward a future of many clouds, each with their own operational nuances. Those who are not mindful about managing new additions increase the complexity of their network with each variation. This white paper discusses how to approach the design of the network and operations in the move from cloud to multicloud. The focus is on meeting the business needs of today and tomorrow, battling complexity, preserving the possibilities for options, and supporting IT’s role as the steward of technology decisions for the business.
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Juniper Networks
Published By: IBM     Published Date: May 28, 2015
This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making.
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decision management, operation decisions, odm, collaboration, ensure security
    
IBM
Published By: IBM     Published Date: Apr 11, 2016
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
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ibm, smarter process, operational decision management, odm
    
IBM
Published By: IBM     Published Date: Apr 11, 2016
In this IBM limited-edition Dummies book, you’ll learn what operational decision management (ODM) is and how it can benefit your organization by helping to: *Enable faster and more agile change so your business can react more quickly to opportunities and threats *Automatically capture knowledge so it can be reused to make better business decisions *Manage compliance better by providing a clear record of the rules that govern business operations *Make operational decisions more predictable and repeatable while also allowing you to model, measure, collaborate on and refine these decisions as your business needs change *Improve customer service with more consistent and accurate rules-based decisions, as well as by personalizing the user experience
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ibm, odm, operational decision management, odm, business operations
    
IBM
Published By: HP     Published Date: Feb 02, 2015
Imagine an environment where business decisions drive application choices and policy, with no regard for infrastructure, where best practices are implemented based solely on business requirements—and a “guaranteed service level” means just that. The IT of the future will be an elaborate business operation unencumbered by past technology decisions, one capable of providing exact service levels to multiple constituencies while continually optimizing costs.
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HP
Published By: MuleSoft     Published Date: Jan 25, 2016
Data is one of the most valuable business assets. Companies are using data to provide more personalized, tailored experiences to their customers, analyzing customer and operational behavior to make better decisions, and providing web and mobile apps to their customers, employees, and partners. As the keys to that data, APIs are poised to become valuable business assets in and of themselves. In this whitepaper, we'll learn how APIs are currently transforming the enterprise, and how they will become even more integral to how we do business in the future.
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data management, business practices, data center. data application, enterprise applications, api management
    
MuleSoft
Published By: IBM     Published Date: Aug 23, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
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ibm, data replication, inventory management, competitive advantage
    
IBM
Published By: IBM     Published Date: Sep 11, 2017
This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making. This book isn’t about offline business intelligence systems. While those systems are very valuable, the focus of this book is on automated decisions that can be executed in real time in conjunction with your business applications and processes.
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odm, management, operation-decision making, intelligence systems
    
IBM
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