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Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: NTT Ltd.     Published Date: Aug 15, 2019
As businesses are driven to digital transformation by changing market forces and customer expectations, many are looking to new technologies, including new infrastructure environments, as enablers. As a result, we are seeing a near-universal appetite for hybrid outcomes as business functions are executed across multiple on-premises and external infrastructure environments in pursuit of agility, cost, performance and other business benefits. Hybrid IT has become a key strategic imperative for a large portion of enterprises, impacting their IT objectives and expectations, and likely leading to new engagements with service provides for help designing, building and operating hybrid environments.
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NTT Ltd.
Published By: Genesys     Published Date: Jun 11, 2018
When you can anticipate customer needs, you can provide a customer experience that reduces frustration, increases satisfaction and creates better business results. Genesys Altocloud uses live analytics, powered by machine learning, to give you real-time insight into the customer experience. You can anticipate customer behavior, personalize journeys and use feedback to continuously tune your analytics to achieve desired business outcomes. Download the white paper and learn how to make better use of your analytics: • Automate responses that optimize the journey • identify and engage with customers before they contact you • Use predictive analytics and machine learning to drive outcomes
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customer needs, customer experience, customer behavior, customer journey
    
Genesys
Published By: CDW     Published Date: Aug 04, 2016
IT decision-makers at most enterprises understand the benefits that the cloud has to offer: increased agility and more predictable budgeting, among others. In many organizations, in fact, “cloud first” has become the mantra when seeking out new software solutions. But often, enterprises are less clear on the specific use cases of Infrastructure as a Service (IaaS) and how providers can help deliver IT capabilities that meet their needs and help them to achieve desired business outcomes.
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technology, cloud, data, productivity, enterprise, business management
    
CDW
Published By: Progress Software BTA Financial     Published Date: Oct 15, 2008
This Assessment Guide helps you to create a high-level overview for each business-critical application, detailing the context of the application, highlighting risk factors and overall effectiveness of each application. This assessment, in turn, will provide a foundation for further investigation and actions to optimize the outcomes of your business-critical transactions and mitigate risk.
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soa risks, application risks, integration risks, actional, application assessment, progress software, soa infrastructure, soa security
    
Progress Software BTA Financial
Published By: Progress Software BTA Telecommunications     Published Date: Oct 15, 2008
This Assessment Guide helps you to create a high-level overview for each business-critical application, detailing the context of the application, highlighting risk factors and overall effectiveness of each application. This assessment, in turn, will provide a foundation for further investigation and actions to optimize the outcomes of your business-critical transactions and mitigate risk.
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soa risks, application risks, integration risks, actional, application assessment, progress software, soa infrastructure, soa security
    
Progress Software BTA Telecommunications
Published By: Cisco     Published Date: Dec 21, 2016
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Cisco estimates that the Internet of Everything (IoE) — the networked connection of people, process, data, and things — will generate $19 trillion in Value at Stake for the private and public sectors combined between 2013 and 2022. More than 42 percent of this value — $8 trillion — will come from one of IoE’s chief enablers, the Internet of Things (IoT). Defined by Cisco as “the intelligent connectivity of physical devices, driving massive gains in efficiency, business growth, and quality of life,” IoT often represents the quickest path to IoE value for private and public sector organizations. This paper combines original and secondary research, as well as economic analysis, to provide a roadmap for maximizing value from IoT investments. It also explains why, in the worlds of IoT and IoE, the combination of edge computing/analytics and data center/cloud is essential to driving actionable insights that produce improved business outcomes.
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Cisco
Published By: Automation Anywhere APAC     Published Date: May 30, 2019
In this InfoBrief, we discuss the broad impact of digitization and how organizations are utilizing RPA technologies for driving business outcomes. We also share use cases and examples from different sectors, as well as key factors that organizations need to consider when selecting a partner for RPA deployment. Since RPA is the latest buzzword, there is a lot of noise around this topic and we aim to filter the noise and provide key insights, as well as offer essential guidance for successful RPA strategies.
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Automation Anywhere APAC
Published By: Automation Anywhere APAC     Published Date: Aug 15, 2019
In this InfoBrief, we discuss the broad impact of digitization and how organizations are utilizing RPA technologies for driving business outcomes. We also share use cases and examples from different sectors, as well as key factors that organizations need to consider when selecting a partner for RPA deployment. Since RPA is the latest buzzword, there is a lot of noise around this topic and we aim to filter the noise and provide key insights, as well as offer essential guidance for successful RPA strategies.
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analyst, artificial intelligence, intelligent automation, rpa, digital workforce
    
Automation Anywhere APAC
Published By: GoodData     Published Date: Sep 17, 2013
In most cases, starting a BI initiative that’s not clearly linked to specific KPIs or business goals or aimed at addressing a specific pain point is sowing the seeds of eventual project failure. This is why it’s crucial to have the processes and mechanisms in place to establish what the desired outcome would be and to start from there.
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gooddata, business intelligence, data. better data, bigger ideas
    
GoodData
Published By: Attunity     Published Date: Feb 12, 2019
This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries. It assesses the major trends and tips to gain access to and optimize data streaming for more valuable insights. Read this report to learn from real-world successes in modern data integration, and better understand how to maximize the use of streaming data. You will also learn about the value of populating a cloud data lake with streaming operational data, leveraging database replication, automation and other key modern data integration techniques. Download this whitepaper today for about the latest approaches on modern data integration and streaming data technologies.
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streaming data, cloud data lakes, cloud data lake, data lake, cloud, data lakes, streaming data, change data capture
    
Attunity
Published By: IBM Software     Published Date: Jan 25, 2012
Business analytics is the means by which organizations optimize business outcomes. Using insights that can be accessed, shared and acted on by employees at every level, organizations can increase profits, reduce costs, manage risk and make more accurate predictions to prepare for future outcomes. Learn why analytics-driven organizations outperform their peers.
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ibm, cognos, business intelligence, technology, analytics, business analytics
    
IBM Software
Published By: IBM     Published Date: Feb 19, 2015
Optimizing healthcare IT investments for better business and care outcomes.
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business optimization, healthcare it investments, emr, ibm, information technology, practice management
    
IBM
Published By: FICO     Published Date: Sep 02, 2016
Leading businesses have aggressively adopted prescriptive analytics to assess the different outcomes of potential decisions and identify the best one(s) for handling a future scenario. As companies progress their use of advanced analytics, they derive exponentially more value from their data and decisions. These five case studies highlight how five banks are using FICO optimization to boost portfolio profits by 26% or more; increase approved transactions by $100+ million; and even generate 6:1 ROI in just six months.
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prescriptive analytics, fico, advanced analytics, fico optimization, portfolio profits, roi
    
FICO
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : 
big data, ibm, big data outcomes, information governance, big data analytics
    
IBM
Published By: Dell EMC     Published Date: Aug 15, 2017
The all-flash, hybrid & archive storage systems allow customers to take on new, demanding unstructured data apps to achieve faster business outcomes.
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nas storage, storage platform, storage system, data storage, data management
    
Dell EMC
Published By: IBM     Published Date: Jan 20, 2016
Analytics help CFO & finance improve business outcomes
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ibm, data, barrier, cfo, finance
    
IBM
Published By: Cisco     Published Date: Apr 20, 2016
The digital marketplace has created a business imperative that every company be — in some way — a technology company. This means that IT departments are being pulled out of their traditional “gate keeper” role of protecting the core technology infrastructure to collaborate across the enterprise to drive business outcomes.
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cisco, marketing, infrastructure, enterprise
    
Cisco
Published By: HP Ecommerce     Published Date: Aug 31, 2015
This July 2015 Forrester Research report is provided compliments of HP. Modern application delivery leaders realize that their primary goal is to deliver value to the business and its customers, faster. For many, this is a significant shift from the past, when they primarily focused on cost control and efficiency. Today, they must connect the work they do and the results they produce to business outcomes. To do this, application development and delivery (AD&D) leaders use a new set of metrics that help them monitor and improve the value they deliver, based on feedback from business partners and customers. In this report, we highlight these new metrics that connect business outcomes to app delivery performance — as well as the practices and tools that modern application delivery teams and their AD&D leaders use to collect and report them.
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HP Ecommerce
Published By: MuleSoft     Published Date: Jul 13, 2018
"The enterprise world is changing faster than ever. To compete, it is now necessary to do business at an almost unprecedented size and scale. In order to achieve this scale, winning companies are establishing digital platforms that extend their organizational boundaries. But what is the right way to build these platforms? Read this whitepaper to discover: -Why establishing a digital platform is important for today's hyper-competitive business environment -How to build a digital platform by creating and integrating APIs -Case studies of how organizations built digital platforms and the successful outcomes they experienced"
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MuleSoft
Published By: Workday     Published Date: Oct 13, 2017
This new Harvard Business Review Analytic Services report sponsored by Workday explores companies’ strongest catalysts for change, as well as desired business outcomes. The study looks at how the C-suite is driving successful change within the midmarket and integrating systems to improve planning and collaboration.
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Workday
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