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Published By: Teradata     Published Date: Jun 12, 2013
Until now, huge amounts of data have been ignored or underutilized simply because the tools didn't exist to make sense of it all. The good news is that increasingly sophisticated software is combining with growing computing horsepower to produce new analytics platforms that can handle all types of data from disparate systems Organizations can extract intelligence from their data to significantly outperform their rivals on growth, earnings, and performance.
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unified data architecture, big data, analytics
    
Teradata
Published By: Oracle     Published Date: Jul 31, 2017
Consolidation in the healthcare industry has reached a record pace. The volume of organizational change has generated solid templates and best practices for change management. In addition, technological advances provide opportunities for sophisticated data analytics and systems integrations. By identifying and taking advantage of these technologies, healthcare organizations can increase the odds of successful integrations that result in greater agility decrease their cost base, and improve the quality of care they provide.
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Oracle
Published By: Visier     Published Date: Nov 04, 2014
With workforce analytics, HR professionals can play a more pivotal role in their organizations to help direct senior management and hiring managers in connecting the dots between their company’s overall performance and their investment in their workforce. Workforce analytics empower HR professionals to shift from being an operational function to becoming more of a strategic role within their organization. Workforce analytics uncovers deep insights into workforce data by drilling down into the data and highlighting both patterns of success to be repeated and patterns of failure that could lead to risk and impact. Go from intuition- to fact-based workforce decision-making with this comprehensive guide to workforce analytics. This eBook includes advice on how to get started, tips to ensure successful implementation, and key recommendations for finding the right solution
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visier, workforce analytics, hr metrics, planning
    
Visier
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. The biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation. The increasing volume, variety, and velocity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, and sharing. Download this white paper to find out how you can improve your data preparation for business analytics.
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Waterline Data & Research Partners
Published By: ServiceNow     Published Date: Apr 12, 2017
Read The Total Economic Impact™ of ServiceNow, an April 2017 commissioned study conducted by Forrester Consulting on behalf of ServiceNow, to understand the benefits, costs, and risks associated with the following ServiceNow solutions: IT Service Management, IT Operations Management, and Performance Analytics. The study, commissioned by ServiceNow, covers key findings in these three categories: Modernizing IT Service Management Eliminating Service Outages Optimizing Performance with Real?time Analytics Forrester interviewed seven current ServiceNow customers with years of experience using the solutions identified above. The purpose of the study is to provide potential customers with a framework to evaluate the real world customer experience and economic impact of the Now platform on their organizations.
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operations management, performance analytics, it management, it automation, it ticketing, help desk, service desk, itsm
    
ServiceNow
Published By: IBM     Published Date: Jul 05, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselve
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ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization
    
IBM
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital is also a
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Oracle
Published By: VMware     Published Date: Jun 04, 2019
What started as “digital” transformation has blossomed into a trend that’s driving organizations to become “digital businesses.” Using emerging technologies like analytics, machine learning, and an on-demand approach to delivering IT services, many organizations are moving to a cloud model to implement this transformation. Organizations that leverage the cloud can accelerate product development, speed innovation, and empower workers to be more productive.
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VMware
Published By: Determine (Selectica)     Published Date: Jun 29, 2017
Cloud-based solutions are revolutionizing the way that enterprises conduct business. These web-based versions of common business tools, like analytics or document management tools, retain most or all of the functionality of their desktop versions and provide significant access, customization, and utility to end users. More organizations are ditching on-premises solutions and adopting cloud-based tools, also known as Software-as-a-Service (SaaS), "hosted," or "on-demand" solutions. The are becoming invaluable assets in today's agile and mobile workforce.
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Determine (Selectica)
Published By: IBM     Published Date: Jan 11, 2017
Download this eBook to learn: - How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats - Why Cyber Threat Analysis is the most effective defensive strategy - How analysts benefit from the use of sophisticated data visualization to identify hidden threat relationships and patterns - Why shifting from attack prevention to mitigation is a more practical goal for commercial organizations
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ibm, analytics, public sector, security, cyber threat, cyber threat analysis, risk
    
IBM
Published By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. 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, analytics, ecm, data, big data, information governance
    
IBM
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
Published By: TIBCO Software     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them. We'll also provide a short overview of TIBCO Statistica, an easy-to-use predictive analytics software solution designed to turn big data into your bigg
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TIBCO Software
Published By: Visier     Published Date: Jan 25, 2019
Complementing your investment in Workday, Visier People takes you beyond Workday’s operational reports to strategic excellence. How? Through actionable and proven people analytics that are available today—not someday. Chosen time and again by Global 2000 organizations, Visier’s dedicated people analytics and workforce planning solution, with its all-inclusive subscription model, brings together data from all your transactional HR and business systems— including Workday—so you can: • Answer strategic workforce questions on demand, with credibility • Connect the dots between workforce decisions and business outcomes • Model and forecast your future workforce and its costs
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Visier
Published By: MicroStrategy     Published Date: Jan 23, 2019
The MicroStrategy 2018 Global State of Enterprise Analytics Report, which surveyed 500 decision-makers from around the globe, reveals that leading organizations create a competitive edge through their use of data, with 63% experiencing improved efficiency and productivity, 57% realizing faster, more effective decision making, and 51% achieving better financial performance. Other top benefits include improved customer experiences, improved customer acquisition and retention, and the identification and creation of new revenue streams—all keys to digital transformation. What else did the 2018 report reveal? Read all the insights with both global and geo-specific views here. This infographic shares a few highlights from the new 44-page report which serves as a benchmarking resource for all data-driven organizations.
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MicroStrategy
Published By: MicroStrategy     Published Date: Jan 23, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDC’s Data Age 2025 Report. How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organizations will win with embedded and augmented analytics, HyperIntelligence, collaboration, enterprise AI strategies, and more. This eBook details the transformational technologies data-driven organizations will need to leverage to get and stay ahead in 2019 and beyond, with contributions from thought leaders, including: Mike Gualtieri of Forrester Research Ray Wang and Doug Henschen of Constellation Research Mark Smith and David Menninger of Ventana Research Chandana Gopal of IDC Ronald van Loon, and more. Is your organization ready for the data-driven future? Read 10 Enterprise Analytics Trends to Watch in 2019 today to find out.
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MicroStrategy
Published By: MicroStrategy     Published Date: Apr 11, 2019
The MicroStrategy 2018 Global State of Enterprise Analytics Report, which surveyed 500 decision-makers from around the globe, reveals that leading organizations create a competitive edge through their use of data, with 63% experiencing improved efficiency and productivity, 57% realizing faster, more effective decision making, and 51% achieving better financial performance. Other top benefits include improved customer experiences, improved customer acquisition and retention, and the identification and creation of new revenue streams—all keys to digital transformation. What else did the 2018 report reveal? Read all the insights with both global and geo-specific views here. This infographic shares a few highlights from the new 44-page report which serves as a benchmarking resource for all data-driven organizations.
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Apr 11, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDC’s Data Age 2025 Report. How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organizations will win with embedded and augmented analytics, HyperIntelligence, collaboration, enterprise AI strategies, and more. This eBook details the transformational technologies data-driven organizations will need to leverage to get and stay ahead in 2019 and beyond, with contributions from thought leaders, including: Mike Gualtieri of Forrester Research Ray Wang and Doug Henschen of Constellation Research Mark Smith and David Menninger of Ventana Research Chandana Gopal of IDC Ronald van Loon, and more. Is your organization ready for the data-driven future? Read 10 Enterprise Analytics Trends to Watch in 2019 today to find out.
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MicroStrategy
Published By: MicroStrategy     Published Date: Jun 11, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics to and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. Furthermore, analytics are not always easy for line of b
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MicroStrategy
Published By: FICO     Published Date: Dec 04, 2017
Whether you’re onboarding new customers, cross- or up-selling, getting your supply chain or logistics right, or even collecting unpaid debt, making the best choice of decisions means weighing not just what’s right for your department – but what is best for the business overall. Not to mention what is optimal for your customers and partners. And let’s face it, even with the availability of business intelligence and other analytic tools, it’s hard to know what constitutes the right actions to take in an era where Big Data consistently throws you curveballs. Prescriptive Analytics can help – but for most organizations, there are more questions and concerns than answers about how to implement it successfully. Read our white paper on how Prescriptive Analytics can transform your business decisions and actions – leveraging your existing analytics investment and organizational DNA while helping you drive transparency, customer experience, and profits
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business, results, optimal, customer, experience, tools, analytics, big data
    
FICO
Published By: Juniper Networks     Published Date: Feb 05, 2018
Innovative data-driven strategies are enabling organizations to connect with customers and increase operational efficiency as never before. These new initiatives are built on a multitude of applications, such as big-data analytics, supply chain, and factory automation. On average, organizations are now 53% digital as they create new ways of operating and growing their businesses, according to the Computerworld 2017 Forecast Study. As part of this transformation, enterprises rely increasingly on multivendor, multicloud environments that mix on-premise, private, and public cloud services and workloads. This shift is causing enterprises to increase network capacity; 55% of enterprises in the Computerworld study expect to add network bandwidth in the next 12 months.
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security, automation, savings, technology, cloud
    
Juniper Networks
Published By: IBM Watson Health     Published Date: Nov 21, 2017
The shift to value-based care means that healthcare organizations should expand their concept of return on investment (ROI) to include the ability of solutions to increase efficiency and contain healthcare costs. Data analytics and automation capabilities have become important tools for providers aiming to maximize value-based payments. Learn from this whitepaper about the best ways for healthcare organizations to measure health IT ROI in the value-based environment, including specific examples of how certain providers are approaching this challenge.
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value-based care, healthcare costs, health outcomes, health it, health information technology, hospital performance, operational performance, hospital performance improvement
    
IBM Watson Health
Published By: Seismic     Published Date: May 24, 2019
There's no doubt that intelligence-driven marketing is on the rise. According to Forbes, reliance on marketing analytics to make business decisions has increased from 30% to 42% of the time over the past five years. But as marketing analytics become more prevalent, how do organizations know what matters most, and more importantly, what’s going to show Marketing’s contribution to revenue? In this on-demand webinar, MarketingProfs, Seismic and marketing analytics expert Christopher S. Penn explore the analytics trends that marketers should care about most in the year ahead. You’ll learn: ? The top 5 marketing analytics trends by projected search interest ? How to build the foundation of your 2019 metrics ? How to prepare for massive changes coming to marketing analytics (including AI)
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Seismic
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
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