business analytics

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Published By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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CA Technologies
Published By: Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017     Published Date: Jul 12, 2017
Relentless digital developments have created the chance for the finance team to become true strategic leaders across the business—but they have also raised expectations and generated new challenges. In this digibook, we explore the growth of cloud, social, mobile and big data, and how smart CFOs are taking advantage. We show how to use your big data analytics and smooth procurement systems as a launchpad to holding your own in the Digital Age. Each chapter is illustrated by examples from successful businesses that have embraced the new ways of working as well as guidance on how to plan for and implement the changes that are right for you.
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data analytics, digital age, digital transformation, cloud, big data, growth
    
Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017
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: athenahealth     Published Date: Sep 05, 2013
Business intelligence analytics streamline the task of gathering critical data across the health care enterprise and turns it into readily accessible, actionable information. Health care business intelligence is a package of software and services that offers clarity on and control over the vast amount of data needed to successfully run a medical organization.
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health care business intelligence, business intelligence, analytics, medical organization
    
athenahealth
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage. Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
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Dun & Bradstreet
Published By: Dun & Bradstreet     Published Date: Apr 21, 2016
When the right approach is applied, analytics can drive more effective marketing strategies. While marketers understand the role analytics plays within the organization, most are not leveraging analytics to really drive enterprise performance. We surveyed 100+ business leaders to understand the state of analytics maturity across today’s leading organizations, uncovering common challenges teams are facing in their quest to use data and analytics to deliver a competitive advantage. What We Uncovered: - 73% of analytic professionals claim to work for an analytically-driven company - Only 42% of companies have a strategy for using analytics across the enterprise - Just 38% of companies share results of their analytic insights outside their department - 81% of organizations rely on 3rd parties for at least some portion of their analysis Download the report to learn how marketers, like yourself, view themselves in light of using analytics to drive their business.
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hoover's, marketing strategies, analytics, data
    
Dun & Bradstreet
Published By: Qlik     Published Date: Aug 12, 2015
The Business Intelligence Survey provides you with well-designed KPI dashboards packed with concise information, which can be absorbed at a glance.
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business technology, qlik, data, big data, analytics, qlikviews, dashboard vendor
    
Qlik
Published By: RelayHealth     Published Date: Apr 01, 2013
RelayHealth's Vice President, Business Analytics, Jason Williams examines how healthcare organizations can better set strategies by focusing on key decision points and adding data from real-time sources to what they have already collected.
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ecosystem, healthcare, real-time data, data, analysis, decision making, business analytics
    
RelayHealth
Published By: IBM     Published Date: Feb 02, 2016
Read this white paper to get an in-depth look at the benefits of embracing a digital business model, and find out how sports teams of all types can use cloud service providers with digital marketing and analytics tools to gain a competitive edge on the marketing playing field.
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ibm, sports, marketing, data, analytics, digital marketing
    
IBM
Published By: IBM     Published Date: May 17, 2016
Analyst Mike Ferguson of Intelligent Business Strategies writes about the enhanced role of transactional DBMS systems in today's world of Big Data. Learn more about how Big Data provides richer transactional data and how that data is captured and analyzed to meet tomorrow’s business needs. Access the report now.
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ibm, intelligent business solutions, big data, transaction data, business analytics
    
IBM
Published By: IBM     Published Date: May 17, 2016
Is your data architecture up to the challenge of the big data era? Can it manage workload demands, handle hybrid cloud environments and keep up with performance requirements? Here are six reasons why changing your database can help you take advantage of data and analytics innovations. 
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ibm, business analytics, business intelligence, data, analytics, database
    
IBM
Published By: IBM     Published Date: May 17, 2016
Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
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ibm, big data, inline analytics, business analytics, roi
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This white paper is written for SAP customers evaluating their infrastructure choices, discussing database technology evolution and options available.
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ibm, always on business, analytics, database, database platform, sap, blu, db2
    
IBM
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: IBM     Published Date: Jun 16, 2015
Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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data center, predictive analytics, data center strategy, resilient infrastructure, cloud computing, social collaboration, business analytics, emerging technologies
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Today, all consumers can obtain any piece of data at any point in time. This experience represents a significant cultural shift: the beginning of the democratization of data. However, the data landscape is increasing in complexity, with diverse data types from myriad sources residing in a mix of environments: on-premises, in the cloud or both. How can you avoid data chaos?
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
Published By: EMC Corporation     Published Date: Jul 07, 2013
Businesses that exploit Big Data to improve strategy and execution are distancing themselves from competitors. The Big Data solution from EMC provides market-leading, scale-outing storage, a unified analytics platform, and business process and application development tools. Together, these allow organizations to draw deeper insights and become a more predictive organization.
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emc, big data, strategy improvement, market leader, scale-outing storage, analytics platform, technology, application development
    
EMC Corporation
Published By: EMC Corporation     Published Date: Jul 07, 2013
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
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enterprises, storage, information management, technology, platform, big data analytics, emc, self service
    
EMC Corporation
Published By: Neustar     Published Date: Aug 20, 2012
Attendees will learn how Arnold Worldwide combined advertising acumen with laser-like analytics to help a big brand build a comprehensive marketing strategy, refine its tactics, and help them understand not only who, within their industry are the best customers but also how to identify growth potential in key segments that are aligned with its business goals.
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segmentation, marketing analytics, brand marketing, consumer analtyics, customer analytics, custom segmentation, market strategy, marketing strategy
    
Neustar
Published By: Workday     Published Date: Jun 05, 2017
Aging HCM technology in many organizations contrasts sharply with the demands of digital business and the future world of work. HR IT leaders should use this strategic roadmap to plan their future HCM technology landscape to leverage the cloud, deeper automation and embedded advanced analytics.
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workday, integrated learning, workplace success, gartner, hcm technology
    
Workday
Published By: Workday     Published Date: Nov 27, 2017
Aging HCM technology in many organizations contrasts sharply with the demands of digital business and the future world of work. HR IT leaders should use this strategic roadmap to plan their future HCM technology landscape to leverage the cloud, deeper automation and embedded advanced analytics
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Workday
Published By: uberVU via HootSuite     Published Date: Jul 08, 2014
The Beginner’s Guide to Social Media Metrics will provide a blueprint for getting started with social analytics.
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hootsuite, social media, social media marketing, social media metrics, insights, business analytics, social metrics, social media data
    
uberVU via HootSuite
Published By: Extreme Networks     Published Date: Feb 10, 2015
Dans cet eBook, nous vous présenterons des cas d’utilisation illustrant comment une solution d’analyse des applications peut être utilisée de manière efficace par le service informatique.
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extreme networks, purview, analyse des applications, sans fil, wifi, solution réseau, solution de business intelligence, business intelligence
    
Extreme Networks
Published By: ClearStory     Published Date: Oct 07, 2014
When it comes to “big data,” Gartner boils it all down to “value.” In their 2014 Cool Vendors for Big Data report, ClearStory Data was among 4 companies profiled. According to Gartner, ClearStory is “for companies looking at big data business intelligence and analytics from a data variety perspective.”
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big data, value, business intelligence, analytics, data variety, data management, data center
    
ClearStory
Published By: Teradata     Published Date: Sep 21, 2015
This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help customer insights (CI) professionals select the right partner for their RTIM needs.
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application management, business analytics, business process management (bpm), cloud applications, desktop management, experian, forrester, integrated cloud solution
    
Teradata
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