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business analytics

Results 301 - 325 of 903Sort Results By: Published Date | Title | Company Name
Published By: Eloqua     Published Date: Jan 13, 2012
An emphasis on measurement has become part of the job description for most marketers in the current business climate. The results of this 2011 survey highlight the connection between analytics and contribution to revenue, illustrating the trends in marketing metrics.
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marketing measurement, revenue performance, marketing analytics, marketing revenue, marketing automation, revenue performance management, marketing metrics, lead nurturing, revenue creation
    
Eloqua
Published By: StreamSets     Published Date: Feb 13, 2019
Enterprise analytics has quickly evolved from a centralized business intelligence function for historical reporting and dashboards to a democratized capability where anyone can access, analyze and act on all available information, often in real-time while employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
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StreamSets
Published By: Oracle     Published Date: Jul 27, 2015
Analytics are changing how every company department does business. However, most HR departments are struggling to fully take advantage of analytics to unlock the true potential of their workforce.
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hr analytics, hr departments, workforce, human resources, management requests, hr management, quality employees
    
Oracle
Published By: CA Service Assurance     Published Date: May 15, 2011
Evolving to the next level of IT effectiveness requires a new level of integration and analysis of cross-silo management information. This involves linking application status and root-cause information with infrastructure status and relating that to impact on IT service quality. Read this brief to learn how this approach to IT management can benefit your organization.
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it operational efficiency, cross-silo, infrastructure status, it service quality, it management, business service analytics, reporting, productivity, service management
    
CA Service Assurance
Published By: Genpact     Published Date: Jul 30, 2012
Tough economic conditions have made today's business environment more competitive than ever before.
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business process management, analytics, genpact, productivity, project management
    
Genpact
Published By: SAP Inc.     Published Date: Jul 28, 2009
Decision-making is at the core of all business activity, as executives set strategy and manage operations by weighing a vast array of factors to arrive at the desired balance of risk and reward. The enormous growth of companies' size and operations in recent years-particularly across borders-is making this process increasingly complex. It is cause for alarm, then, that executives themselves perceive the quality of decision-making at their companies as mixed at best.
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sap, business intelligence, dashboards, analytics, decision-making, enterprise applications, platforms
    
SAP Inc.
Published By: Pentaho     Published Date: Mar 08, 2016
If you’re evaluating big data integration platforms, you know that with the increasing number of tools and technologies out there, it can be difficult to separate meaningful information from the hype, and identify the right technology to solve your unique big data problem. This analyst research provides a concise overview of big data integration technologies, and reviews key things to consider when creating an integrated big data environment that blends new technologies with existing BI systems to meet your business goals. Read the Buyer’s Guide to Big Data Integration by CITO Research to learn: • What tools are most useful for working with Big Data, Hadoop, and existing transactional databases • How to create an effective “data supply chain” • How to succeed with complex data on-boarding using automation for more reliable data ingestion • The best ways to connect, transport, and transform data for data exploration, analytics and compliance
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data, buyer guide, integration, technology, platform, research, enterprise applications
    
Pentaho
Published By: Pentaho     Published Date: Apr 28, 2016
Today, the need for self-service data discovery is making data governance a charged topic. As business-driven data discovery emerges as a fundamental need, the ability to ensure that data and analytics are trustworthy and protected becomes both more difficult and more imperative. This research explains how to manage the barriers and risks of self-service and enable agile data discovery across the organization by extending existing data governance framework concepts to the data-driven and discovery-oriented business. You’ll learn: - The implications of the "freedom vs. control" paradox - How to design for iterative, "frictionless" discovery - Critical checkpoints in data discovery process where governance should be in place
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pentaho, governed data, data and analytics, governance framework, freedom vs control, frictionless discovery, networking, it management, wireless, enterprise applications, data management, business technology
    
Pentaho
Published By: Pentaho     Published Date: Apr 28, 2016
As data warehouses (DWs) and requirements for them continue to evolve, having a strategy to catch up and continuously modernize DWs is vital. DWs continue to be relevant, since as they support operationalized analytics, and enable business value from machine data and other new forms of big data. This TDWI Best Practices report covers how to modernize a DW environment, to keep it competitive and aligned with business goals, in the new age of big data analytics. This report covers: • The many options – both old and new – for modernizing a data warehouse • New technologies, products, and practices to real-world use cases • How to extend the lifespan, range of uses, and value of existing data warehouses
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pentaho, data warehouse, modernization, big data, bug data analytics, best practices, networking, it management, wireless, platforms, data management, business technology
    
Pentaho
Published By: Success Factors     Published Date: Feb 22, 2012
Is your paper-based performance management process holding your company back? See for yourself how automating your outdated talent and performance management processes can transform your small business. Download your white paper now, compliments of SuccessFactors.
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employee performance, high performance culture, high performing workforce, smart goals, performance reviews, goal setting, performance management, business strategy, business execution, strategy execution, business strategy software, business results, talent management, learning management, recruiting management, workforce planning, workforce analytics, succession planning, compensation, core competencies
    
Success Factors
Published By: apperian     Published Date: Apr 13, 2012
You'll learn about the high-level software architectural options, the importance of design and user experience, application development tools and techniques, and best practices for deploying applications and managing iPads in the enterprise.
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apperian, technology, ipad, wireless communications, business applications, enterprise, business analytics, business technology
    
apperian
Published By: Teradata     Published Date: Feb 26, 2013
Business Insights Using Hadoop with SQL Analytics. Harness the value of big data analytics -- This report discusses a unified data architecture solution providing valuable insight from new and existing data.
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power of analytics, harnessing the value of big data, business intelligence, teradata, unified data architecture, it management, data management, business technology, data center
    
Teradata
Published By: Birst     Published Date: Jul 16, 2013
This whitepaper first looks at the fundamental requirements that a BI solution should deliver to your company. Next, this whitepaper covers the 11 Key Questions that you should be asking of a future BI technology partner. When the BI provider can answer Yes to all of these questions, you have BI that is capable of fulfilling your analytical and reporting needs .
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
Birst’s Salesforce Reporting and Analytics helps sales managers analyze all of the critical salesforce.com data to uncover insightful pipeline information. Combining sales data with marketing, financial and operational data to obtain a comprehensive view of the pipeline is where Birst excels.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
Discover seven indications that you need advanced analytics for your CRM application and why they matter. Learn about common CRM data analysis pain points and how advanced CRM analytics can solve them.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
Covering 23 vendors and 5 market segments, the 2013 Wisdom of Crowds Business Intelligence Market Study helps readers understand the current market landscape including the perceptions and plans of organizations adopting BI solutions, the latest user trends and technology.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: Birst     Published Date: Jul 16, 2013
This BI guide has 10 real-life business scenarios that will elicit your business intelligence requirements in plain English. Key stakeholders and executive sponsors will get an easy-to-digest view of business intelligence requirements without getting into the details.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: ServiceSource     Published Date: Nov 01, 2013
In this book we describe best practices honed through 13 years of experience and partnership with some of the leading technology companies in the world. These best practices will give you insight into three key areas: • Data management & renewal opportunity generation • Sales strategy & execution • Continuing the renewal cycle We hope you enjoy this book!
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reducing customer churn, servicesource, recurring revenue, higher profit margins, drive innovation, drive performance, saas companies, competitive markets, less loyal customers, the cloud, profitable revenue stream, unique business process, technology platform, deliver real-time, fact-based plan, renewal ready data, accelerate analytics, channel partners, science of renewals, employee performance
    
ServiceSource
Published By: Cisco     Published Date: Aug 27, 2015
See how factories, utility companies, railroads, and other organizations are taking advantage of Internet of Things technology.
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connected factory, internet of things, iot solutions, data management, convergence, business process management, data integration, data analytics, infrastructure, network performance, network performance management, productivity
    
Cisco
Published By: Cisco     Published Date: Aug 27, 2015
This kit offers everything needed to connect, secure, and analyze a manufacturing floor, to evaluate the benefits of a connected factory before launching factory-wide.
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connected factory, starter kit, manufacturing process management, programmable logic controllers, plcs, wireless equipment connectivity, convergence, data integration, infrastructure management, business intelligence, data analytics, workforce automation, infrastructure, network management, network performance, network performance management, productivity
    
Cisco
Published By: Adobe     Published Date: Oct 24, 2018
Key Findings ? Budgets for analytics tools and talent are going up, as marketing leaders see analytics as a business requirement and source of competitive advantage. ? Marketing analytics users rate functionality, performance, product roadmap and future vision as the primary factors they consider when evaluating vendors. ? Customers of these vendors also report putting a premium on user experience and ease of use among their requirements. ? Digital marketing analytics vendors are addressing these needs by adding more advanced features and investing in upgraded and flexible user interfaces, including intelligent assistants.
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Adobe
Published By: Riverbed     Published Date: Feb 15, 2018
To stay ahead in today's hybrid network, you need a lens into the end user's experience as well as an understanding of the dependencies between your applications and network. With this approach, you are alerted to issues before the business is impacted and problems are resolved faster. This eBook details what you need to know to select a best of breed network performance management solution and outlines the critical capabilities required for deep application visibility across virtualized, hybrid and cloud networks no matter where a user is located. Read this book and: Discover best practices - for proactive network monitoring and fast troubleshooting Learn how to stay ahead of application performance issues with increased visibility Increase productivity and a higher ROI - with automatic discovery, end-to-end monitoring, reporting, analytics and faster MTTR Ensure your approach is a proactive mode Study the evaluation checklist - select the best solution for your needs
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Riverbed
Published By: Workterra     Published Date: Nov 10, 2017
Mid-market HR today is being asked to be a business partner in areas that range from compliance to employee engagement. They need to be able to connect the dots among various sources of employee data to deliver better-informed business decisions to help achieve strategic goals. Connecting those dots and delivering those results demands more HR firepower and greater data visibility than the manual or homegrown processes and systems often used by mid-market organizations can deliver. On the other hand, most mid-market companies aren’t ready for the intricacies or expense of human capital management (HCM) systems designed for enterprise-level organizations. The answer for forward-thinking HR leaders who want to boost their team’s capabilities and play a greater role in their company’s future is having core HR functionality designed into an integrated benefits administration solution. Automated HR that delivers core HR features as part of its architecture — not as an afterthought or a separate, stand-alone module — gives HR leaders: • The tools they need to better handle their administrative work • The data and analytics necessary to better coordinate programs and more confidently make strategic decisions • A user experience that makes life easier for HR and employees
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Workterra
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
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