business analytics

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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
    
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
    
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
Published By: AWS     Published Date: Nov 15, 2018
It isn’t always easy to keep pace with today’s high volume of data, especially when it’s coming at you from a diverse number of sources. Tracking these analytics can place a strain on IT, who must provide the requested information to C-suite and analysts. Unless this process can happen quickly, the insights grow stale. Download your complimentary ebook now to see how Matillion ETL for Amazon Redshift makes it easy for technical and business users alike to participate and own the entire data and analysis process. With Matillion ETL for Amazon Redshift, everyone from CTOs to marketing analysts can generate valuable business intelligence by automating data and analytics orchestrations.
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AWS
Published By: AWS     Published Date: Nov 16, 2018
"Migrating to the cloud? Already living there? TIBCO Cloud Integration is an Integration Platform as a Service (iPaaS) that enables businesses like yours to connect applications easily and securely—no coding required. TIBCO Cloud Integration allows you to extend beyond connectivity to the cloud into IoT application services, analytics, and machine learning. Download this data sheet to see the top 3 reasons to choose TIBCO Cloud Integration for: • A modern platform • True open source innovation • Proven experience at enterprise scale"
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AWS
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: FICO     Published Date: Jun 06, 2017
Now you can make sound business decisions in a matter of minutes that increase productivity, maximize operating benefits, improve product lifecycle management and reduce manufacturing costs. Find out how advanced analytics provides a desirable path to help manufacturers power up their capabilities, drive efficiency and better leverage machine and customer data.
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manufacturing, manufacturing optimization, manufacturing solutions
    
FICO
Published By: HP Inc.     Published Date: Jun 03, 2019
As the changing workforce puts pressure on companies to adopt the use of mobile and personal devices, significant business trends, such as data analytics, the digitization of business functions and the blending of service offerings across industries, are also expanding the use of technologies. This expansion increases the boundaries of what’s possible, and it also creates risks.
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HP Inc.
Published By: Kofax     Published Date: Aug 24, 2017
Are you ready for the digital revolution? Digital transformation is fundamentally reshaping the way insurers do business. From automated data integration, mobile implementation and analytics, digital transformation spans across your enterprise operations This white paper provides you with the roadmap you need to build a comprehensive enterprise-wide digital transformation plan that makes your insurance organization not only competitive, but differentiated. • Understand the forces behind digital disruption: customers, competitors, costs and compliance • Learn how to map, prioritize and identify opportunities for digital transformation • Leverage a process maturity model to advance your digital position
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digital future, digital revolution, data integration, positioning
    
Kofax
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: ttec     Published Date: Oct 16, 2019
Omnichannel, in its most complete definition, means taking into account individual customer needs and perspectives to create seamless customer experience within and across multiple channels. The customer is in control, which creates amazing customer experiences and reduces friction for users and the business. With a true omnichannel experience, each conversation is a continuation from the last and customers don’t have to reiterate their problems multiple times to multiple people. It provides better insights into a customer’s next action, and it enables more personalized product recommendations and proactive outreach. Through technology and analytics, brands can improve their operational efficiency, optimize their channel mix, and take advantage of lower-cost channels, all while enabling a better experience for their customers.
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ttec
Published By: TIBCO Software     Published Date: Nov 07, 2019
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning. Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law. Get insights into: How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics An overview of the key market challenges for delivering a unified data management and governance model Real-world case studies from G-SIBs focused on data governanc
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TIBCO Software
Published By: Cherwell Software     Published Date: Sep 22, 2015
This ebook provides three concrete methods for keeping modern IT departments cutting edge and competitive.
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application management, business intelligence analytics, business process management (bpm), contact center solutions, customer service best practices
    
Cherwell Software
Published By: Aprimo     Published Date: Apr 09, 2012
The key best practices for next best action in CRM are to align it with key business imperatives; deliver it through priority customer-interaction channels; inform targeted offers with trustworthy customer data; drive it from advanced analytics and rules; and use it to shape multichannel conversations with customers.
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aprimo, marketing, customer relations, crm, customer satisfaction, customer data, marketing strategy
    
Aprimo
Published By: Aprimo     Published Date: May 01, 2012
The key best practices for next best action in CRM are to align it with key business imperatives; deliver it through priority customer-interaction channels; inform targeted offers with trustworthy customer data; drive it from advanced analytics and rules; and use it to shape multichannel conversations with customers.
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aprimo, marketing, customer relations, crm, customer satisfaction, customer data, marketing strategy
    
Aprimo
Published By: Cisco     Published Date: Nov 17, 2015
With 50 to 100 billion things expected to be connected to the Internet by 2020, we are now experiencing a major paradigm shift that is revolutionizing business. More and more of the objects we use every day—including those in our factories, utilities, and railroads—are used to capture and distribute information that is helping us know more and do more. The TechWiseTV team and guest experts take an in-depth look at how industries like these are utilizing the data they are gathering from the factory floor all the way out to the field. This exploration into how the Internet of Things actually works in the real world and what your organization must do to take full advantage of it is a great opportunity to understand the practical challenges and specific technology involved in bringing all this potential to life.
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cisco, connected factory, internet of things, iot solutions, data management, convergence, business process management, data integration
    
Cisco
Published By: Cisco     Published Date: Nov 17, 2015
Gain Immediate Value from Your Connected Factory Architecture! Imagine if you could reconfigure your production line in days instead of weeks. Or if you could cut long search times for parts in half using factory wireless across a connected factory architecture. These are only a few of the reasons why leading manufacturers deploy Cisco’s Connected Factory Solution. Now you can try out these new technologies and capabilities on a small scale, with low financial risk in your own plant with the Cisco Connected Factory Starter Kit. Create a living lab and test out one or more specific use cases. Use it as a demo to get buy in from stakeholders. Or get one production line up and running immediately and roll out a more comprehensive deployment later on.
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cisco, connected factory, starter kit, manufacturing process management, programmable logic controllers, plcs, wireless equipment connectivity, convergence
    
Cisco
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
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