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Published By: 8x8 Inc.     Published Date: Jun 16, 2017
Do attitudes to IT adoption vary depending on your seniority within a business? And could this be holding back adoption of technology? These are key questions explored in this paper, which compares the views of mid-level ‘hands on’ IT managers with those of senior directors within British companies. Across both groups, there is a sense that UK business in general is too wary of implementing new technology. But there is a significant divergence of opinion when it comes to a range of factors, such as the extent to which companies invest in new technology, stay on top of the latest tech, and understand its importance to the success of the business. A pattern emerges, whereby the senior leaders within companies are far happier than middle managers with the status quo around technology adoption. And IT managers even suggest that this might be driven by self preservation on the part of senior leaders.
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video conferencing, instant messaging, cloud based computer system, fixed phone line, pbx, cloud based telephony system, call analytics, byod, wearable technology
    
8x8 Inc.
Published By: Adobe     Published Date: Apr 17, 2014
Discover new opportunities for maturing your data practices—and building your business results. You’ll learn how to move beyond mere web analytics to build a more comprehensive marketing analytics approach that includes mobile, social, and offline channels. And you’ll see how your current analytics capabilities compare to those of similar organizations and where you have opportunities for improvement.
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adobe, analytics, marketing, data collection, data automation, marketing automation, web analytics, marketing analytics, data exploration, automation technology, data practices, marketing solutions
    
Adobe
Published By: Adobe     Published Date: Jan 12, 2015
Download our Field guide to marketing analytics to identify the defining characteristics of mature marketing analytics practices and to learn how your program can join their ranks. You’ll discover four steps to analytics maturity, from benchmarking your current performance to creating a long-term competitive advantage. And you’ll learn how the right marketing analytics can transform your business results.
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adobe, digital, marketing, analytics, benchmarks, competitive, advantage, personalize, experience, customer, channel, mobile, social, search, brand, experience, resources, technology, goals, playbook
    
Adobe
Published By: Adobe     Published Date: Oct 24, 2018
Adobe automates the process of turning insights into action by connecting Adobe Analytics to other solutions in Adobe Experience Cloud, including Adobe Target and Adobe Audience Manager. Four features make this possible: • Anomaly detection. The technology automatically analyzes trends and determines if they are statistically significant — in milliseconds. • Analyze play button. With analytics, you can take insights and connect them to your email, DMP, and personalization platform in seconds. • Intelligent alert. A built-in alerting system sends an SMS text or email when it detects an anomaly. There are also predictive algorithms that help you forecast how often the alert is likely to trigger. You can set these to only notify you of the most important changes. • Intelligent recommendations. It’s simply impossible to manually create every alert you might need, so Adobe is building machine learning directly into analytics to analyze users’ behaviors. Like a virtual data assistant, it co
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Adobe
Published By: ADP     Published Date: Nov 16, 2017
Many businesses invest in analytics technology thinking it’s a silver bullet. But data doesn’t always tell the whole story. You get percentages but not insights. Trends but not necessarily relationships or patterns. Truly impactful workforce analytics has to do more. You have to turn data into insight, and then put it into action. This workbook is designed to help you progress through the workforce analytics maturity model. The first step in the process is to identify where you stand today.
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ADP
Published By: Amazon Web Services     Published Date: Sep 05, 2018
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. 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. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: Anaplan     Published Date: Apr 06, 2016
A Harvard Business Review Analytics Services White Paper Finance is constantly tested to keep pace in today’s business environment. To keep up, planning needs to become a continuous process that spans departmental boundaries and enables managers to collectively realign resources to respond to market changes. Organizations must streamline disparate sales and operational planning with traditional financial planning and analysis by using technology to connect people, data, and processes across the organization. Download this white paper to discover the three steps to moving towards finance-led integrated business planning recommended by the Harvard Business Review.
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analytics, planning, cfo, operations, business practices, revenue, growth, enterprise business, finance trends, business analytics, business process, harvard business review, hbr, financial planning, corporate finance, fp&a, budgeting, integrated business planning, ibp, finance
    
Anaplan
Published By: Aprimo     Published Date: May 01, 2012
The real-time buzzword is back. Marketers, vendors, and service providers use this term in a variety of scenarios to describe technologies, analytics, customer service, and processes. In this report, Forrester outlines how firms should evaluate the need to build an agile and real-time environment using a combination of analytics, technology, and business processes.
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aprimo, marketing, customer relations, crm, customer satisfaction, customer data, marketing strategy
    
Aprimo
Published By: Attunity     Published Date: Nov 15, 2018
Change data capture (CDC) technology can modernize your data and analytics environment with scalable, efficient and real-time data replication that does not impact production systems. To realize these benefits, enterprises need to understand how this critical technology works, why it’s needed, and what their Fortune 500 peers have learned from their CDC implementations. This book serves as a practical guide for enterprise architects, data managers and CIOs as they enable modern data lake, streaming and cloud architectures with CDC. Read this book to understand: ? The rise of data lake, streaming and cloud platforms ? How CDC works and enables these architectures ? Case studies of leading-edge enterprises ? Planning and implementation approaches
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optimize customer service
    
Attunity
Published By: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
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data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data, big data, hadoop, agile analytics, cloud data lake, cloud data warehouse, data lake ingestion, data ingestion
    
Attunity
Published By: AWS     Published Date: Sep 04, 2018
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. 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. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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AWS
Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Technology is in a constant state of evolution, and the world of automation is no exception. In this eBook, we’ll consider how you can stay ahead of the competition—because in the application economy, it’s vital to ensure the tools your organization uses are capable of positioning you at the forefront of industry—not just today, but tomorrow as well. We are heading toward a scenario where workload automation tools are capable of thinking for themselves and making decisions based on policy; this is what we at CA Technologies are calling intelligent automation. At the same time, however, more and more challenges are being presented as the increasingly fragmented places our workloads run begin to impact our analytics, reporting and processes. The task is to navigate these hurdles while at the same time allowing our enterprises to harness the power of new technology.
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CA Technologies_Business_Automation
Published By: Carbonite     Published Date: Oct 10, 2018
Overview Key Challenges Organizations still struggle with communication between data owners and those responsible for administering DLP systems, leading to technology-driven — rather than business-driven — implementations. Many clients who deploy enterprise DLP systems struggle to get out of the initial phases of discovering and monitoring data flows, never realizing the potential benefits of deeper data analytics or applying appropriate data protections. DLP as a technology has a reputation of being a high-maintenance control — incomplete deployments are common, tuning is a never-ending process, lack of organization buy-in is low, and calculations of ROI are complex.
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Carbonite
Published By: Caristix     Published Date: May 03, 2013
Diagnosoft selected Caristix software and consulting. Consulting work included a hands-on workshop to co-design the interface deployment workflows that Diagnosoft customer engagements would require.
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clinical analytics, interoperability, software, consulting, interface deployment, healthcare, medical, cloud computing, business intelligence
    
Caristix
Published By: Cisco     Published Date: Jan 05, 2015
The four pillars of computing — cloud, mobility, social, and analytics — are driving new levels of network innovation in datacenter networks. These forces are now buffeting the datacenter along with virtualization and the Internet of Things (IoT), resulting in sweeping changes in traffic patterns that expose the limitations of traditional networks and their operational models. To become a resource rather than a bottleneck to overall datacenter performance, the network must deliver not just exceptional performance and scalability but also unprecedented automation and orchestration that can yield agility, flexibility, and service velocity. This Technology Spotlight examines these key trends and discusses the role that Cisco's Application Centric Infrastructure (ACI) plays in addressing these ongoing challenges for enterprise IT and network managers.
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cloud computing, infrastructure, marketplace, application, hybrid, enterprise
    
Cisco
Published By: Cisco     Published Date: Apr 10, 2015
Location-based services (LBS) show promise as a budding customer-centric mobility solution in some early adopting verticals such as retail, hospitality, and large public venues. Such services enable businesses to better understand their customer base through analytics as well as offer targeted, context-based communications including promotions and remote assistance. This IDC white paper explores the burgeoning LBS market, highlighting custom research conducted by IDC in March and April 2014; surveys were fielded to both IT and line-of-business (LOB) decision makers in select verticals and market segments. In this white paper, IDC analyzes the data and explores the attitudes surrounding LBS adoption in the context of broader technology trends.
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cisco, lbs, it technology, wifi, analytics, wireless networks
    
Cisco
Published By: Cisco     Published Date: Apr 10, 2015
Location-based services (LBS) show promise as a budding customer-centric mobility solution in some early adopting verticals such as retail, hospitality, and large public venues. Such services enable businesses to better understand their customer base through analytics as well as offer targeted, context-based communications including promotions and remote assistance. This IDC white paper explores the burgeoning LBS market, highlighting custom research conducted by IDC in March and April 2014; surveys were fielded to both IT and line-of-business (LOB) decision makers in select verticals and market segments. In this white paper, IDC analyzes the data and explores the attitudes surrounding LBS adoption in the context of broader technology trends.
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cisco, idc, lbs, wireless, wifi, mobility, it solutions
    
Cisco
Published By: Cisco     Published Date: Apr 10, 2015
Location-based services (LBS) show promise as a budding customer-centric mobility solution in some early adopting verticals such as retail, hospitality, and large public venues. Such services enable businesses to better understand their customer base through analytics as well as offer targeted, context-based communications including promotions and remote assistance. This IDC white paper explores the burgeoning LBS market, highlighting custom research conducted by IDC in March and April 2014; surveys were fielded to both IT and line-of-business (LOB) decision makers in select verticals and market segments. In this white paper, IDC analyzes the data and explores the attitudes surrounding LBS adoption in the context of broader technology trends.
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cisco, lbs, it technology, wifi, analytics, wireless networks
    
Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: Cisco     Published Date: Dec 21, 2016
Technology’s role in business and society has shifted away from largely driving efficiencies to innovating and creating engaging experiences that attract and retain customers. Innovations and business outcomes are fueled by a perfect storm of technology trends in cloud, analytics, machine learning, IoT and the emerging API Economy. The convergence of these technologies has created new opportunities for enterprises to improve business performance by acquiring customers faster while creating brand loyalty. The role of technology expands the interaction with customers beyond the core of the enterprise – away from 100% dependencies on systems of records – and towards real-time, contextual interactions. Businesses are a digital business or they are evolving to become one. This requires enterprises to re-think how they build software architectures.
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Cisco
Published By: Cisco     Published Date: Dec 21, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: Cisco     Published Date: Oct 08, 2018
Detect attacks that get past perimeter defenses across the digital business. Detect malicious patterns in encrypted traffic. No decryption is needed with our Encrypted Traffic Analytics technology and multilayer machine learning. Extend your network visibility.
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encrypted traffic, digital business, security, network, network visibility, next generation firewall, digital transformation, advanced malware protection
    
Cisco
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
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