analytics platform

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Published By: Adobe     Published Date: Aug 02, 2017
With Adobe Analytics and Adobe Audience Manager—both part of Adobe Marketing Cloud—media companies can overcome today’s audience intelligence challenges. Adobe Analytics is an industry-leading solution for applying real time analytics and detailed segmentation across all of your marketing channels. A unified platform and customer ID unlock powerful customer intelligence and help you discover and retain high-value audiences. Make forward-looking decisions with its predictive intelligence capabilities, and find out which of your marketing efforts are paying off with its attribution functionality.
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goals and kpis, data warehouse, resource management, insight loop, content and campaigns, audience optimisation
    
Adobe
Published By: Adobe     Published Date: May 15, 2018
Adobe sits at the nexus of content, media, and marketing. Adobe provides an EMSS offering spanning marketing, advertising, analytics, and content management capabilities. Of the vendors included this study, Adobe maintains the highest degree of overall strategic focus on marketing and consumer engagement. Adobe is investing heavily in its platform’s core services to unify data, content, and shared functionality across products. Adobe stands out for its digital intelligence, content handling, and aggressive rollout of AI features. Reference clients praise Adobe for their application usability and account management.
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Adobe
Published By: Adobe     Published Date: May 15, 2018
Adobe is the only Leader in Digital Intelligence Platforms. Digital intelligence with scope and depth. Your customers come to you from different places, so your data insights should do the same thing. Adobe Experience Cloud’s digital marking and analytics solutions help you combine insights from existing, new, and emerging channels. Read the Forrester Wave™: Digital Intelligence Platforms, Q2 2017 to find out why we stand alone among DI platform vendors.
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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: Adobe     Published Date: Feb 13, 2018
To offer customers the experience they expect requires more than traditional analytics. You need digital intelligence. As we’ve evolved into a true Digital Intelligence Platform, we’re in the right position to help you offer amazing customer experiences across channels. See why we are listed as the only Leader in The Forrester Wave™: Digital Intelligence Platforms, Q2 2017.
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Adobe
Published By: Adobe     Published Date: Apr 23, 2018
Adobe sits at the nexus of content, media, and marketing. Adobe provides an EMSS offering spanning marketing, advertising, analytics, and content management capabilities. Of the vendors included this study, Adobe maintains the highest degree of overall strategic focus on marketing and consumer engagement. Adobe is investing heavily in its platform’s core services to unify data, content, and shared functionality across products. Adobe stands out for its digital intelligence, content handling, and aggressive rollout of AI features. Reference clients praise Adobe for their application usability and account management.
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Adobe
Published By: Adobe     Published Date: May 04, 2018
Adobe is the only Leader in Digital Intelligence Platforms. Digital intelligence with scope and depth. Your customers come to you from different places, so your data insights should do the same thing. Adobe Experience Cloud’s digital marking and analytics solutions help you combine insights from existing, new, and emerging channels. Read the Forrester Wave™: Digital Intelligence Platforms, Q2 2017 to find out why we stand alone among DI platform vendors.
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Adobe
Published By: Adverity     Published Date: Jun 15, 2018
A Beginner's Guide to Marketing Data Analytics Marketing Data is big & highly fragmented Big data is messy. It’s scattered across platforms, it’s diverse, and in its raw form, it’s practically unusable. We know, it’s a painful truth. The fact of the matter is that having a lot of data doesn’t necessarily mean that you have the answers to your most pressing questions. Looking for the most relevant bits in your pile of big data is like looking for a needle in a haystack. But don't you worry - we are here to help. This handy e-book will give you a short overview what quality matters, why data is so important and what you need to pay attention to. Best thing is: getting this ebook is super easy. Just fill out the form to the right and voilá - your download is ready. Enjoy this read!
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity
Published By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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Amazon Web Services
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: Attunity     Published Date: Feb 12, 2019
Read this checklist report, with results based on the Eckerson Group’s survey and the Business Application Research Center (BARC), on how companies using the cloud for data warehousing and BI has increased by nearly 50%. BI teams must address multiple issues including data delivery, security, portability and more before moving to the cloud for its infinite scalability and elasticity. Read this report to understand all 7 seven considerations – what, how and why they impact the decision to move to the cloud.
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cloud, business intelligence, analytics, cloud data, data lake, data warehouse automation tools, dwa, data warehouse, security and compliance, data movement, hybrid cloud, hybrid cloud environment, cross-platform automation, portability
    
Attunity
Published By: Avi Networks     Published Date: May 14, 2018
Avi Vantage is the only solution that delivers built-in application analytics in addition to enterprise-grade load balancing and application security. With millions of data points collected in real time, the platform delivers network-DVR like capabilities with the ability to record and display application analytics over specific time intervals (last 15 minutes, hour, day, week etc.) or for individual transactions. These application insights including total round trip time for each transaction, application health scores, errors, end user statistics, and security insights (DDoS attacks, SSL vulnerabilities, ciphers etc.) simplify troubleshooting of applications.
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Avi Networks
Published By: Avi Networks     Published Date: Aug 17, 2018
This whitepaper details how ADCs and virtual appliances are inflexible, expensive, and lacking in visibility in contrast to the central management, autoscaling features, intelligent analytics, and flexibility offered by the Avi Vantage Platform. This document also outlines 7 key considerations that you should evaluate before you refresh your current load balancers: 1. Automation and Self-Service 2. Elasticity 3. Applica tion Analytics and Troubleshooting 4. Performance 5. Hybrid Cloud 6. Ecosystem Integrations 7. Total Cost of Ownership
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Avi Networks
Published By: AWS     Published Date: Jun 15, 2016
Netflix, one of the world’s leading Internet television networks, is using AWS to deliver billions of hours of content monthly, and run its analytics platform for optimum performance of its global service.
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AWS
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. 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 q
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AWS
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 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: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: BrightEdge     Published Date: Nov 13, 2014
BrightEdge tapped into its massive Data Cube repository to provide a comprehensive view into the channels that drive traffic and the types of content that perform best. BrightEdge created this report to help brands understand the actual performance of site content by channel and by industry.
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brightedge, content marketing, data analytics, marketing data, marketing platform, market intelligence, business intelligence
    
BrightEdge
Published By: CA Technologies EMEA     Published Date: Apr 10, 2018
CA Unified Infrastructure Management (CA UIM) is the only solution that provides unified analytics to proactively resolve issues. The solution’s single platform architecture delivers comprehensive infrastructure coverage so you can optimally manage hybrid IT environments and meet the needs of agile IT operations.
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CA Technologies EMEA
Published By: CDW     Published Date: Apr 04, 2016
Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet’s Cloud-based Analytics Platform, a vendor-neutral industry resource.
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analysis, development management, data management, business intelligence, best practices, data center
    
CDW
Published By: CDW - APC     Published Date: Apr 07, 2016
Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet’s Cloud-based Analytics Platform, a vendor-neutral industry resource.
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analysis, development management, data management, business intelligence, best practices, business technology
    
CDW - APC
Published By: Cisco     Published Date: Jul 11, 2016
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.
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Cisco
Published By: Cisco     Published Date: Dec 21, 2016
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.
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Cisco
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