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Delivering Hybrid Analytics at the Speed of Business: IBM Integrated Analytics System

Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19

Overcoming Petabyte-Scale Storage Challenges for Big Data and Analytics

Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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Infinidat EMEA

Eliminate Cloud Sprawl

Published By: Apptio     Published Date: Jul 16, 2019
With increased adoption, cloud footprints are getting larger and more unwieldy to manage. Organizations know they must analyze and consolidate their cloud bills to stop cloud waste eating into OpEx budgets. Extensive cloud adoption driven by a “cloud-first” mandate isn’t inherently sprawl, but do you know the business initiatives that spend is supporting? What alternatives did you consider? How is spend tracking? Download this guide to stop cloud sprawl from undercutting your IT strategy.
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Apptio

How CXOs Are Using Secure IoT to Drive Business Growth

Published By: Great Bay Software     Published Date: Jan 09, 2019
IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences. But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved? This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides: • 7 best practices for data privacy and security policies • 7 items to consider for device security • 6 key considerations for network connection security
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Great Bay Software

Move off Oracle and onto Amazon Web Services (AWS) with clckwrk

Published By: AWS     Published Date: Jul 26, 2019
What you'll learn in this webinar: When you migrate your databases and applications from Oracle to Amazon Aurora, you can take advantage of the modern, scalable cloud infrastructure available on Amazon Web Services (AWS) to optimize your operations so you can focus on innovation. Clckwrk analyzes your existing database environment and creates a plan to embrace an elastic, scalable, cloud-native database solution that can grow with your business and help you eliminate the exorbitant costs of commercial database licenses. Watch this webinar to learn how: You can accelerate your migration off Oracle databases to Amazon Aurora with minimized disruption to your business You can leverage refactor code to work in your new database Clckwrk can help you establish a unique migration strategy for your needs, supported by a consultation practice that covers discovery to implementation
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AWS

The Ultimate Guide to 10X Your Sales Development Team's Productivity

Published By: Drift     Published Date: Aug 05, 2019
This guide is used to deploy conversational sales to your sales development team. It will answer the following questions: • How to introduce live chat to your sales team • How to analyze good and bad conversations • How to coach your team to have better conversations • How to align a sales development representative (SDR) team with account executives and a marketing team This handbook uses the Conversational Framework to inform how you engage with, understand, and recommend the right thing to the right buyers at the right time
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Drift

The Eight Subscription Billing Solution Providers That Matter Most And How They Stack Up

Published By: goTransverse     Published Date: Nov 25, 2015
In Forrester’s 40-criteria evaluation of subscription billing platform solutions, we identified the eight most significant vendors in the category — Apttus, Aria Systems, Digital River, goTransverse, Recurly, SAP hybris, Vindicia, and Zuora — and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help eBusiness professionals select the right partner as they seek to develop and support alternative business models for both existing and new products and services.
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goTransverse

Can Machine Learning Prevent Application Downtime?

Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: Top 5 causes of downtime and poor performance across the infrastructure stack How machine learning and predictive analytics can prevent issues Steps you can take to boost performance and availability"
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cloud, nimble storage, infrastructure
    
Hewlett Packard Enterprise

Calculating the Real ROI of Video Conferencing Technology

Published By: LifeSize, a division of Logitech     Published Date: Sep 08, 2015
Sure, ROI calculators help distill anecdotal evidence and analyze cost savings associated with travel, but it usually goes something like this: total hours spent traveling + cost of hotel, rental car, and food divided by the number of meeting hours. Well, at least that’s one version. No matter the final number, the ROI total savings on cost of travel is only part of the story. Calculating the true ROI of video conferencing combines facts with real-life tangibles to help you understand and quantify your investment.
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roi, video conferencing, communication, travel costs, meetings, business continuity, business intelligence, productivity
    
LifeSize, a division of Logitech

At-a-Glance: Machine Learning Delivers Greater than Six Nines Availability

Published By: Hewlett Packard Enterprise     Published Date: Sep 25, 2017
Every week InfoSight analyzes more than a trillion data points from more than 9,000 customers. How does this translate into true business value? By reducing your business risk with over Six-Nines of measured availability. By providing you with an infrastructure that gets “smarter” every single day. By empowering IT staff to focus on business priorities instead of mundane maintenance.
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Hewlett Packard Enterprise

Nimble Labs Report: Can machine learning prevent application downtime?

Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability
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Hewlett Packard Enterprise

The Forrester Wave™: Hardware Platforms For Software-Defined Networking, Q1 2018

Published By: Juniper Networks     Published Date: Mar 27, 2018
In our 40-criteria evaluation of data center hardware platforms for software-defined networking (SDN), we identified the nine most significant players — Alcatel-Lucent Enterprise, Arista Networks, Extreme Networks (which recently acquired Brocade Communications System’s data center networking business), Cisco Systems, Cumulus Networks, Dell, Huawei, Juniper Networks, and Pluribus Networks — and researched, analyzed, and scored them. This report shows how each provider measures up and helps infrastructure and operations professionals (I&O) make the right choice.
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Juniper Networks

The Forrester Wave™: Data Management Platforms, Q2 2017

Published By: Adobe     Published Date: Aug 30, 2017
In our 35-criteria evaluation of data management platforms (DMPs), we identified the 11 most significant ones The ADEX, Adform, Adobe, KBM Group, Lotame, MediaMath, Neustar, Nielsen, Oracle, Salesforce, and Turn and researched, analyzed, and scored them. This report shows how each provider measures up and helps B2C marketing professionals make the right choice.
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Adobe

Forrester Wave: Digital Intelligence Platforms

Published By: Adobe     Published Date: Nov 09, 2017
In our 26-criteria evaluation of digital intelligence (DI) platform providers, we identified the 10 most significant ones — Adobe, Cxense, Evergage, Google, IBM, Localytics, Mixpanel, Optimizely, SAS, and Webtrekk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.
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Adobe

The Forrester Wave™: Digital Intelligence Platforms, Q2 2017

Published By: Adobe     Published Date: Mar 26, 2018
In our 26-criteria evaluation of digital intelligence (DI) platform providers, we identified the 10 most significant ones — Adobe, Cxense, Evergage, Google, IBM, Localytics, Mixpanel, Optimizely, SAS, and Webtrekk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice
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Adobe

The Forrester Wave™: Data Management Platforms, Q2 2017

Published By: Adobe     Published Date: Mar 26, 2018
In our 35-criteria evaluation of data management platforms (DMPs), we identified the 11 most significant ones — The ADEX, Adform, Adobe, KBM Group, Lotame, MediaMath, Neustar, Nielsen, Oracle, Salesforce, and Turn — and researched, analyzed, and scored them. This report shows how each provider measures up and helps B2C marketing professionals make the right choice.
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Adobe

The Forrester Wave™: Omnichannel DemandSide Platforms, Q2 2017

Published By: Adobe     Published Date: Mar 26, 2018
In our 36-criteria evaluation of omnichannel demand-side platform (DSP) providers, we identified the 11 most significant ones — Adform, Adobe, AOL, AppNexus, DataXu, Google, MediaMath, Rocket Fuel, The Trade Desk, Turn, and Viant — and researched, analyzed, and scored them. This report shows how each provider measures up and helps marketing professionals make the right choice.
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Adobe

The Power of Data Orchestration for Commercial Washing Machines

Published By: Sierra Wireless     Published Date: May 08, 2019
The Industrial Internet of Things (IIoT) has made equipment more efficient while improving customer experiences. For the first time, it enables manufacturers to gather and analyze sensor-based data to enhance operations. Every year, Sierra Wireless finds more applications for this exciting new technology. Now, we are applying the benefits of the IIoT to commercial and industrial washing machines. To find out more download this whitepaper today!
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Sierra Wireless

Land Rover Bar Sailing Team Stays Competitive with VxRail Hyperconverged Appliance

Published By: Dell EMC     Published Date: Nov 04, 2016
With the 'EMC Mission Control' center in Portsmouth, UK and a second at the America’s Cup venue in Bermuda, plus a mobile center travelling worldwide to the preliminary events, Land Rover BAR will have all its data continuously replicated. The team in Portsmouth can analyze race and testing data immediately, as well as identify and make improvements right up to and through the finals in June 2017. This allows the design team and the crew to adapt much faster. With the introduction of the VCE VxRail Appliance powered by Intel® Xeon® processors, Land Rover BAR will be able to flexibly and rapidly scale, irrespective of location, ensuring a seamless experience for the team. To learn more about the impact of the Dell EMC VCE VxRail Appliance, read this brief infographic.
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servers, flash storage, modular platforms, software-defined, networking, infrastructure, storage management, infrastructure management
    
Dell EMC

Turning Big Data into Business Insights

Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn more about how to capture, analyze and manage a tidal wave of structured and unstructured data, turn this data into operational intelligence, And how to overcome the limitations of databases and data management tools that weren’t designed for a world of big data with Dell.
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Dell EMC

Manufacturing Intelligence for the Next Industrial Revolution (Whitepaper)

Published By: TIBCO Software GmbH     Published Date: Jan 22, 2019
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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TIBCO Software GmbH

Digital Business 2018: Benchmark Your Digital Journey

Published By: Micro Focus     Published Date: Jun 07, 2018
As businesses look for new ways to create value for customers through digital experiences, it's clear that some firms are more advanced than others. This report analyzes the characteristics that distinguish the more advanced innovative companies from those just starting their digital journey. Digital leaders can use this analysis to help benchmark their own progress toward becoming a digital business.
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Micro Focus

SAP HANA: Helping Businesses Run Better--in Real-Time

Published By: SAP     Published Date: May 22, 2012
With SAP In-Memory Computing, massive amounts of data can be queried and analyzed 3600 times faster than before -- turning questions into action and giving you insight you can act on immediately. Your competitors will still be pondering the numbers while you are making your next move. Discover this eBook to learn more.
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sap, ebook, business, computing, technology, real-time, business technology, it management, business analytics, business intelligence, data protection, data quality
    
SAP

The Smarter Way to Manage Data

Published By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
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Oracle EMEA

The Forrester Wave: Online Testing Platforms

Published By: Adobe     Published Date: Nov 07, 2013
In Forrester’s 53-criteria evaluation of online testing platform vendors, we identified the seven most significant providers — Adobe, Autonomy, Maxymiser, Monetate, Optimizely, SiteSpect, and Webtrends — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria, and where these vendors stand in relation to each other, to help customer intelligence professionals select the right partner for their online testing needs.
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adobe, forrester wave, online testing platforms, vendor selection, optimize core competency, digital marketers, maturing vendor solutions, future of online testing, growing online testing requirements, online testing vendors, balance functionality, balance usability, customer intelligence, right partner, online testing needs, performance testing, content management system, spend management
    
Adobe
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