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Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy
Published By: Seismic     Published Date: May 14, 2019
Imagine being able to walk into a meeting and say, “this is what our content has done to accelerate deals, the amount of revenue it has affected, and the ROI of our overall content strategy.” Every marketer dreams about proving ROI and the Information Age has finally made it possible for marketing teams to get concrete numbers on the success of various campaigns. But with all the data out there, how do marketers know which KPIs provide the best insight into the health and success of their marketing activities? Download the guide to learn: ? The top KPIs for improving internal marketing efficiency ? The content engagement analytics that prove value ? How to have better visibility into what content sales uses most often
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Seismic
Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services. According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
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Group M_IBM Q4'19
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
    
ServiceSource
Published By: Pure Storage     Published Date: Oct 09, 2018
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude.
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Pure Storage
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Siloed data has become the Achilles heel of marketing insights –especially in the world of B2B and B2B2C marketing. Today’s marketing and sales departments sit on a goldmine of data derived from the dozens of applications and data sources in their MarTech stack. Still, the real opportunity for insights is hidden in the combined data across applications. Combining data in a comprehensive way delivers a full picture of marketing efficacy and efficiency. In this eBook, learn about the origins of siloed data, and how data has emerged and evolved, as well as review the benefits that marketing can realize with connected data. Along the way, we’ll share some action items you can take to assess your current situation and build a plan to unify your data and fuel great marketing insights.
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Simba by Magnitude
Published By: Pure Storage     Published Date: Nov 02, 2017
To stay relevant in today’s competitive, digitally disruptive market, and to stay ahead of your competition, you have to do more than just store, extract, and analyze your data — you have to draw the true business value out of it. Fail to evolve, and your organization might be left behind as companies ramp up and speed up their competitive, decision-making environments. This means deploying cost-effective, energy-efficient solutions that allow you to quickly mine and analyze your data for valuable information, patterns, and trends, which in turn can enable you to make faster ad-hoc decisions, reduce risk, and drive innovation.
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storage solutions, pure storage, oracle, analytics, business value, innovation, risk reduction
    
Pure Storage
Published By: MicroStrategy     Published Date: Nov 05, 2019
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete. According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives, followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will likely be quickly outdated, organizations now want to invest in systems that can meet their changing needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing business requirements.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
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MicroStrategy
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download now and learn how Alteryx and Microsoft Power BI help accelerate data blending and advanced analytics consumption for everyone in your organization.
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Alteryx, Inc.
Published By: McAfee     Published Date: Mar 31, 2017
Overwhelmed by the volume of security intelligence and alerts, human analysts need machine learning to augment and accelerate efforts. Machine learning moves security analytics from diagnostic and descriptive to prescriptive and proactive, leading to faster and more accurate detection.
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machine learning, advanced analytics, advanced threats, sandbox, zero-day, malware, mcafee labs, dynamic endpoint
    
McAfee
Published By: TIBCO Software     Published Date: Feb 13, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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TIBCO Software
Published By: IBM     Published Date: Apr 22, 2016
This white paper explains the value of putting data and insight to work to accelerate an organization’s journey to becoming a Cognitive Business, by enhancing their investments in data and analytics and realizing new opportunities from cognitive systems that understand, reason and learn.
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ibm, ibm analytics, cognitive business, watson, think data
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Hitachi Vantara     Published Date: Jan 11, 2019
Making sense of your data is one of the greatest challenges facing business today. Imagine a world where innovation and time-to-value are accelerated by AI and automation. Hitachi Vantara works at every point along the data value chain from analytics and insight, through intelligent governance to efficient, agile storage. Download this e-book to find out how to turn the business-enabling capital of the digital era into sustainable value.
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Hitachi Vantara
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: IBM     Published Date: Nov 10, 2016
Are you aware of the ongoing dialog about your products and services? Are you participating? Recent surveys show that organizations that deliver good customer experiences are reaping greater revenues than those that don’t. Yet companies are struggling to pivot towards the customer, because it often requires a complete overhaul of management, culture and technologies. This session will show how to defeat content chaos, streamline and accelerate onboarding and service processes, minimize friction with customers, use analytics to anticipate and prepare for customer needs, and give your front-line people the tools they need to offer a superior experience that will grow your revenues and generate great word of mouth.
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ibm, analytics, ecm, engagement, customer
    
IBM
Published By: Visier     Published Date: Nov 04, 2014
Read an industry report or blog post on hot HR trends and technologies today, and you are bound to see workforce analytics near the top. Analysts and commentators agree: workforce analytics has become a “must have” tool for HR and a key component of delivering business value. But how do you get started with this complex topic? By thinking through the first four steps, you can develop the requirements to support the fifth step: selecting the right workforce analytics solution for your organization. Download this white paper, Five Steps to Getting Started with Workforce Analytics, to find out how you can simplify and accelerate your journey from HR metrics to workforce analytics.
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visier, workforce analytics, hr metrics, planning
    
Visier
Published By: Riverbed     Published Date: Jul 15, 2014
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your existing monitoring and management strategy.
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big data analysis, it analytics, manage, complex, automation, monitoring, management strategy
    
Riverbed
Published By: Intel     Published Date: Apr 16, 2019
The data center is coming under immense pressure. The boom in connected devices means increasing volumes of data – and all that needs processing. One way for CSPs to accelerate customer workloads is by using FPGAs, which are easier to use than ever before. Download Intel's latest eGuide, ‘FPGA-as-a-Service: A Guide for CSPs' to discover: • How to add FPGAs to the data center • The structure of the Intel® Acceleration Stack for FPGAs • Adding off-the-shelf accelerator functions • How FPGAs can accelerate many cloud services, such as database as a service and analytics as a service
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Intel
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