analytics platform

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Published By: IBM     Published Date: Jan 14, 2015
Explore this interactive infographic to discover how IBM makes it possible to manage all of these priorities while significantly reducing storage and maintenance costs.
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big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics, analytics, platform investment, data center
    
IBM
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: Tippit, CRM     Published Date: May 15, 2009
Today's Customer Relationship Management (CRM) solutions aim to recapture the personalized customer service provided by local mom-and-pop shops of yore – except with high-tech-analytics capabilities, collaborative platforms and automated processes. By gathering information from multiple data sources and storing it in a centralized location, a hosted CRM solution provides a holistic view of a customer in real time. Armed with this insight, a company’s management, sales and service people can better generate leads, target top customers, manage marketing campaigns, drive sales and boost customer satisfaction.
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tippit, marketing, analytics, sales force automation, crm, onyx software, rightnow technologies
    
Tippit, CRM
Published By: SAS     Published Date: Jun 10, 2016
Understanding security analytics can be a daunting job. It is more than just analyzing log files but it is less than a full-blown information security platform. In fact, according to Anton Chuvakin, research vice president for security and risk management at Gartner, it is not yet even a “market,” but rather still just a ”concept” that has yet to define best practices.
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security, business metrics, best practices, business intelligence, enterprise applications, analytics, prevention
    
SAS
Published By: MapR Technologies     Published Date: Dec 12, 2013
Evaluator Group looks at what will make Hadoop an enterprise data center-grade analytics platform.
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
    
MapR Technologies
Published By: IBM     Published Date: Mar 07, 2014
8 to 10 page Analyst Whitepaper by Ptak / Noel addressing the need for IT to bring Analytics technology to IT to help them be more proactive, predictive providing faster mean time to repair. This paper will also explore how IBM is helping customers with it's new IT Analytics platform that offers Search, Predict and Optimize capabilities.
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ibm, big data, operational insight, it analytics, optimize capabilities, predict capabilities, it management, business technology
    
IBM
Published By: Progress Software     Published Date: Mar 12, 2014
This report enumerates the Top 10 technology trends that are reshaping the nature and value proposition of business applications today and in the future.
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progress software, technology trends, forrester, business application, enterprise architects, cloud deployment, user experience, real time analytics, compenentization, app platforms, value proposition, it management, data center
    
Progress Software
Published By: IBM     Published Date: Jan 26, 2015
IBM Bluemix, a robust platform as a service (PaaS) to host and deploy your app, also provides a wide range of enterprise grade tools that can be used in your applications to run your business needs. The Analytics Warehouse Service available in IBM Bluemix provides a powerful, easy-to-use, and agile platform for business intelligence (BI) and analytics tasks. Check out this upcoming webcast to learn how you can create a ready-to-use BI and analytics service on Bluemix, in just a few clicks, and even access those results on an Android app.
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analytics service, open cloud platform, ibm, web developers, mobile developers, business integration, it management, data management, data center
    
IBM
Published By: NEC     Published Date: Aug 12, 2014
NEC has introduced the Express5800/A2000 Series Servers to accommodate enterprise application demands with peak server reliability, availability, and serviceability. The new server architecture and NEC engineering functionality align well with many of the most important IT priorities in 2014, including virtualization, big data and advanced data analytics. With the Express5800/A2000 Servers, NEC has the opportunity to educate application owners and work with system integrators to drive awareness and ultimately investment in its new server platform, which will help drive customer value. In this white paper, you will learn how these next-generation servers from NEC are ready to accommodate some of today’s demanding workloads.
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servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability, enterprise, availability, serviceability, processor, architecture, express, stress, data management
    
NEC
Published By: MicroStrategy     Published Date: Apr 11, 2019
A&BI platforms are evolving beyond data visualization and dashboards to encompass augmented and advanced analytics. Data and analytics leaders should enable a broader set of users with new expanded capabilities to increase the business impact of their investments.
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MicroStrategy
Published By: IBM     Published Date: Jan 09, 2014
For IT personnel looking to manage cross-platform workloads, IBM VMControl can provide an advanced solution. Read the white paper and learn why this technology beats the competition in terms of automated provisioning, systems integration and resource pooling. Also see how this environment offers advanced image management and higher resilience.
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vmware, ibm, virtualization, director vmcontrol, clabby analytics, platform virtualization, system director, multi-platform, power system, workload optimization
    
IBM
Published By: HP     Published Date: Apr 13, 2014
With growth in the volume and variety of data needed to monitor and manage complex IT systems, IT leaders have had to acquire new technologies to manage this data. This will require that a single, architected platform be procured to improve root-cause analysis and short-term predictive analysis.
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ops analytics, operations analytics, gartner, big data, analytics, predictive analytics, bsm, business service management, data management
    
HP
Published By: HP     Published Date: Apr 23, 2014
With growth in the volume and variety of data needed to monitor and manage complex IT systems, IT leaders have had to acquire new technologies to manage this data. This will require that a single, architected platform be procured to improve root-cause analysis and short-term predictive analysis.
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ops analytics, operations analytics, gartner, big data, analytics, predictive analytics, bsm, business service management, data management
    
HP
Published By: NetApp     Published Date: Mar 05, 2018
Did you know that by 2020, 50% of analytic queries will be generated using search, natural-language processing or voice, or will be automatically generated? Read the Gartner report Technology Insight for Modern Analytics and Business Intelligence Platforms and find out how to meet the time-to-insight demands of today's competitive business environment. Learn how to: • Determine when to use existing, traditional BI technologies versus modern analytics and BI • Broaden data access beyond relational systems • Adopt new approaches to data modeling
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: IBM     Published Date: May 19, 2015
In this report we assess the performance of major providers of advanced analytics solutions and provide insight into how their customers are benefiting from these solutions.
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advanced analytics, analytic solutions, complex predictive models, analytics platform, metrics, business metrics
    
IBM
Published By: IBM     Published Date: May 20, 2015
An analytics-based marketing platform can help marketers tackle the opportunities and challenges of a data and consumer-driven marketplace.
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IBM
Published By: SAP     Published Date: May 03, 2016
Indiana's Management and Performance Hub (MPH) program has developed a comprehensive, enterprise-wide, data-driven management system to help gain insight into the drug abuse crisis. Indiana MPH staff is tackling the issue using crime lab drug data from across the state to see new correlations in drug use over time and find insight into crime.
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sap, indiana, government, analytics, predictive analytics, hana, digital, data management
    
SAP
Published By: IBM     Published Date: Jul 12, 2016
As most companies now realize, analytics is increasingly more of an integral part of their day-to-day business operations. In a recent survey by a global research firm, 80% of CIOs stated that transition from backward-looking, passive analysis must shift to forward-looking predictive analytics. The challenge is that many analytic solutions are aligned to a specific platform, tied to inflexible programming models and requiring vast data movement. In this webcast, Forrester and experts from IBM will highlight how technology like Apache Spark on z/OS allows businesses to extract deep customer insight without the cost, latency and security risks of data movement throughout the enterprise.
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ibm, forrester, apache spark, spark technology, z systems, knowledge management
    
IBM
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
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Hewlett Packard Enterprise
Published By: LogRhythm     Published Date: Nov 01, 2018
The 13 Providers That Matter Most And How They Stack Up
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LogRhythm
Published By: IBM     Published Date: Jan 09, 2017
Is it better to build your own internal cybersecurity expertise and security intelligence & analytics platform or should you outsource the responsibilities to a team of experts? Read this paper by Securosis, L.L.C, an independent research and analysis firm, to understand the drivers, use cases and partner selection criteria for managed security monitoring.
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IBM
Published By: IBM     Published Date: Apr 18, 2017
There are myriad software products, from complete CRM platforms that offer analytics to standalone or add-on software products that focus solely on analytics. There are analytics apps that can be added to your existing CRM platform. Or there’s the option to outsource analytics to a growing number of service providers. “The technologies are changing rapidly. There are a zillion startups offering either new tools or technologies, so it is kind of hard to navigate,”Mike Gualtieri, an analystfor Forrester Research Inc. in Cambridge, Mass., said in a recent webcast on analytics. “There isn’t just one platform that you’re going to need. There’s a whole ecosystem of platforms.” Having the right people on staff who know how to use the technology is equally important, analysts say. Analytics aren’t just for statisticians anymore—they’re used by sales, marketing and customer service teams in daily decision making.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
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: 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
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