advanced data analytics

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By: Adobe     Published Date: Aug 02, 2017
With the advanced analytics capabilities in Adobe Analytics and the testing and targeting capacity of Adobe Target, it’s easier than ever to realise the potential of data-driven marketing. From creating a complete view of each customer across touchpoints and along their journey, to using predictive analytics, advanced anomaly detection and machine learning to understand behaviours and needs, you can use data to plan, create and optimise the experiences that matter to you and your customers.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Adobe
By: Birst     Published Date: Jul 16, 2013
Discover seven indications that you need advanced analytics for your CRM application and why they matter. Learn about common CRM data analysis pain points and how advanced CRM analytics can solve them.
Tags : business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics
     Birst
By: Cisco     Published Date: Apr 08, 2015
This document will identify the essential capabilities you should seek in an advanced malware protection solution, the key questions you should ask your advanced malware protection vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques: ? Big data analytics ? Collective global security intelligence ? Enforcement across multiple form factors (networks, endpoints, mobile devices, secure gateways, and virtual systems) ? Continuous analysis and retrospective security
Tags : protection, analytics, global security, intelligence, virtual, gateway, attacks, malware
     Cisco
By: EMC Corporation     Published Date: Aug 05, 2014
Large organizations can no longer rely on preventive security systems, point security tools, manual processes, and hardened configurations to protect them from targeted attacks and advanced malware. Henceforth, security management must be based upon continuous monitoring and data analysis for up-to-the-minute situational awareness and rapid data-driven security decisions. This means that large organizations have entered the era of data security analytics. Download here to learn more!
Tags : big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance, security
     EMC Corporation
By: IBM     Published Date: Apr 04, 2013
Many small and midsize retailers could benefit from using advanced analytics to understand their customers better and improve promotions but are daunted by the prospect. They are aware that advanced analytics can help retailers turn purchase data into retail excellence. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
Tags : ibm analytics answers, retail purchase, offer targeting, infrastructure, offer, ibm, software licenses
     IBM
By: IBM     Published Date: Jul 22, 2014
Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
Tags : ibm, cloud, cloud storage, storage, storage environment efficiency, environment efficiency, data protection, data driven analytics
     IBM
By: IBM     Published Date: Nov 04, 2014
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
Tags : cloud computing, it efficiency, cloud storage, data protection, it management, data management
     IBM
By: IBM     Published Date: Jan 23, 2015
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Watch this webinar to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
Tags : storage environment, cloud storage, it efficiency, cloud agility, data-driven analytics, it management, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 23, 2015
Predict better academic outcomes with IBM SPSS Decision Management for Student Performance.
Tags : predictive analytics, performance management, student performance, spss, decision management, intervention measures, graduation rates, advanced placement courses
     IBM
By: IBM     Published Date: Jul 27, 2015
Communications service providers have much to gain from deploying big data analytics capabilities that enable smarter campaigns.
Tags : ibm advanced analytics platform, big data analytics, communications service providers, analytics software, predictive analytics, analytics visualization, historical analysis
     IBM
By: IBM     Published Date: Feb 02, 2016
Advanced analytics can provide extremelyvaluable insight into today’s media viewers. This must-read report details the top 10 best practices for successfully implementing data analytics for driving profit, attracting new viewers, and increasing viewer loyalty.
Tags : ibm, big data, analytics, media, entertainment, data analytics
     IBM
By: IBM     Published Date: Apr 14, 2016
Advanced analytics can provide extremely valuable insight into today’s media viewers. This must-read report details the top 10 best practices for successfully implementing data analytics for driving profit, attracting new viewers, and increasing viewer loyalty.
Tags : ibm, data analytics, analytics, media, entertainment
     IBM
By: IBM     Published Date: Jul 26, 2017
The headlines are ablaze with the latest stories of cyberattacks and data breaches. New malware and viruses are revealed nearly every day. The modern cyberthreat evolves on a daily basis, always seeming to stay one step ahead of our most capable defenses. Every time there is a cyberattack, government agencies gather massive amounts of data. To keep pace with the continuously evolving landscape of cyberthreats, agencies are increasingly turning toward applying advanced data analytics to look at attack data and try to gain a deeper understanding of the nature of the attacks. Applying modern data analytics can help derive some defensive value from the data gathered in the aftermath of an attack, and ideally avert or mitigate the damage from any future attacks.
Tags : cyber attacks, data breach, advanced data analytics, malware
     IBM
By: IBM     Published Date: Oct 16, 2017
This white paper examines how some of the ways organizations use big data make their infrastructures vulnerable to attack. It presents recommended best practices organizations can adopt to help make their infrastructures and operations more secure. And it discusses how adding advanced security software solutions from IBM to their big-data environment can fill gaps that big-data platforms by themselves do not address. It describes how IBM® Security Guardium®, an end-to- end solution for regulatory compliance and comprehensive data security, supports entitlement reporting; user-access and activity monitoring; advanced risk analytics and real-time threat detection analytics; alerting, blocking, encryption and other data protection capabilities, as well as automated compliance workflows and reporting capabilities, to stop threats.
Tags : security, big data, ibm, data protection
     IBM
By: Intel     Published Date: Dec 13, 2018
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
Tags : 
     Intel
By: MicroStrategy     Published Date: Jan 23, 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.
Tags : 
     MicroStrategy
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.
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Jun 06, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact.
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Jun 06, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact.
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Nov 05, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact. Analytics and business intelligence (A&BI) platforms exhibit differences in functional capabilities, particularly in their support for advanced analytics, data source connectivity and embedded functionality. As the market matures, the capabilities required to build and deliver user-friendly analytics dashboards are the least differentiated. The trend toward assisting users with augmented data discovery functionality continues, but many products still lack enough support for this critical capability. When viewed across the whole span of capabilities, significant differences remain between competing platforms and, therefore, also between which are most appropriate for a given use case. In some cases, th
Tags : 
     MicroStrategy
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.
Tags : servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability
     NEC
By: Netezza IBM US     Published Date: Mar 27, 2012
Across all industries, Revolution R Enterprise advanced analytics platform leverages the capabilities of IBM Netezza Analytics on IBM Netezza's family of data warehouse appliances, merging high-performance, scalable data warehouse technology with advanced in-database analytics and massively parallel capabilities
Tags : ibm, technology, netezza, analytics, enterprise analytics
     Netezza IBM US
By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
Tags : pentaho, analytics, platforms, hadoop, big data, predictive analytics, networking, it management
     Pentaho
By: Pentaho     Published Date: Apr 28, 2016
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
Tags : pentaho, best practices, hadoop, next generation analytics, platforms, infrastructure, data, analytics in organizations
     Pentaho
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