advanced data analytics

Results 26 - 39 of 39Sort Results By: Published Date | Title | Company Name

Manage student performance in real time

Published 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, data analytics
    
IBM

Manufacturing Process Optimization

Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
Tags : 
    
TIBCO Software

Moving finance forward with advanced data analytics.

Published By: Workday APAC     Published Date: Dec 11, 2018
Our latest global survey revealed a number of barriers between finance and analytics. See what separates finance leaders from data intelligence.
Tags : 
    
Workday APAC

NEC Directs Attention to Solve Server Side Stress

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.
Tags : 
servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability, enterprise, availability, serviceability, processor, architecture, express, stress, data management, application integration, productivity
    
NEC

On Demand Webcast: Activate Cloud Storage to Improve Storage Environment Efficiency

Published 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, storage systems, storage costs, it budget, it management, database security, cloud computing, infrastructure
    
IBM

Pedal To The Metal Guide

Published 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

TDWI Best Practices Report: Next-Generation Analytics and Platforms

Published 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, knowledge management, data management
    
Pentaho

TDWI Best Practices Report: Next-Generation Analytics and Platforms

Published 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, it management, wireless, enterprise applications, data management, business technology, data center
    
Pentaho

TDWI Best Practices: Data Lakes, Purposes, Practices, Patterns and Platforms (customized reports)

Published By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Tags : 
    
SAS

The Big Data Security Analytics Era is Here

Published 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

The Evolving Face of Cyber Threats

Published 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

Unlock Analytic Performance with Revolution R for Enterprise and IBM

Published 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, application integration, application performance management, business analytics, business intelligence, business technology
    
Netezza IBM US

Using Data to Drive Profit

Published 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

Using Data to Drive Profit - Top 10 Keys for Using Data Analytics in Media and Entertainment

Published 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, analytical applications, business intelligence, research
    
IBM
Previous    1 2     Next   
Search      

Add Research

Get your company's research in the hands of targeted business professionals.