data analytics

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By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
Tags : customer analytics, data matching, big data, competitive advantage, customer loyalty
     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
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     Intel
By: McAfee     Published Date: Apr 25, 2014
As malware becomes ever more sophisticated and evasive, new technologies are emerging to uncover threats no matter how well they’re camouflaged. This paper proposes a logical design strategy for dynamic malware analysis that optimizes detection effectiveness, efficiency, and economics.
Tags : malware detection, data analytics, dynamic sandboxing, static analytics, zero-day malware, comprehensive threat protection, fast detection, malware analysis, simplifies remediation, security, it management
     McAfee
By: Cisco     Published Date: Feb 16, 2016
This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques.
Tags : cisco, malware, data security, analytics, global security threat, security
     Cisco
By: DataFlux     Published Date: Jan 07, 2011
This white paper, the first in a sequence, addresses the question, "who, specifically, are those right groups and right people?" on several different levels. It also highlights underlying principles that, properly applied, lead to solid answers to the "who" questions for a wide variety of scenarios.
Tags : dataflux, data agenda, data quality, governance, analytics, measurement and reporting, automation
     DataFlux
By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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     SAS
By: SAS     Published Date: Mar 01, 2012
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
Tags : sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
     SAS
By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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     Cisco
By: ESV Digital     Published Date: Feb 10, 2015
The multiplication of marketing channels and devices concerning consumers has greatly increased the complexity faced by brands in their marketing efforts. This white paper aims to explain the issues, the principal attribution models used and the related challenges.
Tags : esv digital, algorithms, interactions, point of contact, nurturing, marketing data, marketing analytics, business technology
     ESV Digital
By: Intel     Published Date: Apr 09, 2019
Video data is a key part of surveillance as well as many other types of IoT implementations. But video data can be complex and costly to gather, transmit, and analyze. AllGoVision* provides an innovative analytics solution, purpose-built for video data. Powered by Intel® architecture, the solution has been deployed in more than 100 installations in 35 countries. It rapidly analyzes video from surveillance cameras for designated parameters, including specified factors, behavior patterns, motion tracking of people and objects, and environmental monitoring.
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     Intel
By: SAS     Published Date: May 04, 2017
Should you modernize with Hadoop? If your goal is to catch, process and analyze more data at dramatically lower costs, the answer is yes. In this e-book, we interview two Hadoop early adopters and two Hadoop implementers to learn how businesses are managing their big data and how analytics projects are evolving with Hadoop. We also provide tips for big data management and share survey results to give a broader picture of Hadoop users. We hope this e-book gives you the information you need to understand the trends, benefits and best practices for Hadoop.
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     SAS
By: Unica Corporation     Published Date: Jan 19, 2010
Most web analytics solutions were initially architected to generate reports using only aggregate data. Next generation web analytics solutions use both aggregate and individual level data to achieve interactive marketing success. This free interactive infographic, includes live links that will guide you through a valuable framework for web analysis and gives insight into your overall website performance and visitors' behaviors. Learn how to optimize your visitors' website experiences and turn those experiences into actions.
Tags : interactive web analytics map, next generation web analytics, website optimization, multi-channel analytics, aggregate level analytics, individual level analytics, website performance, behaviorial targeting, website personalization
     Unica Corporation
By: IBM     Published Date: Apr 07, 2015
Using data to reinvent one’s business has reached the mainstream. Data and analytics allow us to change the world around us: it gives us insights into what is happening, allowing us to optimize our strategy, create new business opportunities, and make more accurate predictions.
Tags : ibm, data management, analytics, insights, optimization strategy, predictions
     IBM
By: Dell Server     Published Date: Aug 07, 2018
Today’s digital businesses are managed using critical business analyses that provide far greater insight into the business and how to maximize results. However, these high-value applications that use the latest software tools demand far more from IT infrastructure, as they utilize an order of magnitude more data and demand more compute resources than legacy applications. Legacy systems are no longer capable of meeting the present and future needs of the organization. Forward-thinking IT organizations are developing new infrastructure strategies to better support high-value analytics workloads with Dell EMC PowerEdge Servers powered by Intel® Xeon® Platinum processor.
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     Dell Server
By: SAS     Published Date: Jun 05, 2017
Data professionals now have the freedom to create, experiment, test and deploy different methods easily – using whatever skill set they have – all within one cohesive analytics platform. IT leaders gain the ability to centrally manage the entire analytics life cycle for both SAS and other assets with one environment. Organizations get faster results and better ROI from analytics efforts.
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     SAS
By: SAS     Published Date: Feb 29, 2012
This collection is part of the ANA Magazine Thought Leadership Series sponsored by SAS. The articles explore the variety of ways to use analytics to create marketing functions that are more accountable and profitable.
Tags : sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
     SAS
By: IBM     Published Date: May 19, 2015
Predictive analytics is within easy reach for all enterprises if they choose the right big data predictive analytics solution to meet their needs.
Tags : predictive analytics, predictive analytics solutions, big data, enterprise. advanced analytics, application development
     IBM
By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it can’t How to drive revenue and exceptional customer experiences with predictive analytics
Tags : predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
     Splunk
By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: IBM     Published Date: Jul 07, 2014
With so much emphasis in the business world being placed on big data and analytics, it can be easy for midsize businesses to feel like they’re being left behind. These organizations often recognize the benefits offered by big data and analytics, but have a hard time pursuing those benefits with the limited resources available to them.
Tags : ibm, analytics, big data, midmarket, midsize businesses, data-driven insights, business insights, business value, data analysis
     IBM
By: Adobe     Published Date: Jun 29, 2012
The volume of customer data that marketing departments possess continues to grow at explosive rates. But new research from the Aberdeen Group finds that less than 40% of marketers use this information to optimize and target their campaigns. This "data rich, insight poor" phenomenon is examined in their new white paper, which identifies common analytics challenges-and shows how you can rise above them.
Tags : adobe, cmo, analytics, marketing, aberdeen, optimize, campaign, optimization
     Adobe
By: Looker EMEA     Published Date: Sep 27, 2017
What is your Analytics Maturity? An 'Army of Analysts' can be very powerful. The problem, of course, is that as your organisation scales, and more data requests come in, you’ll constantly be hiring more analysts (and that gets expensive!). Download this infographic to discover what your analytics maturity is, and how to move from an 'Army of Analysts' to a more efficient, scalable model.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Looker EMEA
By: SAP     Published Date: Jan 15, 2016
Managing state government often requires impassioned debate about the best way to allocate resources, deliver services to citizens and build budgets that reflect elected leaders’ and citizens’ priorities. The State of Indiana is bringing data-driven insights to these discussions through its use of analytics.
Tags : sap, government, analytics, data
     SAP
By: MedeAnalytics     Published Date: Mar 09, 2012
Put simply, the aim of reporting is to translate or convert data into information. Reporting done well often prompts end-users to raise questions about the business. Analytics fills in the gap, answering the questions raised by reporting, thereby transforming data into insights. Read more to find out how analytics can go beyond reporting to provide actionable recommendations to improve business performance.
Tags : analytics, reporting, healthcare, business intelligence, business, hospitals
     MedeAnalytics
By: IBM     Published Date: Aug 20, 2015
Hear from industry experts, how forward-thinking organizations can use workforce science and analytics to turn data into insights and then into action
Tags : data analytics, ibm recruitment, data insights, hr leaders, workforce science, talent management, hr analytics
     IBM
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