data analysis

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Published By: SPSS     Published Date: Jun 30, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
    
SPSS
Published By: SPSS     Published Date: Jun 30, 2009
Learn the benefits and advantages of using text analysis to gain the most value from your surveys.
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spss, text analysis, coding survey text, categorization, pre-built categories, spss text analysis, open ended questions, project wizard
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the marketing sector.
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spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence
    
SPSS, Inc.
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the marketing sector.
Tags : 
spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
    
SPSS, Inc.
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : 
spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
    
SPSS, Inc.
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
Read how Cabelcom recognized the key to tackling churn and was able to identify the point at which customers become dissatisfied with their service.
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spss, cablecom, customer retention, crm, churn rate, reduce churn, predictive analytics, statistics
    
SPSS, Inc.
Published By: SAS     Published Date: Sep 30, 2014
As analytics and Big Data have been embraced, analysts are working to become better at communicating the insights from complex analysis. This makes the use of visual analytics increasingly important as a tool to tell compelling stories and to engage decision makers in dialogue. Importantly, the best visual analytics are not necessarily the coolest, most sophisticated, or most complex. Visual analytics are most effective when there is a clear purpose and when data can be visualized and communicated in a way that is easily understandable.
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sas, big data, visual analytics
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution – one that’s driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
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SAS
Published By: SAS     Published Date: Aug 02, 2017
With more data in the hands of more people – and easier access to easy-to-use analytics – conversations about data and results from data analysis are happening more often. And becoming more important. And expected. So it’s not surprising that improved collaboration is one of the most common organizational goals. Why? Because two heads, or 10 heads, are better than one. Because bouncing ideas off of others helps you consider more options. And because sharing what you know may help someone else make better decisions.
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SAS
Published By: Damballa     Published Date: Apr 14, 2014
Learn about the new ways to detect advanced threats and see how you can integrate big data intelligence to enable breach prevention.
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malware, threats, security, network based intelligence, detection, big data, breach prevention, malware analysis
    
Damballa
Published By: IBM     Published Date: Aug 20, 2013
Decisions, decisions. They can make or break marketing success. Yet as customers and channels grow more complex, so does decision-making. As choices multiply, marketing becomes more challenging than ever. The days when marketers could rely strictly on good judgment and business acumen are past. Technology for decision and process automation gives marketers a decided edge in making spot-on decisions that match individual customers to the best message, on a scale of millions. The process of Decide builds on customer data collection and analysis, and positions your organization for profitable engagement with your Generation C connected customers. It plays an essential role in Enterprise Marketing Management (EMM) along with the processes of Collect, Analyze, Deliver and Manage.
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enterprise marketing management, customer marketing, customer communication, interactive marketing, emm, process automation, marketing strategy, multi-channel marketing
    
IBM
Published By: Cisco     Published Date: Jan 15, 2015
Empirical data from our individual Product Analysis Reports (PARs) and Comparative Analysis Reports (CARs) is used to create the unique Security Value MapTM (SVM). The SVM provides a quick, clear overview of the relative value of security investment options by mapping security effectiveness and value (TCO per protected Mbps) of tested product configurations.
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comparitive analysis, datacenter, social, analytics
    
Cisco
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: HP     Published Date: Aug 08, 2014
When you have voluminous data sets growing at an unabated rate, in formats that are unique and complex, how do you address your backup and recovery needs? While relying on traditional backup and recovery solutions can complicate matters, a better approach is to use a solution that enables your IT organization to make decisions that are more intelligent by integrating predictive analysis and an adaptive approach to backup and recovery.
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transform, backup, recovery solutions, lower costs, speed recovery, infrastructure, risk, simplified management
    
HP
Published By: Sirius Computer Solutions, Inc.     Published Date: Jul 08, 2014
In today’s data-driven culture, tools for business analysis are quickly evolving. Clients need a solution to accelerate their business analytics and reporting capabilities while lowering OP-Ecosts associated with systems management and cost of ownership. Download to learn more!
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sirius computer solutions, ibm, systems solution, sap business suite, sap hana, data, system management
    
Sirius Computer Solutions, Inc.
Published By: Sirius Computer Solutions, Inc.     Published Date: Jul 08, 2014
In this Research Report, Clabby Analytics takes a closer look at IBM’s new NeXtScale system design. Download to learn more!
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sirius computer solutions, ibm, nextscale system, hpc, cloud, grid, data analysis, customer relationship management
    
Sirius Computer Solutions, Inc.
Published By: Dell     Published Date: Mar 30, 2015
Dell has teamed with Intel to create innovative solutions that can accelerate the research, diagnosis and treatment of diseases through personalized medicine. The combination of leading-edge Intel® processors and the systems and storage expertise from Dell create a state-of-the-art solution that is easy to install, manage and expand as required. Download to learn more.
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dell, intel, genomics, research, data analysis, gdap
    
Dell
Published By: IBM     Published Date: Oct 26, 2015
This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world.
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ibm, ibm watson, big data, data center, data analysis
    
IBM
Published By: Intel     Published Date: Apr 19, 2016
Learn how Intel DCM solution provided an organization real-time and historical data center thermal maps and cooling analysis.
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intel, data center management, power and cooling, power, energy
    
Intel
Published By: Gleanster Research     Published Date: Oct 11, 2012
Authored by two luminary Business Intelligence (BI) industry analysts. This 9 page report exposes best practices on Self-Service BI. The findings come from a Q3'12 survey on BI, which captured the experiences of 327 organizations.
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business intelligence, cio, self-service, business analytics, data warehouse, data, analysis
    
Gleanster Research
Published By: IBM     Published Date: Feb 10, 2014
Manage physical and virtual assets, maintain your infrastructure and capital equipment and maximize the efficiency of your people, processes and assets with predictive analytics.
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ibm, ibm business analytics, operational analytics, predictive maintenance, insights, data analysis, roi, operational value cycle
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
Predictive maintenance taps into the sets of structured and unstructured data that organizations already have available.
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ibm, business analytics, operational analytics, predictive maintenance, predictive analytics, data analysis, efficiency, roi
    
IBM
Published By: IBM     Published Date: Feb 10, 2014
A car company thought they had a problem with their brake lights. Predictive analytics helped reveal the true culprit.
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ibm, ibm business analytics, operational analytics, predictive maintenance, insights, data analysis, roi, asset management
    
IBM
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