it analytics

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Published By: IBM     Published Date: Apr 15, 2015
EMA is very much aligned with the directions that IBM is taking in its IT operations analytics strategy and product portfolio. While there is room for improvement, EMA remains optimistic that Netcool Operations Insight is the next step in a continuing set of leadership moves by the company.
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business intelligence, efficiency, analytics, big data, cloud computing, insight
    
IBM
Published By: IBM     Published Date: Apr 15, 2015
Technology Adoption Analyst whitepaper by Forrester. This IBM-commissioned profile of IT operations decision-makers at enterprise companies in the US, UK and Germany evaluates IT operations analytics adoption, benefits, and challenges based on Forrester’s own market data and a custom study of the same audience.
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ibm, it operations, decision makers, analytics, market analysis
    
IBM
Published By: IBM     Published Date: Apr 29, 2015
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
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bigsheets, data management, business intelligence, workload optimization, data, sql
    
IBM
Published By: IBM     Published Date: May 12, 2015
This white paper describes a holistic approach to healthcare cybersecurity, which incorporates sophisticated big data analytics to help better protect and secure the vast array of data healthcare organizations maintain.
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healthcare, cybersecurity, big data, security, business technology
    
IBM
Published By: IBM     Published Date: May 20, 2015
Join our IBM Big Data analytics experts at this webinar for a discussion of how the right analytical techniques can broaden the possibilities of your analytics infrastructure.
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big data, analytics, forecasting, data management
    
IBM
Published By: IBM     Published Date: May 22, 2015
This presentation will demonstrate that it is possible to turn the promise of Big Data into business value by applying predictive analytics to Big Data sources such as Hadoop, Cloudera, and BigInsights.
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big data, analytics, forecasting, data management, hadoop
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
IBM Customer Analytics solutions can help improve marketing campaigns.
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customer analytics, crm, prospect, marketing campaigns, data
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
"71% of consumers do some digital research before buying an insurance policy, and 26% of those surveyed had purchased their policies online. Insurance companies are investing in interactive websites, mobile apps, and analytics software to help them optimize their processes, increase sales, improve customer service, and boost their financial standing. But is this enough to keep up? As technology continues to advance, leading insurance companies are already looking ahead to the next big advance that will transform the industry: cognitive computing."
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cognitive computing, analytics software, ibm, insurance, process automation, business technology
    
IBM
Published By: Cornerstone OnDemand     Published Date: Jan 31, 2018
Over the past decade, talent management initiatives have become a critical priority for organizations. While CEOs see the business value of talent management— typically talent acquisition, learning, performance, talent mobility, compensation, and analytics—some organizations have found it challenging to quantify the business impact or return on such investments. If you are looking for help in building a talent management business case, this overview was created for you.
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Cornerstone OnDemand
Published By: IBM     Published Date: Oct 16, 2014
Read how your organization can maximize the value of analytics by moving beyond a focus on customers to drive excellence in operations.
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supply chain, decision management solutions, business analytics, operational excellence
    
IBM
Published By: IBM     Published Date: Oct 16, 2014
As part of the IBM® SMART Program, Andrews Distributing worked with Southern Methodist University to develop a predictive analytics solution that mines data on 1,000 SKUs sold at 10,000 retailers, and reveals new insights about beer category sales in different retail environments.
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distribution model, analytics services, predictive analytics, sales growth
    
IBM
Published By: IBM     Published Date: Jun 20, 2014
In this video, see how Greenwell Financial marketers use IBM's Digital Experience platform to make customers the center of attention to drive business value. This demo highlights IBM's latest capabilities including Site Wizard, Digital Data Connector, Marketing Center, Media Analytics and more.
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ibm, digital experience, digital strategy, marketing, digital experience platform, social media analytics, customer engagement
    
IBM
Published By: Infor     Published Date: Apr 01, 2010
This paper explores the dilemma of looking into retention rates and customer profitability and offers a solution to this dilemma. You'll also learn how to increase customer loyalty and retention while increasing revenue.
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infor, targeted promotion, customer loyalty, retention rates, customer profitability, real-time data, analytics, crm
    
Infor
Published By: SPSS     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 technology sector.
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spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
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, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
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, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
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.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS, Inc.
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: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
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sas, organizational insights, operationalizing analytics, sas’ information evolution model
    
SAS
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: Mar 31, 2016
Analytics is more important to success than ever before, and it’s a business practice that has momentum. Fifty-eight percent of the respondents in a recent survey published in the MIT Sloan Management Review stated that the use of analytics gave their companies a competitive advantage, up from 37 percent the prior year. Enterprise-scale companies report dramatic successes with analytics.
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analysis, development management, data management, business intelligence, best practices
    
SAS
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