big data analytics

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Published By: ClearSlide, Inc     Published Date: Feb 25, 2015
Organizations treat customer data as a key component of CRM. Many organizations see an effective customer data management strategy as an important cornerstone of their CRM strategy. Most organizations are moving beyond tactical CRM initiatives focused on saving cost and driving efficiency to making their organization more effective and focused on driving better customer engagement and experience. Customer data is used to enhance customer experiences, improve service quality, target marketing efforts, capture customer sentiment, increase upsell opportunities and trigger product and service innovation.
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crm, big data, customer engagement, customer service, emerging marketing, crm & customer care, marketing research
    
ClearSlide, Inc
Published By: IBM     Published Date: Jun 17, 2014
Key findings from an industry roundtable on enterprise risk transformation in Canadian banking.
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ibm, risk enabled enterprise, enterprise risk management, erm, big data, data aggregation, corporate governance, business analytics, cultural alignment
    
IBM
Published By: Platfora     Published Date: Aug 03, 2015
A survey of more than 395 C-level executives, sponsored by Platfora, shows that senior leaders are optimistic about the capabilities of big data, but many still struggle with big data applications.
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platfora, big data, hadoop, data center, big data analytics
    
Platfora
Published By: IBM     Published Date: Jan 06, 2016
In the age of big data and workforce analytics, statistics and metrics abound. In the face of an overabundance of numbers, knowing which metrics are most important can be a real challenge for Human Resource (HR) leaders and hiring managers.
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big data, workforce, statistics, metrics, ibm
    
IBM
Published By: HP Software     Published Date: Oct 20, 2015
The HP Service Anywhere user interface is currently one of the best offered by an ITSM solution.
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swot, big data, analytics, management, applications
    
HP Software
Published By: IBM     Published Date: Mar 28, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, smarter workforce, talent management, talent analytics
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
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ibm, talent acquisition, talent acquisition technology, human resources, recruiting
    
IBM
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: IBM     Published Date: May 27, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media
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ibm, big data, analytics, insurance, insurance industry, big data solutions, integration, risk assessment, policy rates, customer retention, claims data, transaction data
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
IBM offers a comprehensive solutions portfolio that helps insurance companies integrate big data and analytics capabilities into their telematics strategy. The portfolio incorporates dozens of new patented technologies developed by IBM Research and builds on IBM Watson Foundations.
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telematics, ibm, insurance, big data, comprehensive solutions
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
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big data, ibm, claims operations, customer service
    
IBM
Published By: IBM     Published Date: Apr 15, 2016
Ziff Davis Custom Whitepaper: Analytics relies on BI, Big Data, and data discovery to provide reporting, trend analysis, and what-if analysis.iii Analytics is defined as the scientific process of transforming data into insight for making better decisions.
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ibm, business analytics, business intelligence, agile, decision making, big data
    
IBM
Published By: IBM     Published Date: Jul 01, 2015
This paper discusses why it is important for healthcare organizations to become data driven, gives examples of organizations that are already leveraging a wide range of big data.
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clinical analytics, enhanced data foundation, data-driven healthcare organization, integrated data sources, data lifecycle management, big data, healthcare analytics solutions
    
IBM
Published By: IBM     Published Date: Sep 30, 2015
Big data analytics to help better protect and secure.
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healthcare, enterprise, security, data
    
IBM
Published By: IBM     Published Date: Nov 12, 2015
Hear from the University of Michigan Health System’s CMIO, Dr. Andrew Rosenberg, to learn how this institution is achieving their goal for internal/external operability in support of their enterprise analytics roadmap to support its clinical, research, education and administrative missions. Learn more about the specific challenge's that were solved, how they integrated systems of record with medical devices, and hear about their plans for future integration.
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ibm, big data, enterprise analytics, emr, research interfaces
    
IBM
Published By: IBM     Published Date: Mar 30, 2016
The IBM Enterprise Health Analytics solution delivers immediate value for an organization’s specific business analytics while laying the foundation for future analytics capabilities that may be added as needs evolve.
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ibm, healthcare, healthcare analytics, big data, ibm enterprise health analytics
    
IBM
Published By: IBM     Published Date: Mar 30, 2016
It is important for healthcare organizations to become data driven. IBM can help organizations leverage a wide range of big data to deliver clinical and financial benefits, and the provide the steps organizations should take to become data driven.
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ibm, healthcare, big data, healthcare analytics, enterprise analytics systems
    
IBM
Published By: IBM     Published Date: Mar 30, 2016
This white paper discusses how enterprise analytics systems can assist provider organizations in building sustainable healthcare systems and achieving their vision for accountable care—from near-term demands for regulatory and quality reporting to transforming care delivery.
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ibm, healthcare analytics, healthcare, big data, enterprise analytics systems
    
IBM
Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
Published By: SAS     Published Date: Mar 19, 2013
From Basics to Big Data with SAS® Visual Analytics
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big data, visualization, interactive, data, data visualization
    
SAS
Published By: SAS     Published Date: Mar 19, 2013
Download this whitepaper to learn more about how you can quickly make informed decisions based on massive amounts of data.
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big data, visualization, interactive, data, data visualization
    
SAS
Published By: SAS     Published Date: Sep 13, 2013
Insights from a webinar in the Applying Business Analytics Webinar Series
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sas, hadoop, big data, software framework, webinar, business analytics webinar series
    
SAS
Published By: SAS     Published Date: Sep 13, 2013
Big Data in Big Companies
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sas, big data, business intelligence, business analytics software
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
There is a continuing disconnect between lT and lines of business with regard to analytics. While IT sees itself contributing to and guiding analytics strategy, LOB is more likely to see it as a roadblock. But the nature of analytics is changing, presenting a new, unique role for the CIO.
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sas, cio, idc, lob, it organization, analytic's value, data integrator, disconnect, analytic strategy
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
In this study, we identified many ways that IT is perceived to be a roadblock to a successful analytics strategy and a number of disconnects between how IT and lines of business view IT’s role.
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sas, data strategy, idc, productive collaboration, analytic's strategy, counterparts, support
    
SAS
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