data and analytics

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Published By: Netezza IBM US     Published Date: Mar 27, 2012
IBM Netezza data warehouse appliances push the limits of analytics by fusing our ground breaking data warehouse appliances with high performance, scalable analytics that can process massive data to solve complex problems orders of magnitude faster than typical solutions. IBM Netezza Analytics, IBM's embedded advanced analytics platform delivered with every appliance, enables the development and deployment of analytics to drive game changing results.
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ibm, technology, netezza, analytics, enterprise analytics, business technology
    
Netezza IBM US
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
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: Aug 06, 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, insurance, data, big data, analytics, solutions, business technology
    
IBM
Published By: IBM     Published Date: Aug 08, 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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big data, analytics, insurance, customer service, solutions
    
IBM
Published By: IBM     Published Date: Aug 08, 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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big data, analytics, insurance, customer service, solutions
    
IBM
Published By: SAS     Published Date: Jun 06, 2018
Today’s consumers expect immediate, personalized interactions. To meet these expectations, companies must differentiate their brands through timely, targeted and tailored customer experiences based on real-time data analytics. This report, sponsored by SAS, Intel and Accenture and conducted by Harvard Business Review Analytic Services, looks at how businesses are using advanced customer data analytics, along with real-time analytics and real-time marketing, to enhance their customers’ experiences. Learn why organizations that place a high value on real-time capabilities still struggle to achieve them, what companies can do to ensure success as they adopt and implement real-time analytics solutions, and what benefits successful companies are already seeing.
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SAS
Published By: Anaplan     Published Date: Apr 02, 2019
49% surveyed cite insufficient revenue growth as the top pressure motivating sales performance management initiatives. And on top of that, 58 percent of sales reps are struggling to meet their current sales quotas. In this winner-takes-all market, sales leadership is faced with an uphill battle in driving sales performance. The pressure on sales to meet and exceed ever-increasing revenue targets is higher than ever before. Download this exclusive report to learn new insights on how sales performance data and analytics are driving peak sales performance.
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Anaplan
Published By: SAP     Published Date: Dec 04, 2015
Download this whitepaper to see how advanced technologies such as big data, cloud computing, mobile devices, and enterprise access to in-memory platforms, predictive analytics, and planning software can help CFOs make better and more sophisticated use of data, influence decisions, and take practical, timely action.
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finance function, finance, cfo, big data, cloud computing, mobile, in-memory platforms, predictive analytics, planning software
    
SAP
Published By: SAS     Published Date: Jan 17, 2018
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
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SAS
Published By: TIBCO Software     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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TIBCO Software
Published By: VisiStat     Published Date: Mar 22, 2007
Old Log File analytics data was good – today's hosted on-demand Web analytics reporting is much better. What once was only understandable by IT personnel now has a place on the desktops of sales, marketing and business professionals. Read about the differences, and improvements, in analytics.
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web analytics, hosted analytics, hosted solution, snippet, page snippets, snippet technology, code snippets, code tag, web logs, log files, server logs, server log files, log-file analysis, web metrics, on demand reporting, real time data, real-time reporting, data collection, statistics analysis, business metrics
    
VisiStat
Published By: Groove     Published Date: May 16, 2018
HotSchedules is a technology company that streamlines several aspects of running a business in the service industry. The sales team at HotSchedules had been using Salesforce for several years, but they were spending a lot of time on data entry and other manual tasks. They needed a way to simplify recordkeeping so they could spend more time talking to prospects. The HotSchedules sales team is taking advantage of the full suite of features in Groove to enhance their sales operations at every turn — from Salesforce integration to multi-step campaigns to analytics. Let’s take a look.
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Groove
Published By: SAS     Published Date: Nov 16, 2018
Medicaid fraud is prevalent, costly and difficult to prevent. With a combination of more integrated data and advanced analytics, state agencies can turn the tables on fraudsters. They can accelerate the transition from detection to prevention, as new forms of fraud are recognized faster and fewer improper payments go out the door. This IIA Discussion Summary explores the challenges and opportunities in preventing Medicaid fraud in an interview with SAS’ Ellen Joyner-Roberson, Principal Marketing Manager for Fraud and Security Intelligence, and Victor Sterling, Principal Solutions Architect.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
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SAS
Published By: IBM     Published Date: Apr 29, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer profitability, customer profitability analytics, transaction data, predictive analytics, customer behavior
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer, profit, analytics, costing models
    
IBM
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: Flexera     Published Date: Nov 19, 2018
In today’s competitive world, using new technology to set your business apart can make the difference between getting ahead or falling behind. But staying in control of the growing complexity is tough. Enterprise Architecture (EA), IT Service Management (ITSM) and Security teams need enriched technology asset data and accurate analytics so they can keep the enterprise running like a well-oiled machine. Join us to hear R “Ray” Wang, Principal Analyst and Founder of Constellation Research, and Alan Lopez, Senior Director of Global Product Marketing from Flexera, discuss use cases where asset data and analytics are becoming business-critical.
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Flexera
Published By: Infor     Published Date: Jan 03, 2011
You need a path through this madness.In this recorded webicast, Steve Muran will take you through a case study of how he methodically built and managed a cross-enterprise, multichannel program that deepened the customer wallet share. Steve will discuss the why, where, and how his lead generation capabilities made customer cross-sell, up-sell, and retention easier by highlighting the critical importance of customer data and analytics.
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infor, cross-enterprise, lead generation, retention, customer data and analytics, social media
    
Infor
Published By: Infor     Published Date: Jan 06, 2011
You need a path through this madness.In this recorded webicast, Steve Muran will take you through a case study of how he methodically built and managed a cross-enterprise, multichannel program that deepened the customer wallet share. Steve will discuss the why, where, and how his lead generation capabilities made customer cross-sell, up-sell, and retention easier by highlighting the critical importance of customer data and analytics.
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infor, cross-enterprise, lead generation, retention, customer data and analytics, social media
    
Infor
Published By: Comcast Business     Published Date: Dec 04, 2018
The use of data analytics as a driver for increased efficiencies and better customer service is proving valuable across industries. In the QSR space, data analytics is being adopted as a way to help QSRs stay competitive and grab a larger share of the market, as customers increasingly include speed and convenience as important factors in choosing where to eat.
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Comcast Business
Published By: Workday     Published Date: Sep 19, 2018
Hoarding data isn’t doing much to help your financial services firm if you can’t easily combine data from multiple sources and quickly run analytics. But there is a way to turn those heaps of data into actionable insights to get clearer answers to your biggest questions and better drive your firm’s strategy. Read the blog to learn how to improve your back end to go from data hoarding to decision-making.
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Workday
Published By: AWS     Published Date: Dec 17, 2018
Watch this webinar to understand how FINRA leverages Splunk with a variety of AWS services such as Amazon Kinesis Data Firehose and AWS Lambda as the data analytics destination to gain real-time insights for powerful visualizations, comprehensive reporting and meaningful alerts.
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AWS
Published By: FICO     Published Date: Mar 02, 2018
Improved availability of data and new technologies that use it are disrupting our lives, influencing the way we interact with other, and the way we gather and consume information to make decisions. Businesses too are living in a time of continuous technological upheaval. The application of key technologies such as Machine Learning and Artificial Intelligence and Optimization, are fundamentally changing the manner in which businesses make decisions. This paper is your first step in understanding: • how you can leverage and operationalize analytics in your everyday business processes • improve customer relationships • grow revenue in an increasingly competitive world
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fico, customers, analytic, management, applications, solutions
    
FICO
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