ibm analytics

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Published By: IBM     Published Date: Jan 19, 2017
Watch this video to learn how IBM Datacap and Box enable better customer centricity through the capture of data across mobile devices, scanners, email, fax and files. This solution works with Box to store documents in the cloud.
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ibm, analytics, data, ibm box, customer centricity, ibm datacap
    
IBM
Published By: IBM     Published Date: Feb 16, 2017
Watch this video to learn how IBM Datacap and Box enable better customer centricity through the capture of data across mobile devices, scanners, email, fax and files. This solution works with Box to store documents in the cloud.
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ibm, ecm, analytics, ibm datacap, ibm box
    
IBM
Published By: Group M_IBM Q119     Published Date: Feb 28, 2019
Companies of all sizes have a critical need to match supply and demand as efficiently as possible, in order to quickly capture maximum demand at the lowest possible cost. This tutorial will walk you through a demand forecasting and planning solution that can help you deliver more accurate demand forecasts, optimized operations to satisfy demand, and a complete operational and financial plan that the business can use in practice. In this tutorial, you will explore the following key capabilities: Improve decision-making in a single workspace with IBM Planning Analytics Deliver timely, reliable plans and forecasts with the addition of SPSS Modeler Create optimal demand plans with the addition of IBM ILOG CPLEX Optimization Studio
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Group M_IBM Q119
Published By: IBM Software     Published Date: Feb 14, 2011
This white paper explores how predictive analytics helps marketing organizations increase ROI by executing highly targeted campaigns focused on high revenue-generating customers and prospects.
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ibm cognos, predictive analytics, marketing campaign management system, roi, customer behaviour
    
IBM Software
Published By: IBM Software     Published Date: Feb 11, 2011
This white paper explores how predictive analytics helps marketing organizations increase ROI by executing highly targeted campaigns focused on high revenue-generating customers and prospects.
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ibm cognos, predictive analytics, marketing campaign management system, roi, customer behaviour, interactive/pr agencies, crm solutions/software, customer experience/engagement
    
IBM Software
Published By: IBM Software     Published Date: Jun 08, 2011
This white paper explores how predictive analytics helps marketing organizations increase ROI by executing highly targeted campaigns focused on high revenue-generating customers and prospects.
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ibm cognos, predictive analytics, marketing campaign management system, roi, customer behaviour
    
IBM Software
Published By: IBM     Published Date: Aug 01, 2012
Discover how using predictive analytics can help your company convert prospects and cross-sell to existing customers. The campaign optimization capabilities provided with predictive analytics offer an unprecedented level of targeting and coordination across all channels - quickly resulting in decreased costs and increased revenue.
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ibm, marketing, technology, campaign profitability, predictive analytics, analytics, roi, crm
    
IBM
Published By: IBM Watson Health     Published Date: Mar 30, 2018
Chilmark Research, a global research and advisory firm, recently released a report rating vendors and solutions in the healthcare analytics industry. IBM Watson Health, a leader in healthcare analytics, has put together this infographic comparing how its solutions stack up against some of the closest competitors in the industry in areas such as population discovery and definition, predictive analytics, cost and utilization, and claims data contribution.
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analytics, infographic, predictive analytics, cost utilization, population discovery, claims data, healthcare, chilmark
    
IBM Watson Health
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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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: Jan 26, 2017
This whitepaper talks about how organized criminals and lone fraudsters are continuously adapting to the ever-changing world we live in. Through IBM solutions for insurance fraud prevention, both enterprise and industry-wide financial institutions can prevent future fraud.
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ibm, analytics, insurance fraud, insurance, organized crime
    
IBM
Published By: IBM Smarter Analytics     Published Date: Jun 04, 2012
Learn how Westfield Insurance developed an award-winning, business-led smarter analytics competency
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ibm, business analytics, business solutions, insurance, smarter analytics, business intelligence strategy, integrated analytics, insurance agency performance
    
IBM Smarter Analytics
Published By: IBM     Published Date: Nov 09, 2012
This paper describes what operational analytics is and what it offers to the business. We explore its relationship to business intelligence (BI) and see how traditional data warehouse architectures struggle to support it.
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ibm, db2 analytics acclerator, analytics integration, business intelligence
    
IBM
Published By: IBM     Published Date: Oct 06, 2014
IBM’s Social Media Analytics solution helps your company take advantage of everything social media has to offer in terms of getting closer to your customers, combining social media analysis and reporting with IBM SPSS predictive analytics technology.
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social media, advanced analytics, customer insight, social media analytics
    
IBM
Published By: IBM     Published Date: May 26, 2017
A significant challenge for many organizations has been enabling their analysts to find the "unknown unknown." Whether that unknown is malware lurking within the enterprise or within slight variations in fraudulent transactions, the result has been the same: enterprises continue to fall victim to cybercrime. IBM is addressing this challenge with IBM i2 Enterprise Insight Analysis. By pairing multi-dimensional visual analysis capabilities with powerful analytics tools, IBM is giving the analyst team an effective early-detection, cyberintelligence weapon for its arsenal.
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security. ibm, ibm i2, cyber-intelligence, fraud, malware
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Read this report to gain more insights from the Telecoms.com Intelligence survey, and learn why telecommunications operators need analytics to understand their customers—and maintain their loyalty.
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ibm. telecom, data, analytics, customer management, customer loyalty, crm & customer care
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
To meet the needs of demanding consumers, retailers need a new level of intelligence that extends and helps coordinate prices across all channels and helps solve the challenge of disappearing margins. Watch this IBM-sponsored webinar to hear from Brian Kilcourse, Managing Partner at RSR Research, as he shares research and insights that can help you ensure that your dynamic pricing strategy is intelligent, timely, coordinated and successful.
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ibm, commerce, analytics, retail, merchandising, pricing, dynamic pricing, intelligent pricing
    
IBM
Published By: IBM     Published Date: May 17, 2016
Analyst Mike Ferguson of Intelligent Business Strategies writes about the enhanced role of transactional DBMS systems in today's world of Big Data. Learn more about how Big Data provides richer transactional data and how that data is captured and analyzed to meet tomorrow’s business needs. Access the report now.
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ibm, intelligent business solutions, big data, transaction data, business analytics
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
IBM's Intelligent Pricing approach helps you to make the right pricing decisions for your business throughout the selling season. Watch a video demonstration that follows Ski Sales, a specialty retail store. Explore how to optimize online and offline pricing capabilities to ensure consistent support through all business channels and across the product lifecycle with Price Optimization, Markdown Optimization and Dynamic Pricing.
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ibm, analytics, commerce, retail, merchandising, pricing, intelligent pricing
    
IBM
Published By: IBM     Published Date: Apr 26, 2016
New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures. Please view this webcast and learn: - The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes - The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency
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ibm, ibm banking industries, risk management, predictive analytics, fraud, cognitive computing
    
IBM
Published By: IBM     Published Date: Apr 19, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
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ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : 
ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
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ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: IBM Business Analytics     Published Date: Jun 03, 2011
Download your copy of this complimentary handbook to learn about the HMRC Mandate, find out what XBRL is and learn the essentials of "tagging" data, iXBRL compliance tools and options.
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ixbrl, ixbrl compliance, hmrc, hmrc reporting, tagging, audit, finance
    
IBM Business Analytics
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