ibm analytics

Results 76 - 100 of 636Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: Oct 18, 2016
This eBook takes you on a journey to outthink content chaos and discover how your industry can gain real value from your business content. Read how industry leaders are reflecting on the important challenges they face, and how they are finding innovative ways to collaborate and extract value from all forms of content to outpace those obstacles. Learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it, improving business performance and ROI.
Tags : 
ibm, analytics, ecm, content, business content, enterprise content management
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Informative infographic featuring case management and data capture solutions to put the customer experience first.
Tags : 
ibm, ecm, data analytics, analytics, big data, customer experience
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
Tags : 
    
IBM
Published By: IBM     Published Date: Mar 29, 2017
Not just some data—all of it. Internal, external, structured, unstructured, historical, real-time. And what if you could do it without a huge infrastructure project? You can. Take a closer look at how three companies capitalized on more data—almost instantly—with IBM® BigInsights® on Cloud.
Tags : 
analyze, data, cloud, ibm, analytics
    
IBM
Published By: IBM     Published Date: Jul 21, 2016
IBM's recently released DB2 version 11.1 for Linux, Unix and Windows (LUW) is a hybrid database that IBM says can handle transactional and analytic workloads thanks to its BLU Acceleration technology, which features an in-memory column store for analytical workloads that can scale across a massively parallel cluster.
Tags : 
ibm, db2. analytics, mpp, data wharehousing
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration technology does exactly that. While BLU isn't brand new, the ability to spread the column store across a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology. That, along with simpler monthly pricing options and integration with dashDB data warehousing in the cloud, makes DB2 for LUW, a very versatile database.
Tags : 
memory analytics, database, efficiency, acceleration technology, aggregate data
    
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.
Tags : 
database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Mar 04, 2016
An analytics-based marketing platform can help marketers tackle the opportunities and challenges of a data and consumer-driven marketplace.
Tags : 
ibm, analytics, marketing platform, data
    
IBM
Published By: IBM Watson Health     Published Date: Jun 14, 2017
Learn how IBM Watson Health clinical application advisors helped Floyd Health Care System take full advantage of the platform’s many benefits. Business Challenge As part of its journey toward population health management, Floyd wanted to optimize the way it used the IBM® Phytel® solution from IBM Watson Health™ and take advantage of its analytical tools. Transformation With help from an IBM Watson Health clinical application advisor, Floyd expanded its IBM solutions and used their unique capabilities to progress toward a more robust population healthcare model by adding care coordination activities and improving key process measures.
Tags : 
floyd health care system, ibm, ibm watson health, analytics, healthcare
    
IBM Watson Health
Published By: IBM     Published Date: Apr 26, 2016
Restoring connections: How telecommunications providers can reboot the customer experience IBM has more than 22,000 experts working in the Telecommunications industry, delivering solutions to more than 200 major communications service providers globally. IBM’s telecommunications capabilities are backed by a global network of telecom solution labs, research labs and innovation centers to support its offerings in the area of analytics, cloud, mobility, network optimization, digital transformation and global integration. IBM continues to invest significantly in key acquisitions to add expertise and capabilities that enable its clients in the telecommunications space.
Tags : 
ibm, ibm institute for business values, telecommunications, customer experience, communications service providers, csp, customer relationship, customer experience/engagement
    
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
Tags : 
ibm, ibm banking industries, risk management, predictive analytics, fraud, cognitive computing
    
IBM
Published By: IBM     Published Date: May 03, 2016
The new frontier for personalized customer experience: IBM Predictive Customer Intelligence This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue. Along with explaining the architecture of the solution, this paper covers how the solution works.
Tags : 
ibm, business analytics, ibm predictive customer intelligence, crm & customer care
    
IBM
Published By: IBM     Published Date: May 03, 2016
How Customer Analytics & Insight Research enrich customer journey design: A Practicioner's Guide to Customer Engagement via Multi-Channel Journey Design A report by Hypatia Research Group
Tags : 
ibm, customer analytics, insight research, customer engagement, crm & customer care
    
IBM
Published By: IBM     Published Date: May 03, 2016
In this report you will learn how to enhance your customer relationships across all your channels and touch points, produce personalized customer offers and learn from real-world case studies across various industries.
Tags : 
ibm, ibm predictive customer intelligence, business analytics, customer relations, crm & customer care
    
IBM
Published By: IBM     Published Date: May 03, 2016
In our 33-criteria evaluation of customer analytics vendors, we identified the 11 most significant software providers in this category - adobe, agilone, alteryx, angoss, FICo, IBM, Manthan, Pitney Bowes, saP, sas, and teradata - and researched, analyzed, and scored them. this evaluation details our findings about how well each vendor fulfills our criteria and where each vendor stands in relation to each other. this report will help customer insights (CI) professionals and marketers make the right choice for their customer analytics needs.
Tags : 
ibm, forrester, customer analytics, customer insights, crm & customer care, customer experience/engagement
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselve
Tags : 
ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This e-book highlights the benefits of Hadoop across several industries and explores how IBM® Biglnsights for Apache™ Hadoop® combines open source Hadoop with enterprise-grade management and analytic capabilities.
Tags : 
ibm, analytics, big data, hadoop, enterprise, ibm biginsights, apache, enterprise management
    
IBM
Published By: IBM     Published Date: Jul 27, 2016
IBM i2 Enterprise Insight Analysis helps analysts and investigators turn large data sets into comprehensive intelligence, in near real-time. With the help of advanced analytics and visual analysis capabilities, analysts can uncover hidden connections, patterns and trends buried in disparate data. Equip analysts and those on the front line with the tools they need to generate actionable intelligence, with mission critical speed.
Tags : 
ibm, cyber threat analysis, ibm i2 enterprise insight analysis, cyber security, business intelligence
    
IBM
Published By: IBM     Published Date: Jul 28, 2016
Third party white paper from FitforCommerce and IBM on the 5 roadblocks to avoid on the journey to omnichannel retail success.
Tags : 
ibm, omnichannel, omnichannel retail success, fitforcommerce, commerce, analytics
    
IBM
Published By: IBM     Published Date: Jul 28, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
Tags : 
ibm, commerce, analytics, business insight, business analytics, business advisor, commerce data, predictive analytics
    
IBM
Published By: IBM     Published Date: Jul 28, 2016
Watch this short video to see how the right commerce solution can help you understand your customers like never before, and deliver exactly what they want.
Tags : 
ibm, commerce, cloud, cloud computing, commerce solutions, analytics
    
IBM
Published By: IBM     Published Date: Jul 29, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
Tags : 
ibm, commerce, data, insights, analytics, analytics tools, ibm customer experience analytics, customer experience/engagement
    
IBM
Published By: IBM     Published Date: Aug 01, 2016
As digital transformation accelerates, the opportunity to engage customers digitally has never been greater — but so has the threat of not delivering great customer experiences. In order for customer insights professionals to compete, the use of customer understanding to optimize experiences at scale must be at the heart of all digital transformation initiatives. Digital intelligence provides a vision and approach that captures a holistic view of the customer in order to optimize digital interactions, engagements, and experiences. During his talk James McCormick will describe the vision and need for digital intelligence; the approach needed to make it a strategic initiative, and ultimately, how it will provide a competitive advantage.
Tags : 
ibm, commerce, customer experience, analytics, customer engagement, customer insight, crm & customer care
    
IBM
Published By: IBM     Published Date: Aug 16, 2016
In this executive report, based on cumulative research over the past five years by the IBM Institute for Business Value we will explore how the emergence of digital technology, and the increasing willingness of consumers to use it, has disrupted the retail industry at virtually every level – from shoppers, to megastores, to digital to social media, and more. Further, we will provide recommendations that can enable retailers to position themselves to slice through this disruption and provide seamless, omnichannel customer experiences and conversations that can help build customer loyalty, create value and positively impact the bottom line.
Tags : 
ibm, commerce, retail, customer analytics, ibm institute for business value, digital technology
    
IBM
Published By: IBM     Published Date: Oct 17, 2016
Why do organizations seek to design effective multi-channel customer journeys? Because customers today demand it. Download this research study from Hypatia Research Group to learn how global organizations are successfully utilizing various analytical techniques like descriptive, diagnostic, predictive, prescriptive and cognitive analysis to create a successful omni-channel customer journey.
Tags : 
ibm, commerce, analytics, customer analytics, insights, research, customer journey
    
IBM
Start   Previous    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15    Next    End
Search      

Add Research

Get your company's research in the hands of targeted business professionals.