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Published By: IBM     Published Date: Aug 05, 2014
Gaining a full understanding and a single view of each customer—what makes them tick, why they buy, how they prefer to shop, why they switch, what they’ll buy next, what factors lead them to recommend a company to others—is strategic for virtually every company. Download here to learn how to create insight from your data with the MCM advantage.
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ibm, mdm, insight, data, big data, it management, data management
    
IBM
Published By: IBM     Published Date: Aug 05, 2014
IBM® InfoSphere® Master Data Management (MDM) helps organizations gain a comprehensive and accurate 360-degree view of their customers. This 360-degree view, when integrated with a CRM solution such as Salesforce.com, helps organizations improve the effectiveness of their CRM initiatives to help companies: -Increase user productivity -Improve sales and marketing performance to increase win rate and revenue -Mitigate risks associated with poor customer data Download here to learn more!
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ibm, salesforce, mdm, crm, initiatives, data, it management, data management
    
IBM
Published By: IBM     Published Date: Aug 28, 2014
Analyst report from Aberdeen on how companies using analytics as part of customer service activities perform compared to those without analytics.
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analytics, service analytics, customer lifecycle
    
IBM
Published By: IBM     Published Date: Sep 16, 2014
To compete in today’s rapidly changing business environment, organizations need to capture, analyze and act on information rapidly. If they can quickly identify trends, discover patterns and generate new insights, they can address a wide array of strategic and operational goals—from increasing customer loyalty and creating targeted marketing offers to enhancing operational efficiency and reducing risk. In their report, Business Value of Big Data on Power Systems, NC State University talks about unlocking the business value of big data, and how IBM Power Systems can deliver the foundation for organizations to bring insight to the point of impact faster.
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big data, targeted marketing offers, ibm power systems, structured data, data management
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next. The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, combined, trusted 360-degree view of all data related to customers, accounts, products and other entities. The combined solution enables organizations to gain a deeper understanding of customer sentiment, increase customer loyalty and satisfaction, and get the right information to the right people to provide customers what they need to solve problems, cross-sell and up-sell.
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data integration, customer loyalty, customer service, big data, data management
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
Salesforce.com is an industry leading cloud CRM solution which helps organizations streamline and effectively manage sales processes, customers and opportunities. The effectiveness of these initiatives can be improved dramatically by providing Salesforce with a 3600 view of the Customer to overcome the limitation of fragmented data that Salesforce currently relies on. This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources. This data is integrated seamlessly within Salesforce.com to help your sales teams get a complete view of the customer to help find the right contacts, allocate resources efficiently and identify new opportunities. This helps your sales teams be more efficient, effective and ultimately improve your win rate and drive more revenue.
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salesforce, crm solution, data integration, data management
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
Read this Gartner Report: Gartner Magic Quadrant for Customer Master Data This Gartner's Magic Quadrant offer insight into the part of the packaged MDM solution market that focuses on how organizations master and share a ""single version"" of customer data
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data management, customer data solutions, mdm, software products, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
How can organizations tap into the vast flow of data, weed out the information that matters, and then link that meaningful sentiment to specific customers? This ebook explores how an enhanced 360-degree view of the customer optimizes and facilitates more personalized customer interactions.
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marketing, business strategy, customer service, big data, it management
    
IBM
Published By: IBM     Published Date: Oct 22, 2014
Great service is delivered one customer at a time and improving interactions across all channels means truly understanding customer wants and needs. Massive amounts of unstructured data exist in your organization and can deliver customer insight that is specific, relevant and actionable. Learn how to harness that data to provide great customer service.
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customer service, service quality, customer satisfaction, content management, it management, data management
    
IBM
Published By: IBM     Published Date: Nov 06, 2014
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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big data, data integration, analytics, customer matching, ibm, networking, data management, data center, research
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, big data, insights, infosphere, data management, dashboards, value, data matching, analytics, challenges, hadoop, knowledge management, business technology
    
IBM
Published By: IBM     Published Date: Feb 19, 2015
Read how Big Data and Analytics can help businesses deliver on customer needs, acquire customers, increase profitability and help retain the most valuable customers.
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big data, business analytics, customer retention, customer aquisition, it management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Apr 09, 2015
As The Business Becomes Digital, Security Must Become Data-Centric S&R leaders of enterprises undergoing a digital transformation will soon realize that in order to adequately ensure customer protection and enable a digital workforce, S&R pros must abandon traditional perimeter-based security and put the focus on the data by embracing Forrester’s Zero Trust Model.
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data security, ibm, customer protection, digital workforce, zero trust model, security, it management, knowledge management, data management
    
IBM
Published By: IBM     Published Date: Jul 01, 2015
This whitepaper talks about the steps to cloud expertise solutions
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hybrid cloud solutions, customer experience, hybrid cloud, data analytics, data sharing, infrastructure as a service, iaas, data integration, cloud environment, productivity management
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
This white paper will discuss how the X-Force team collects, analyzes and distributes threat intelligence to IBM customers, as well as how this data is used to enrich the capabilities of the IBM Security portfolio.
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intelligence technology, security management, threat intelligence, intelligence protection, security solutions
    
IBM
Published By: IBM     Published Date: Nov 03, 2015
In order to meet the changing demands of their customers, organizations need the right solution that can help them harness the vast amounts of customer data in ways that yield personalized, seamless customer experiences. That solution is IBM Watson Engagement Advisor.
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ibm, watson, application, powerful information, networking, software development, it management, enterprise applications, data management, knowledge management, storage, it career advancement, business technology, data center, research
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
"Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data."
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ibm, mdm, big data, trusted data, data solutions, data management
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, mdm, big data, data management, data matching, customer analytics
    
IBM
Published By: IBM     Published Date: Sep 30, 2016
Data is the lifeblood of today’s digital businesses; protecting it from theft, misuse, and abuse is the top responsibility of every S&R leader. Hacked customer data can erase millions in profits, stolen IP can destroy competitive advantage, and unnecessary privacy abuses can bring unwanted scrutiny and fines from regulators while damaging reputations. S&R pros must take a data-centric approach that ensures security travels with the data regardless of user population, location, or even hosting model; position data security and privacy capabilities as competitive differentiators; and build a new kind of customer relationship.
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ibm, security, data, privacy, forrester, forrester research, data management, business technology
    
IBM
Published By: IBM     Published Date: Jan 09, 2017
Read about IBM solutions that can help you comply with the upcoming GDPR governing the privacy and security of user and customer data.
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ibm, security, identity governance and intelligence, identity governance, gdpr, governance, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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customer analytics, data analysis, competitive advantage, understanding your customer base
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
How can organizations tap into the vast flow of data, weed out the information that matters, and then link that meaningful sentiment to specific customers? This e-book explores how an enhanced 360-degree view of the customer optimizes and facilitates more personalized customer interactions.
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personalized customer interaction, customer experience, data, marketing channels
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Are you looking to add new data domains or solve new business problems? IBM InfoSphere MDM comprises a complete MDM suite with multi-domain MDM capabilities and built-in domain patterns. IBM offers several editions of InfoSphere MDM, each designed to integrate with your existing architectures and business processes. You can choose the platform that best meets your immediate and long-term needs.
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cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
    
IBM
Published By: IBM     Published Date: Sep 10, 2018
Read about IBM solutions that can help you comply with the upcoming GDPR governing the privacy and security of user and customer data.
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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Group M_IBM Q418
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