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customer data management

Results 51 - 75 of 226Sort Results By: Published Date | Title | Company Name
Published By: Splunk     Published Date: Apr 16, 2012
Using Splunk, Cricket was able to identify system degradation and failures, even in the application area of Cricket's highly-automated and virtualized environment. Read about Cricket's impressive hard and soft ROI.
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splunk, cricket communications, virtualization, automation, customer behavior, data, analyzying, decision making, ime-series data, log management, log management software, manage logs, analyze logs, log analyzer, security log analysis, log management intelligence, log management compliance, compliance, log management operations, operations
    
Splunk
Published By: SugarCRM     Published Date: Jan 27, 2014
When making a CRM decision, it is important to ensure your deployment will not be hit with hidden fees or other extra costs that reduce the return on investment. This study reveals the total cost of ownership (TCO) among the three leading midmarket CRM solutions.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: Oracle     Published Date: Jan 28, 2015
Retailers continue to collect this data and many have made good use of it, segmenting and targeting customers and rewarding loyal behavior with discounts and offers. Still, many sense that there’s untapped potential. They’re right. With the cost of data storage plummeting and the capabilities of analytical tools on the rise, this data’s value is set to skyrocket. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail shares his view on how insights from these vast data storehouses can scientifically inform retailers’ decision-making in critical strategic, tactical and operational areas, including category management, shelf space allocation and new product introductions.
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Oracle
Published By: Kofax     Published Date: Sep 08, 2011
See how some retail banks have redirected their focus to a more customer -centric approach. This whitepaper includes success stories from Banco Inversis and GMAC Commercial Mortgage Corporation (now Ally Financial) which highlight how Kofax has helped them maintain and even increase their competitive edge.
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax
Published By: Gigya     Published Date: Jun 08, 2015
Companies recognize the importance of managing employee identities, data and permissions. But managing customer identity data requires an entirely different set of tools and technologies in order to keep up with the flood of data being generated as consumers interact across channels and devices.
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customer data management, employee identities, sso standards, organizational data silos, data privacy compliance, enterprise applications
    
Gigya
Published By: ForgeRock     Published Date: Sep 02, 2014
Watch this Gigaom Research On-Demand Webinar ; we will examine the immediate need to extend identity to customer audiences, the risks of doing so using legacy software, and the most effective path businesses can take to build for the future while recognizing value today.
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forgerock, api, customer service, crm, business intelligence, business data, access management, identity management, iam, remote access, web service security
    
ForgeRock
Published By: ForgeRock     Published Date: Mar 10, 2015
In the modern age, customers are in control of when, where, and how they consume information. In this environment, customer-focused companies strive to make their content available to an ever-growing number of connected users and devices on a much larger scale than ever before, and to gather as much data and insight from these interactions as possible. To achieve this securely, companies need identity and access management (IAM) platforms that are adaptable, scalable, responsive, and high velocity— not typical characteristics of employee-facing IAM, but all too typical of other systems of engagement. This species of solution is worthy of a unique name: identity relationship management (IRM).
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iam, irm, forrester, forgerock, platforms, relationship management, software development
    
ForgeRock
Published By: Adobe     Published Date: Apr 25, 2016
Der Schlüssel hierzu sind Daten. Es reicht jedoch nicht aus, Daten einfach nur zu erfassen. Sie müssen anhand der Daten ganzheitliche Kundenprofile erstellen und diese anschließend verwenden, um interessante, personalisierte und nachhaltige Erlebnisse zu entwickeln. Diese dreiteilige E-Book-Reihe erläutert Schritt für Schritt, wie Sie Daten tatsächlich verwenden können, um jedem Kunden das bestmögliche Erlebnis zu bieten.
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customer experience, marketing, data management
    
Adobe
Published By: IBM Software     Published Date: Jul 28, 2010
This study highlights best practices from 72 companies to identify how best in class organizations use data to achieve superior performance.
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ibm software, data driven marketing, best practice, performance, customer engagement, marketing measurement, data management, roi
    
IBM Software
Published By: IBM Software     Published Date: Jul 29, 2010
This study highlights best practices from 72 companies to identify how best in class organizations use data to achieve superior performance.
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ibm software, data driven marketing, best practice, performance, customer engagement, marketing measurement, data management, roi
    
IBM Software
Published By: SAS     Published Date: Aug 28, 2018
You may know some basics about data management, but do you realize the transformational results data-management-done-right can produce? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. From getting fast, easy access to trustworthy data to making better decisions and becoming a data-driven business, you’ll learn why good data management is essential to success. Multiple real-world examples illustrate how SAS customers have used data management to improve customer experience, boost revenue, remain compliant and become more efficient.
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SAS
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: Aug 20, 2013
Decisions, decisions. They can make or break marketing success. Yet as customers and channels grow more complex, so does decision-making. As choices multiply, marketing becomes more challenging than ever. The days when marketers could rely strictly on good judgment and business acumen are past. Technology for decision and process automation gives marketers a decided edge in making spot-on decisions that match individual customers to the best message, on a scale of millions. The process of Decide builds on customer data collection and analysis, and positions your organization for profitable engagement with your Generation C connected customers. It plays an essential role in Enterprise Marketing Management (EMM) along with the processes of Collect, Analyze, Deliver and Manage.
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enterprise marketing management, customer marketing, customer communication, interactive marketing, emm, process automation, marketing strategy, multi-channel marketing, customer relationship management, infrastructure, infrastructure management
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight, predictive analytics, business technology
    
IBM
Published By: SugarCRM     Published Date: Jan 27, 2014
Customer relationship management software has been used by organizations of all types and sizes for over 20 years. However, few have managed to tap into the true potential of CRM. Learn how the power of CRM for the individual can transform your entire business.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: HPE     Published Date: Dec 05, 2014
The HP Flex-Bundles for Exchange 2013 are right-sized solutions including servers, storage, networking and services that have been optimized for Microsoft Exchange. There are two HP Flex-Bundles for Exchange. One has been configured for customers who have 200–499 mailboxes and another one for customers with 500-1000 mailboxes. These solutions are low risk investments because HP understands how to build infrastructures for Microsoft environments and applications. HP and Microsoft have the longest standing relationship in the IT industry spanning 30 years. During this time, HP has gained a deep and comprehensive understanding of Microsoft products. HP has more than 34,000 trained Microsoft specialists, with over 13,000 of them attaining Microsoft-certification. HP has been named Microsoft Enterprise Partner of the Year five times and is Microsoft’s largest Gold Certified partner.
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platform, technology, lync, server, sql, flex-bundles, proliant, processors, server experience, customers, configuration, storage, networking, data management
    
HPE
Published By: SugarCRM     Published Date: Jan 27, 2014
Was wäre, wenn Sie für jeden Mitarbeiter mit Kundenkontakt ein unverzichtbares Werkzeug hätten, das Prozesse optimiert, Datensilos beseitigt und Kundeninteraktionen außergewöhnlich macht? Sehen Sie, wie Sugar für Redglaze wichtige Daten zugänglich macht, Prozesse optimiert und die Effizienz erhöht.
Tags : 
crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: SugarCRM     Published Date: Feb 21, 2014
Bei der Entscheidung für ein CRM-System ist es wichtig, sicherzustellen, dass keine versteckten Zusatzgebühren oder extra Kosten anfallen, die Einfluss auf den Return on Investment haben. Die Analyse zeigt die Gesamtbetriebskosten von ier führenden CRM-Lösungen für das mittlere Marktsegment.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: SAS     Published Date: Mar 01, 2012
This paper defines predictive analytics, then details ways this type of analytics can be applied to marketing, risk, operations and more. It also includes information relevant to a wide variety of industries - from manufacturing to hospitals.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
Tags : 
ibm, information management software, leveraging data, dynamic warehousing, data management, improve customer service, real-time risk analysis, analytics capabilities, information on demand framework, ibm db2 warehouse, ibm master data management server, ibm omnifind, ibm industry data models, ibm balanced warehouses, oltp-based transactional data, enterprise applications, compliance
    
IBM
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's retail environment. From customer data to product placement statistics, retail organizations are constantly juggling information. As the sheer amount of data continues to grow, it becomes increasingly difficult to manage. Not only does data come in many different forms—such as reports, memos and e-mails—but often it’s scattered across multiple repositories.
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ibm, ibm balanced warehouses, ibm master data management server, ibm omnifind, ibm industry data models, dynamic warehousing, retail buyer’s guide, leveraging data, customer data, product placement statistics, data management, scalable system, customer relationships, cross-sell, up-sell opportunities, db2 warehouse, oltp-based transactional data server, information management software, enterprise applications
    
IBM
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
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spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making
    
SPSS, Inc.
Published By: SPSS Inc.     Published Date: Mar 31, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
Tags : 
spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making
    
SPSS Inc.
Published By: SPSS     Published Date: Jun 30, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
Tags : 
spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making, enterprise applications
    
SPSS
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