data profiling

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Published By: Dun & Bradstreet     Published Date: Nov 13, 2017
Engaging potential buyers in today’s complex and noisy B2B environment demands time, effort, and intelligence. All sellers can do is hope to guide them along their journey and influence their decisions. But even the best prospects are delaying interaction with sales and are often unresponsive to traditional marketing tactics. This is forcing organisations to use relevant, timely, and holistic data to guide interactions and communications across all channels.
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data, organisations, sales, marketing, customer profiling, relationship building
    
Dun & Bradstreet
Published By: IBM     Published Date: Oct 19, 2015
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, infosphere, data profiling, business glossary, partition, pipeline parallelism, information server, data sources, hadoop, networking, security, data management, business technology, data science, data security
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Business leaders are eager to harness the power of big data. However, as the opportunity increases, ensuring that source information is trustworthy and protected becomes exponentially more difficult. If not addressed directly, end users may lose confidence in the insights generated from their data—which can result in a failure to act on opportunities or against threats. Information integration and governance must be implemented within big data applications, providing appropriate governance and rapid integration from the start. By automating information integration and governance and employing it at the point of data creation, organizations can boost confidence in big data. A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamle
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mdm, big data, automation, organization
    
IBM
Published By: Teradata     Published Date: May 02, 2017
Kylo overcomes common challenges of capturing and processing big data. It lets businesses easily configure and monitor data flows in and through the data lake so users have constant access to high-quality data. It also enhances data profiling while offering self-service and data wrangling capabilities.
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cost reduction, data efficiency, data security, data integration, financial services, data discovery, data accessibility, data comprehension
    
Teradata
Published By: IBM     Published Date: Oct 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, data, analytics, big data, data integration, data management, business technology, data center, data science
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.
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IBM
Published By: SAS     Published Date: Nov 10, 2014
Learn how data is evolving and the 7 reasons why a comprehensive data management platform supersedes the data integration toolbox that you are using these days.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling, metadata management, data center
    
SAS
Published By: SAS     Published Date: Nov 10, 2014
Learn how this upcoming year should be the year you make your big data actionable and see what else you should be doing to maximize its potential.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling, metadata management, data center
    
SAS
Published By: LogRhythm     Published Date: Aug 08, 2016
The need for early detection of targeted attacks and data breaches is driving the expansion of new and existing SIEM deployments. Advanced users are looking to augment SIEM with advanced profiling and analytics.
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cyber threat, cyber risk, technology, best practices, business management, business analytics, security, business technology
    
LogRhythm
Published By: DataFlux     Published Date: Jan 07, 2011
This white paper addresses data profiling techniques that can help the analyst understand the empirical truth associated with enterprise data.
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dataflux, data profiling, enterprise data, analyst, data rule validation, metadata compliance
    
DataFlux
Published By: Trillium Software     Published Date: May 19, 2011
Today financial services institutions must meet the standards for data quality attestation by the FFEIC regulators of risk reporting. This paper discusses the platform and domain expertise needed to support the rigorous demands of commercial and retail risk reporting.
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trillium software, data quality management, basel ii solution, data profiling, data monitoring, metadata, data supporting risk, grc
    
Trillium Software
Published By: IBM     Published Date: Jun 15, 2009
The ability to make quick, well-informed decisions is critical to competitiveness and growth for most companies. Read the white paper to see how Data warehouse solutions can deliver business insight across virtually any business process or function. And also how they're particularly valuable for understanding sales, profiling customers and analyzing business costs.
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ibm, data warehouses, warehouse, data, data solutions, sales, business costs, olap, online, analytical processing, customer relationship management, crm, ibm db2 warehouse, regulatory, compliance, enterprise applications, data management
    
IBM
Published By: EMC Backup & Recovery Solutions     Published Date: Aug 27, 2009
Data profile assessments will let us help you determine the best match for your situation, the data you are looking to protect, your service level agreements, and the specifics of your current challenges and environment.
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emc, data domain, efficiency, api, disk backup, recovery, vmware, server consolidation, servers, data integrity, backup, recovery, idc, roi, it costs, infrastructure, dedupe, deduplication
    
EMC Backup & Recovery Solutions
Published By: Pardot LLC     Published Date: Mar 04, 2011
Learn how to drive prospects to your page and keep them there with A Best Practices Guide to Successful Landing Pages.
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pardot, best practices, landing pages, increase conversion, customer data, campaign design and management., progressive profiling, content creation and management, marketing campaign, landing pages
    
Pardot LLC
Published By: IBM     Published Date: Jan 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, data integration, infosphere, information server, partition, data profiling, knowledge management, data management, business technology, data center
    
IBM
Published By: SAS     Published Date: Apr 16, 2015
SAS Institute is gearing up to make a self-service data preparation play with its new Data Loader for Hadoop offering. Designed for profiling, cleansing, transforming and preparing data to load it into the open source data processing framework for analysis, Data Loader for Hadoop is a lynchpin in SAS's data management strategy for 2015. This strategy centers on three key themes: 'big data' management and governance involving Hadoop, the streamlining of access to information, and the use of its federation and integration offerings to enable the right data to be available, at the right time.
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SAS
Published By: Janrain, Inc.     Published Date: Jan 07, 2013
This paper covers establishing best practices in implementing user registration, and strategies for collecting more and better user data without sacrificing conversion rates. Topics include social login, progressive profiling, CAPTCHA, SSL, and more.
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online registration, data management, unified data, data validation, ssl, progressive profiling
    
Janrain, Inc.
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