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Data Integration

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ALSO CALLED: Corporate Data Integration, Database Migration
DEFINITION: Collaborative Master Data Management (CMDM) is an integration tool from SAP, the German software company. SAP describes CMDM as a revolutionary product designed to solve the widespread challenges of data integration from multiple systems, physical locations, and diverse vendors. The CMDM product will collect and integrate data from SAP and non-SAP systems and applications so that an enterprise using  … 
Definition continues below.
Data Integration White Papers (View All Report Types)
26 - 50 of 430 Matches Previous Page  |  Next Page
7 Leading Companies that Transformed their Business with Analytics
sponsored by Birst
WHITE PAPER: This paper examines how 7 companies transformed their businesses by leveraging advanced analytics. Discover new ways to integrate data and drive innovation by managing large volumes, even for big data and IoT.
Posted: 28 Sep 2016 | Published: 28 Sep 2016

Birst

Modernize Your SAP Implementation to Make Real-Time Business a Reality
sponsored by Pure Storage
WHITE PAPER: Learn how businesses can extract data directly from SAP ERP, CRM, and SCM systems and analyze data in real-time, enabling business managers to quickly make data-driven decisions.
Posted: 12 Sep 2016 | Published: 12 Sep 2016

Pure Storage

Analytics and the Customer Journey: 7 Best Practices for Delivering a Better Customer Experience
sponsored by SAS
WHITE PAPER: This white paper explores how you can identify the critical factors that detract from a customer experience as well as decide how to rebuild positive experiences by mapping the customer journey. Uncover the 7 best practices for delivering a better customer experience and get helpful advice on data management, metrics, and more.
Posted: 09 Sep 2016 | Published: 09 Sep 2016

SAS

Introducing Notebooks: A Powerful Tool for Data Scientists
sponsored by IBM
WHITE PAPER: An environment in which data scientists can work collaboratively with multiple stakeholders, in rapid iterations, is key to meeting relentless business demands. Discover ways to help data teams lead the enterprise predictively and proactively.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

IBM

Data Science is a Team Sport -- Do you Have the Skills to be a Team Player?
sponsored by IBM
WHITE PAPER: How do raw metrics and records become information that drives business results? Explore ways to equip data scientists, engineers, and more with the skills they need to make actionable, valuable insights.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

IBM

Building Success: Strengthen your Data Discovery and Classification
sponsored by IBM
WHITE PAPER: How can you strengthen your data foundation without compromising its integrity? This Forrester Research Report breaks down the struggle with data discovery and security. What are strong approaches to data classification that you can implement in your company moving forward? Read this report now and find out.
Posted: 25 Jul 2016 | Published: 01 Oct 2014

IBM

Data Quality Maturity is an Elusive Metric: Learn How to Measure It
sponsored by Infogix
WHITE PAPER: Explore how you can provide a complete view of data issues and co-relate data quality metrics that are objectively collected through profiling. Discover how you can start trusting the integrity of your data and provide better content clarity.
Posted: 12 Jul 2016 | Published: 12 Jul 2016

Infogix

Learn the Virtues of Data Classification for Remedying Dark Data Challenges
sponsored by Infogix
WHITE PAPER: Research firm IDC states that up to 90% of big data environments today are made up of dark data. Learn how to define, understand, and identify dark data symptoms. Plus, explore ways to remediate dark data challenges and map your data into 4 categories to measure usage and derive value.
Posted: 12 Jul 2016 | Published: 12 Jul 2016

Infogix

Case Study: How a Fortune 100 Company Automated Data Quality to Reduce Errors
sponsored by Infogix
WHITE PAPER: In this case study, explore how a financial services company leveraged data analysis techniques to better manage its $500 billion in assets and improve data quality. Learn how you can implement this process to lower risk rate and automate your data quality.
Posted: 08 Jul 2016 | Published: 31 Dec 2015

Infogix

Simplifying and Accelerating Master Data Management
sponsored by Information Builders
WHITE PAPER: Many MDM projects are failing due to time and effort requirements. This white paper discusses the problems that face traditional MDM approaches and data mastering innovations. Leverage best practices and new technology to improve the view of your data across the enterprise.
Posted: 30 Aug 2016 | Published: 31 Dec 2015

Information Builders

Information Management and MDM: Getting the Most from Clinical Data
sponsored by Information Builders
WHITE PAPER: This white paper examines the obstacles healthcare payers experience when planning and implementing a strategy for collecting, managing, and exchanging clinical data for value-based care. Discover how to unlock truly actionable data with an integrated approach to information management, data quality, master data management, and more.
Posted: 29 Aug 2016 | Published: 29 Aug 2016

Information Builders

The 8 Worst Practices in Master Data Management and How to Avoid Them
sponsored by Information Builders
WHITE PAPER: This white paper explores the 8 "worst practices" of master data management. Find out how to navigate these obstacles on the road to a successful MDM and data governance program for big data.
Posted: 29 Aug 2016 | Published: 29 Aug 2016

Information Builders

7 Key Challenges to Value-Based Care: Ensuring Patient-Centered Care With Information Management
sponsored by Information Builders
WHITE PAPER: This white paper explores how to address some of the challenges of moving towards value-based healthcare with a strategy for improving the way patient data is collected, managed, and exchanged. Access now to find out more about an integrated approach to master data management, data quality, information management, and more.
Posted: 29 Aug 2016 | Published: 29 Aug 2016

Information Builders

6 Issues That Can Derail Your Big Data Initiative
sponsored by Information Builders
WHITE PAPER: 55% of big data projects are never finished. Your Hadoop ecosystem is more important to these projects than you may realize, so it's important to fully understand the role it plays. This white paper discusses the 6 primary issues that are knocking big data projects off the tracks, and how to get your data management back on track.
Posted: 26 Aug 2016 | Published: 26 Aug 2016

Information Builders

Analytics in Healthcare: How 5 Healthcare Providers Are Turning Data Into Value
sponsored by Information Builders
WHITE PAPER: This study examines how 5 healthcare organizations, participating in a collaborative forum for promoting best practices, are leveraging analytics and BI to drive organizational improvement and integrate data from multiple sources. Access now to learn about their data strategies and get tips about self-service BI, how to empower users, and more.
Posted: 26 Aug 2016 | Published: 26 Aug 2016

Information Builders

How One Company Integrated Its Infrastructure with Hadoop
sponsored by Intel Corporation
WHITE PAPER: Learn about how one company that used the Kafka Messaging tool with Hadoop to extend its data integration architecture to incorporate big data in real time. Discover how the company was able to improve customer services, security, and data management, and how you can do the same.
Posted: 24 Aug 2016 | Published: 29 Apr 2016

Intel Corporation

Optimize Supply Chain Management with an In-Memory Data Platform
sponsored by Intel Corporation
WHITE PAPER: Legacy supply chains can suffer from issues like data latency, data fragmentation, and a lack of scalability, which can hold businesses back in an increasingly fast-paced, data-driven world. Find out how to empower supply chain management teams with agility, real-time business intelligence, and predictive analytics capabilities.
Posted: 24 Aug 2016 | Published: 30 Jun 2016

Intel Corporation

Improving Manufacturing with Advanced Data Analytics
sponsored by Intel Corporation
WHITE PAPER: Increasing complexity in products, manufacturing processes, and the Internet of Things (IoT) means that massive amounts of data are being generated every day. Find out how to address 3 of the biggest challenges of data management with integrated analytics so you can reduce costs, improve process cycle time, and speed up time to market.
Posted: 24 Aug 2016 | Published: 31 May 2016

Intel Corporation

Integrated Analytics: Manage the Growing Diversity of Sales and Marketing Data Sources
sponsored by Intel Corporation
WHITE PAPER: This white paper explores how to enable an integrated analytics approach by leveraging data lake models, visualizations, and self-service BI. Find out to simplify big data, overcome traditional data warehouse limitations, and increase efficiency with automation.
Posted: 24 Aug 2016 | Published: 31 Oct 2015

Intel Corporation

Self-Service Data Preparation: Vendors, Trends, and Updates
sponsored by Trillium Software
WHITE PAPER: Learn about the current state of the self-service data preparation and cataloguing market to help you find the best platform to suit your needs. Get an in-depth look at 20 vendors—including SAP, SAS, Trillium, and more—as well as an overview of key market trends.
Posted: 17 Aug 2016 | Published: 29 Apr 2016

Trillium Software

Smarter Data Preparation for the IoT Generation of Analytics
sponsored by IBM
WHITE PAPER: Blending data into one, powerful stream of insight is possible when teams strategize the integration of multiple on-premise or cloud-based sources. Discover ways to put data to work by accessing it wherever it resides.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

IBM

7 Capabilities in Performance Management for a World of Volatility, Uncertainty and Risk
sponsored by IBM
WHITE PAPER: Finance teams are often slow in delivering important data and analysis business executives to make informed decisions. Performance management tools can help, but in what ways? In this white paper, learn 7 key capabilities of performance management software, how you can accelerate analytics insights, and more.
Posted: 26 Jul 2016 | Published: 31 Dec 2015

IBM

Simple, Powerful, Integrated Data Prep and Movement in the Cloud
sponsored by IBM
WHITE PAPER: Unburden your IT department by updating your cloud services and enabling both technical and non-technical business users to derive useful insights from data. Discover how you can ensure data quality with simple data preparation and movement services in the cloud.
Posted: 30 Jun 2016 | Published: 31 Dec 2015

IBM

Understanding Insurance Industry Data Warehousing Challenges
sponsored by IBM
WHITE PAPER: Learn how enhancements in the areas of life insurance and workers' compensation help companies address economic and technological challenges. Plus, discover how to build an effective data warehouse that provides a flexible, scalable solution which enables the consolidation and integration of data.
Posted: 30 Jun 2016 | Published: 30 Nov 2014

IBM

Fueling "Free Markets" in the Insight Economy with Apache Spark
sponsored by IBM
WHITE PAPER: Learn about the use of an open source engine built specifically for data science. Discover how it helps simplify algorithm development, accelerate analytics results, extend Hadoop, and more.
Posted: 30 Jun 2016 | Published: 30 Sep 2015

IBM
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DATA INTEGRATION DEFINITION (continued): … Collaborative Master Data Management (CMDM) is an integration tool from SAP, the German software company. SAP describes CMDM as a revolutionary product designed to solve the widespread challenges of data integration from multiple systems, physical locations, and diverse vendors. The CMDM product will collect and integrate data from SAP and non-SAP systems and applications so that an enterprise using CMDM will be able to obtain a single view of data, even if that data is classified differently in different systems. CMDM will be based on mySAP technology and is expected to play a key part in SAP's Web services initiative.
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