metadata management

Results 1 - 25 of 35Sort Results By: Published Date | Title | Company Name
Published By: DATAVERSITY     Published Date: Jul 06, 2015
The growth of NoSQL data storage solutions have revolutionized the way enterprises are dealing with their data. The older, relational platforms are still being utilized by most organizations, while the implementation of varying NoSQL platforms including Key-Value, Wide Column, Document, Graph, and Hybrid data stores are increasing at faster rates than ever seen before. Such implementations are causing enterprises to revise their Data Management procedures across-the-board from governance to analytics, metadata management to software development, data modeling to regulation and compliance. The time-honored techniques for data modeling are being rewritten, reworked, and modified in a multitude of different ways, often wholly dependent on the NoSQL platform under development. The research report analyzes a 2015 DATAVERSITY® survey titled “Modeling NoSQL.” The survey examined a number of crucial issues within the NoSQL world today, with focus on data modeling in particular.
Tags : 
    
DATAVERSITY
Published By: DATAVERSITY     Published Date: Oct 04, 2016
This report evaluates each question posed in a recent survey and provides subsequent analysis in a detailed format that includes the most noteworthy statistics, direct comments from survey respondents, and the influence on the industry as a whole. It seeks to present readers with a thorough review of the state of Metadata Management as it exists today.
Tags : 
    
DATAVERSITY
Published By: CA Technologies     Published Date: Oct 22, 2015
As the interest in managing information and enforcing corporate data management policies increases, data governance programs to manage data sets are becoming more and more vital to the business operation. However, in this rush for data governance programs, sometimes the true utility and importance of metadata can be missed. In this white paper, David Loshin of Knowledge Integrity, Inc. discusses the importance of data governance and the role of metadata management as a way to empower data governance and enforce data policies.
Tags : 
white paper, metadata, data management, data modeling, david loshin, data governance, data governance strategy
    
CA Technologies
Published By: Adaptive     Published Date: May 10, 2017
Enterprise metadata management and data quality management are two important pillars of successful enterprise data management for any organization. A well implemented enterprise metadata management platform can enable a successful data quality management at the enterprise level. This paper describes in detail an approach to integrate data quality and metadata management leveraging the Adaptive Metadata Manager platform. It explains the various levels of integrations and the benefits associated with each.
Tags : 
    
Adaptive
Published By: ASG     Published Date: Apr 02, 2014
This Case Study focuses on a highly successful data lineage project between ASG Software Solutions and a major global financial institution. The initial project which began in 2011 with the primary goal of achieving greater control, awareness, and ownership over the institution’s data assets due to new regulatory and federal audit controls. As the project progressed and the positive relationship between ASG and the Bank deepened, all stakeholders involved began to see much broader potential for the entire project than originally envisioned.
Tags : 
metadata, data, data management, white paper, case study
    
ASG
Published By: Embarcadero     Published Date: Jan 23, 2015
There are multiple considerations for collaborating on metadata within an organization, and you need a good metadata strategy to define and manage the right processes for a successful implementation. In this white paper, David Loshin describes how to enhance enterprise knowledge sharing by using collaborative metadata for structure, content, and semantics.
Tags : 
data, data management, metadata, enterprise information management, data modeling, embarcadero
    
Embarcadero
Published By: CA Technologies     Published Date: Dec 03, 2015
This 2nd paper in a 3-part series by David Loshin explores some challenges in bootstrapping a data governance program, and then considers key methods for using metadata to establish the starting point for data governance. The paper will focus on how metadata management facilitates progress along three facets of the data governance program including assessment, collaboration and operationalization.
Tags : 
    
CA Technologies
Published By: Octopai     Published Date: Jan 31, 2018
Centralized metadata management is finally here and it changes everything.
Tags : 
    
Octopai
Published By: DATAVERSITY     Published Date: Jan 23, 2013
No business likes to throw money out the window, or in the case of the modern day enterprise, down the electronic data stream. But, that is exactly what businesses all over the world are doing every day if they don’t have control of their data. This paper is sponsored by: ASG.
Tags : 
white paper, dataversity, asg, metadata, business management, data, data management
    
DATAVERSITY
Published By: birst     Published Date: Jan 21, 2013
This Dive Deep analyst report looks at the process of building an environment for what can be aptly termed Agile Business Analytics.
Tags : 
data, data management, data governance, big data, cloud, business intelligence, semantic technology, nosql, information quality, data quality, metadata, enterprise information management, master data management, mdm, analytics, database
    
birst
Published By: SAP     Published Date: Jan 23, 2013
This paper examines the root causes of data centralization failure and then reviews straightforward best practices that can help avoid such failures but are typically ignored when systems are designed in an ad hoc, organic manner.
Tags : 
data, data management, data governance, big data, cloud, business intelligence, semantic technology, nosql, information quality, data quality, metadata, enterprise information management, master data management, mdm, analytics, database
    
SAP
Published By: Adaptive     Published Date: Jan 24, 2013
Data Governance and Metadata Management are two closely associated Data Management Capabilities which organizations must address in order to truly turn their data into Information Assets.
Tags : 
data, data management, data governance, metadata, adaptive, dataversity, white paper
    
Adaptive
Published By: ASG     Published Date: Feb 05, 2013
No business likes to throw money out the window, or in the case of the modern day enterprise, down the electronic data stream. But, that is exactly what businesses all over the world are doing every day if they don’t have control of their data.
Tags : 
white paper, dataversity, asg, metadata, business management, data, data management
    
ASG
Published By: Extensis     Published Date: Jun 08, 2010
Metadata Management is the process of ensuring that all metadata associated with a digital asset is captured, organized, stored and made available for use by and within other applications. Metadata Management begins at the moment the digital asset is created by an application or captured by digital imaging.
Tags : 
metadata, management, extensis, digital asset management', business intelligence
    
Extensis
Published By: Cherwell Software     Published Date: Apr 07, 2016
Cherwell Service Management™ software empowers IT organizations to easily manage their infrastructure at a fraction of the cost and complexity associated with traditional, legacy IT service management software. Designed with a metadata-driven approach, the Cherwell Service Management platform can easily be configured to meet process and integration requirements without writing or touching a single line of code. Furthermore, configurations will never break during version upgrades.
Tags : 
best practices, customer support, business intelligence, business optimization
    
Cherwell Software
Published By: Cleversafe     Published Date: Mar 29, 2013
Scalability has always been an important characteristic of enterprise storage systems, maybe the most important, since the rationale of consolidating storage assumes that the system can easily grow with aggregate demand.
Tags : 
object storage, cloud storage, access nodes, scalability, metadata, storage controller, backup and recovery, network attached storage, raid, storage area networks, storage management, storage virtualization, application integration, application performance management, best practices, data deduplication, business technology
    
Cleversafe
Published By: IBM     Published Date: Apr 14, 2017
The growing need for organizations to treat information as an asset is making metadata management strategic, driving significant growth for metadata management solutions. We evaluate nine vendors to help data and analytics leaders find the solution that best suits the needs of their organization.
Tags : 
data management, data system, business development, software integration, resource planning, enterprise management, data collection, metadata, business meta data, market data
    
IBM
Published By: Vectra Networks     Published Date: Aug 03, 2015
The data in this report is based on metadata from Vectra customers and prospects who opted to share detection metrics from their production network environments.
Tags : 
post intrusion report, metadata, network threats, network security management, it security, botnet monetization, data exfiltration, security management, best practices, advanced persistent threat, apt, ids, ips, malware, security insight, threat landscape
    
Vectra Networks
Published By: Kofax     Published Date: Sep 08, 2011
This whitepaper will review how business processes are more efficient in an electronic data environment. Enterprise Capture enables customer service improvement, cost cutting, and compliance for financial institutions such as Flagstar and Randolph Brooks Federal Credit Union (RBFCU).
Tags : 
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: 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.
Tags : 
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: Kofax     Published Date: Sep 08, 2011
The Kofax enterprise capture platform offers unmatched scalability from centralized to highly distributed environments, from individual desktops to enterprise deployments and from basic archival scanning to powerful document classification and separation and data extraction. The company's market leading technology supports a wide variety of input devices and line of business applications, providing a strong enterprise-wide platform on which to standardize document driven processes.
Tags : 
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: Claravine     Published Date: Jan 03, 2019
Marketers have long struggled with the simple task of knowing which marketing spend is truly effective, and how to optimize that spend. At the heart of the issue lies the challenge of ensuring the data quality and consistency exists to make decisions based on real intelligence. Why is this a problem? First, effective tracking is reliant on the consistent, complete application of campaign tracking codes and associated metadata, which has traditionally been a manual, ungoverned process. Adding to this complexity has been the dramatic expansion of digital marketing point solutions, and the disparate teams expected to execute across each of these channels and geographies. The result is what you would expect—highly inaccurate, incomplete, and inconsistent data that must be manually cleaned before reporting is possible. Fortunately a solution exists. Progressive marketing leaders are implementing Digital Experience Data Management (DXDM), ensuring the rich, consistent insights critical to ma
Tags : 
    
Claravine
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.
Tags : 
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.
Tags : 
sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling, metadata management, data center
    
SAS
Published By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
Tags : 
enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic
Previous   1 2    Next    
Search      

Add Research

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

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept