data discovery

Results 1 - 25 of 104Sort Results By: Published Date | Title | Company Name
Published By: Mimecast     Published Date: Apr 18, 2017
"Your organization can’t survive without email. In turn, the data held within email is an invaluable resource for compliance, e-discovery and workflow efficiency purposes. And moving to the cloud involves its own set of challenges around preserving that content. It’s time to rethink archiving. Download our E-book, 5 Essentials for Cloud Archiving Success, to learn: - How to avoid common misconceptions about cloud email archiving - Ways to enable employee efficiency and productivity through archiving - Why every organization must be prepared for e-discovery and litigation "
Tags : 
cloud, cloud archiving, email archiving, litigation
    
Mimecast
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
Tags : 
    
SAS
Published By: Trend Micro, Inc.     Published Date: Apr 29, 2009
Protecting individual and financial data, retaining data, and meeting e-discovery requirements are common compliance requirements across geographies and industries. Finding accurate, usable, and cost-effective solutions for meeting these requirements can make the difference between achieving compliance goals or leaving the organization vulnerable through unsecured use of sensitive data. Trend Micro Data Protection solutions for endpoint data leak protection, email encryption, and email archiving help organizations meet their compliance requirements – easily and cost-effectively.
Tags : 
trend micro, trend, information technology, security, security requirements, compliance, e-discovery, customer churn, litigation, fines, personally identifiable information, pii, pci, payment card industry, phi, protected health information, pfi, personal financial information, pfi access control, audit
    
Trend Micro, Inc.
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
Published By: MarkLogic     Published Date: May 07, 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 : 
agile, enterprise, metadata, management, organization
    
MarkLogic
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
Tags : 
ibm integrated data management, jd edwards, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
Tags : 
ibm integrated data management, siebel crm, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
Tags : 
ibm integrated data management, oracle e-business suite, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification, enterprise applications, data management
    
IBM
Published By: CA Technologies     Published Date: Aug 22, 2017
The application economy has forced businesses to transform. To capture new growth opportunities, enterprises are opening up and sharing select data and applications with developers, partners, mobile devices, the cloud and the Internet of Things (IoT). One of the byproducts of this transformation is the discovery that legacy data has value in the application economy—so much so that new revenue opportunities emerge as this data is used in new ways.
Tags : 
    
CA Technologies
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
A big part of GDPR compliance will focus on how data is collected going forward. But a substantial emphasis will fall on the data businesses already hold. With many mainframes containing generations-old data, a manual data audit is completely unrealistic. That’s where CA comes in. CA Data Content Discovery enables organizations to find, classify and protect mission essential mainframe data—three valuable steps toward achieving GDPR compliance.
Tags : 
gdpr, personal data, social information, ip addresses, ca technologies, mainframe security, anonymize data, privacy projects
    
CA Technologies EMEA
Published By: Code42     Published Date: Jan 13, 2016
BACKUP ISN’T JUST A COPY IN THE CLOUD. IT’S THE ANTIDOTE TO EVERYTHING. Be it user error, natural disaster, hardware failure, malware, theft or litigation—there’s a countermeasure to restore your business to normal. Skeptical? Click through the eBook to ?nd out how backup makes the enterprise impervious.
Tags : 
code42, endpoint backup, cloud storage, data migration, data storage solutions, e-discovery, security, it management, knowledge management, enterprise applications
    
Code42
Published By: Looker     Published Date: Dec 03, 2015
The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their own. This has helped alleviate a major BI pain point: centralized, IT-dominated solutions have been too slow and too brittle to serve the business. What has been masked is a lack of innovation in data modeling. Data modeling is a huge, valuable component of BI that has been largely neglected. In this webinar, we discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility. Topics covered include: • A new architecture beyond direct connect • Language-based, git-integrated data modeling • Abstractions that make SQL more powerful and more efficient
Tags : 
    
Looker
Published By: IBM     Published Date: Oct 13, 2011
This whitepaper from IBM reveals three ways that the most successful companies are taking action when they deploy business analytics.
Tags : 
ibm, big data, analytics, knowledge discovery, data mining, business analytics and optimization, bao, business analytics, insight
    
IBM
Published By: QlikTech     Published Date: Aug 27, 2013
The Tectonic Plates are shifting in the BI software market - The promise of business intelligence software is to enable decision makers at all level in an organization to leverage data for business advantage - to explore data, draw insights and meaningful conclusions, and make better decisions. This research paper shows how the QlikView Business Discovery Platform delivers true self-service BI that empowers business users by driving innovative decision-making.
Tags : 
business discovery, powerful, business intelligence, qliktech, idc, small vendors, enabling decision makers, better decisions, knowledge management, enterprise applications, business technology
    
QlikTech
Published By: Qlik     Published Date: Oct 13, 2015
Business intelligence and analytics leaders must re-evaluate and evolve the capabilities of their teams to ensure that they can leverage bimodal work practices to engage, communicate and adapt to new developments in business analytics, including diagnostic and predictive analytics.
Tags : 
qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, bimodal work practices, predictive analytics, data management, business technology, data center
    
Qlik
Published By: IBM     Published Date: Feb 05, 2015
This new research — based on data collected in May 2013 from 29 organizations using visual data discovery and 95 that were not — reinforces those findings. In addition, Aberdeen's research demonstrates that visual data discovery can help to usher in a different approach to analytics, an approach that is far more user driven.
Tags : 
advanced analytics, visual data discovery, managed reporting, data discovery tools
    
IBM
Published By: McAfee     Published Date: Jan 28, 2013
Re-think your DLP — This white paper discusses how a new DLP model aligns data discovery, classification, policy management, and security controls to your business requirements and processes.
Tags : 
dlp, business-centric dlp, dlp business rules, discovery, classification, policy management, security controls
    
McAfee
Published By: IBM     Published Date: Oct 22, 2014
A case study on how a major oil and gas producer saves 35 percent on data storage costs and 30 percent in litigation-related costs by adopting a smarter data discovery and defensible disposal strategy, using IBM Enterprise Content Management solutions.
Tags : 
legacy data, data storage costs, data storage, content management, it management, knowledge management, data management
    
IBM
Published By: Varonis     Published Date: Feb 05, 2014
Varonis has conducted several surveys over the last year, and the results indicate that most organizations recognize they need to do a better job securing their own data, and a much better job securing your data. The most disturbing discovery, though, is that in large numbers they lack the fundamental controls necessary to ensure safe digital collaboration.
Tags : 
varonis, data, data migration, digital revolution, digital collaboration, it management
    
Varonis
Published By: IBM     Published Date: Sep 22, 2011
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
Tags : 
ibm, application data, technology, enterprise, database archive
    
IBM
Published By: Qlik     Published Date: Aug 12, 2015
This Research Report examines the analytical strategies of organisations currently using data discovery tools and highlights their superior performance in user engagement.
Tags : 
data discovery, data, data discovery tools, analytics, benefits of using data discovery, data collaboration, data proliferation, data engagement, big data, data strategies
    
Qlik
Published By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
Tags : 
    
SAS
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Tags : 
    
SAS
Published By: McAfee     Published Date: Nov 12, 2014
This white paper outlines the best practices for better data loss prevention for healthcare organizations—from data discovery to classification to protection.
Tags : 
data loss prevention, dlp, healthcare, dlp best practices, data management
    
McAfee
Start   Previous   1 2 3 4 5    Next    End
Search      

Related Topics

Add Your White Papers

Get your white papers featured in the Data Center Frontier Paper Library contact:
Kevin@DataCenterFrontier.com