data discovery

Results 1 - 25 of 94Sort Results By: Published Date | Title | Company Name
By: TIBCO Software APAC     Published Date: Aug 13, 2018
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
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     TIBCO Software APAC
By: IBM     Published Date: Jun 04, 2018
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust. Watch this webinar to learn: • How you can more effectively communicate with data. • What constitutes an intuitive and highly navigable report • How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time. • Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
Tags : data analysis, data analytics, dashboards
     IBM
By: IBM APAC     Published Date: Nov 22, 2017
It is imperative that organizations start looking now for smarter solutions to the problems associated with unstructured data. There are many issues related to unstructured data that need to be readily addressed such as storage, discovery, organization, tagging and deduplication. One of the most important issues related to unstructured data is finding and discovering key business insights as quickly as possible, preferably in near real time, to gain a significant competitive advantage.
Tags : storage, discovery, organization, tagging, deduplication, competitive, advantage
     IBM APAC
By: Dell EMC     Published Date: Nov 09, 2015
Download this whitepaper and learn how the Dell Genomic Data Analysis Platform can accelerate discovery and insights through optimized infrastructure and support.
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     Dell EMC
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
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
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.
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     CA Technologies
By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
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     Oracle Analytics
By: WNS     Published Date: Jun 21, 2017
Making key decisions that improve business performance requires more than simple insights. It takes deep data discovery and a keen problem solving approach to think beyond the obvious. As a business leader, you ought to have access to information most relevant to you that helps you anticipate potential business headwinds and craft strategies which can turn challenges into opportunities finally leading to favorable business outcomes. WNS DecisionPoint , a one-of-its kind thought leadership platform tracks industry segments served by WNS and presents thought-provoking original perspectives based on rigorous data analysis and custom research studies. Coupling empirical data analysis with practical ideas around the application of analytics, disruptive technologies, next-gen customer experience, process transformation and business model innovation; we aim to arm you with decision support frameworks based on points of fact.
Tags : cost of goods solid, warehousing and logistics, advertising and promotion, rent, electricity and utilities, floor staff, depreciation, system costs
     WNS
By: Teradata     Published Date: Jan 30, 2015
Data from the Internet of Things makes an integrated data strategy more vital than ever.
Tags : teradata, internet, things, iot, data, warehouse, analytics, patchwork, value, development, integration, supply chain, inventory, sales, market demand, channel partners, deployment, hadoop, aster, discovery
     Teradata
By: Pure Storage     Published Date: Nov 02, 2017
In the new age of big data, applications are leveraging large farms of powerful servers and extremely fast networks to access petabytes of data served for everything from data analytics to scientific discovery to movie rendering. These new applications demand fast and efficient storage, which legacy solutions are no longer capable of providing.
Tags : big data analytics, genomics, medicine, digital science, engineering, design, software, development, next-generation
     Pure Storage
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
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
Tags : mdm, big data, automation, organization
     IBM
By: IBM     Published Date: May 02, 2017
An interactive white paper describing how to get smart about insider threat prevention - including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third-party collaboration. Security breaches are all over the news, and it can be easy to think that all the enemies are outside your organization. But the harsh reality is that more than half of all attacks are caused by either malicious insiders or inadvertent actors.1 In other words, the attacks are instigated by people you’d be likely to trust. And the threats can result in significant financial or reputational losses.
Tags : insider threats, data management, organization management, data analytics, threat detection, risk management, fraud discovery, forensics investigation, incident response
     IBM
By: mindSHIFT     Published Date: Nov 29, 2007
Have you adjusted your data retention policies and electronic discovery procedures to comply with the new Federal Rules of Civil Procedure (FRCP)? Learn how email archiving can help you with these electronic discovery requirements.
Tags : frcp, secure content, secure data, data protection, database security, compliance, frcp compliance, data governance, e-discovery, legal, law firm, mindshift, data management
     mindSHIFT
By: Waterline Data & Research Partners     Published Date: May 18, 2015
Waterline Data automates the cataloging of data assets and provides an Amazon.com-like guided shopping approach to data discovery that is intended to take the guesswork out of targeting the right data.
Tags : waterline, big data, automation, cataloging, processing, analysis, assets, data science, data management
     Waterline Data & Research Partners
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
By: Veritas     Published Date: Dec 08, 2016
Read on to find out how to unlock yout data's value
Tags : data, data management, cost, data discovery
     Veritas
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.
Tags : cost reduction, data efficiency, data security, data integration, financial services, data discovery, data accessibility, data comprehension
     Teradata
By: IBM     Published Date: Jul 08, 2016
Read this Forrester whitepaper to learn more about the critical, yet often overlooked, role that data classification and data discovery can play in reducing your organization’s risk and enhancing security.
Tags : ibm, forrester, data discovery, big data, data, analytics, information governance, data management
     IBM
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
By: IBM     Published Date: Jan 27, 2017
In today’s highly distributed, multi-platform world, the data needed to solve any particular decision making need is increasingly likely to be found across a wide variety of sources. As a result, traditional manual approaches requiring prior collection, storage and integration of extensive sets of data in the analyst’s preferred exploration environment are becoming less useful. Data virtualization, which offers transparent access to distributed, diverse data sources, offers a valuable alternative approach in these circumstances.
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     IBM
By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. To perform data discovery and exploration, use analytics to define desired business outcomes, and derive insights to help attain those outcomes, users need good, relevant data. Executives, managers, and other professionals are reaching for self-service technologies so they can be less reliant on IT and move into advanced analytics formerly limited to data scientists and statisticians. However, the biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation.
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     Waterline Data & Research Partners
By: Qlik     Published Date: Oct 13, 2015
Read more to learn how modern companies are adjusting to the BYO (Bring Your Own) data trend by combining external data with internal content.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, external data, internal content, data management, data center
     Qlik
By: Qlik     Published Date: Oct 13, 2015
Read more to learn how IT ensures that they are empowering their users with the tools they need to naturally explore data, ask the next question, and uncover the insight they need to make informed decisions.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, big data, mobile, data management, data center
     Qlik
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