trusted data

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By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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     SAS
By: Pentaho     Published Date: Nov 04, 2015
Amid unprecedented data growth, how are businesses optimizing their data environments to ensure data governance while creating analytic value? How do they ensure the delivery of trusted and governed data as they integrate data from a variety of sources? If providing appropriately governed data across all your data sources is a concern, or if the delivery of consistent, accurate, and trusted analytic insights with the best blended data is important to you, then don’t miss “Delivering Governed Data For Analytics At Scale,” an August 2015 commissioned study conducted by Forrester Consulting on behalf of Pentaho.
Tags : pentaho, analytics, platforms, big data, predictive analytics, data management, data science
     Pentaho
By: Dell     Published Date: Oct 24, 2014
Today's business environments are very different to those of 10 years ago. Windows Server 2003 has been a trusted friend for over a decade, but there are better ways to deliver against today's business expectations and technical possibilities. Download this paper to better understand the risks of ignoring the end of support and to discover the advantages of migrating to a modern data center platform.
Tags : virtualization, it security, platform support, platform migration
     Dell
By: Symantec.cloud     Published Date: Mar 02, 2011
The mobile workspace has created problems for IT, including policy enforcement, attack from untrusted wireless networks, and physical data theft. This white paper examines how cloud-based security solutions can protect distributed workers.
Tags : symantec.cloud, messagelabs, distributed workforce management, cloud-based security, it security, remote worker, wireless network, laptop, mobile device
     Symantec.cloud
By: Prophix     Published Date: May 31, 2016
CFOs today are finding themselves in a leadership position at the strategy table. Whether your company’s objectives are to deliver growth in 2016 or stay the course, it is crucial that the office of finance contribute to the strategic decision-making process and become one of the company’s trusted business partners. With rich data from all parts of the organization, the finance leadership team can offer unprecedented value to the decision-making process and help make the right business decisions executable. Listen to how Finance Professionals are helping guide their organizations toward making well-reasoned, data-driven strategic decisions.
Tags : best practices, finance professionals, productivity, strategic decisions
     Prophix
By: IBM     Published Date: Sep 22, 2011
Help reduce operational costs and risk while improving accessibility of critical business data.
Tags : ibm, data delivery, risk reduction, cdc, soa, mdm, data management
     IBM
By: VMware, Inc.     Published Date: Apr 05, 2016
VMware vCloud® Air™ is a family of cloud services owned and operated by VMware, built on the trusted foundation of VMware vSphere®. The service supports existing workloads as well as new application development, giving IT a common platform for seamlessly extending their data center to the cloud.
Tags : vmware, vcloud, vcloud air, private cloud, storage, bandwidth
     VMware, Inc.
By: Juniper Networks     Published Date: Aug 10, 2017
Interactive Data is a trusted leader in financial information, delivering a comprehensive set of products and services designed to meet the needs of the front, middle, and back offices at some of the largest and most well-known institutions around the world. These clients trust Interactive Data to help support their investment activities and operational workflow through a broad range of offerings.
Tags : interactive data, financial services, global network, market data, ethernet switches, low latency, it infrastructure
     Juniper Networks
By: Sage Software (APAC)     Published Date: May 02, 2018
Data overload have burdened practically every largescale enterprise today. It’s vital for competitive enterprise not only to find solutions that will deliver the right data at the right time, but also be confident that the data they are looking at is governed and trusted. Sage Business Cloud Enterprise Management enables businesses to gain real-time access to data and make critical business decisions; achieve a better ROI while reducing IT overhead; automate data integration and deliver a 360-degree view of the businesses; mitigate data security risks and comply with legal regulations. Download this whitepaper and discover how to overcome some common challenges of information overload to increase your business insight and visibility.
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     Sage Software (APAC)
By: IBM     Published Date: Feb 22, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business.
Tags : ibm, data, mdm, big data, insight, infosphere
     IBM
By: IBM     Published Date: Feb 22, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization.
Tags : ibm, data, big data, hybrid, refined data, data refinery
     IBM
By: IBM     Published Date: Apr 18, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
Tags : ibm, trusted data, data optim, big data, hybrid data environments
     IBM
By: IBM     Published Date: Apr 22, 2016
The upside of disruption: Reinventing business processes, organizations and industries in the wake of the digital revolution
Tags : ibm, ibm big data and analytics, ibm big data, trusted data, big data
     IBM
By: IBM     Published Date: Jul 06, 2016
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
Tags : ibm, big data, trusted data, data management, data solutions, data science, data storage
     IBM
By: IBM     Published Date: Jul 06, 2016
How can your organization realize the financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? The answer is governance. Download to read more.
Tags : ibm, big data, trusted data, data management, data solutions, data science, data storage
     IBM
By: IBM     Published Date: Jul 06, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : ibm, mdm, big data, ibm infosphere, data science
     IBM
By: IBM     Published Date: Jul 06, 2016
Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data.
Tags : ibm, mdm, big data, trusted data, data solutions, data science
     IBM
By: IBM     Published Date: Jul 06, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
Tags : ibm, trusted data, data optim, big data, hybrid data environments, data science
     IBM
By: IBM     Published Date: Oct 13, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : ibm, mdm, big data, ibm infosphere, mdm advantagw, analytics
     IBM
By: IBM     Published Date: Oct 13, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
Tags : ibm, trusted data, data governance, governance, big data, hybrid data environments, data science
     IBM
By: IBM     Published Date: Oct 13, 2016
Cloud-based data and processing services present too much opportunity for organizations to ignore. How can organizations realize the obvious financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? Good hybrid information governance implies several priorities for IT and the business which are based on these foundational pillars: - Broad agreement on what information means - Clear agreement on how owned information assets will be maintained and monitored - Standard practices for securing strategic information assets - Enterprise data integration strategy
Tags : ibm, trusted data, big data, governance, data governance, data science
     IBM
By: IBM     Published Date: Oct 13, 2016
Who's afraid of the big (data) bad wolf? Survive the big data storm by getting ahead of integration and governance functional requirements Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
Tags : ibm, big data, trusted data, data management, data solutions, analytics, data science
     IBM
By: IBM     Published Date: Apr 13, 2018
By leveraging the comprehensive capabilities in Information Governance Catalog, you are better able to align IT with your business goals.
Tags : cloud, governance, trusted data
     IBM
By: KPMG     Published Date: Jul 10, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance looks like. Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics.
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     KPMG
By: KPMG     Published Date: Jul 11, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance look like? Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics. Download the report now:
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     KPMG
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