verifiable

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Published By: Oracle     Published Date: Jun 04, 2019
Yes, you can build better trust in your data —but only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
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Oracle
Published By: Dome9     Published Date: Apr 25, 2018
As of May 2017, according to a report from The Depository Trust & Clearing Corporation (DTCC), which provides financial transaction and data processing services for the global financial industry, cloud computing has reached a tipping point1. Today, financial services companies can benefit from the capabilities and cost efficiencies of the cloud. In October of 2016, the Federal Deposit Insurance Corporation (FDIC), the Office of the Comptroller of Currency (OCC) and the Federal Reserve Board (FRB) jointly announced enhanced cyber risk management standards for financial institutions in an Advanced Notice of Proposed Rulemaking (ANPR)2. These proposed standards for enhanced cybersecurity are aimed at protecting the entire financial system, not just the institution. To meet these new standards, financial institutions will require the right cloud-based network security platform for comprehensive security management, verifiable compliance and governance and active protection of customer data
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Dome9
Published By: Group M_IBM Q418     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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Group M_IBM Q418
Published By: Oracle     Published Date: Jun 04, 2019
Yes, you can build better trust in your data —but only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
Tags : 
    
Oracle
Published By: Oracle     Published Date: Jun 10, 2019
Yes, you can build better trust in your data —but only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
Tags : 
    
Oracle
Published By: Oracle     Published Date: Jun 10, 2019
Yes, you can build better trust in your data —but only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
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Oracle
Published By: Dassault Systèmes     Published Date: Aug 08, 2017
Learn how Dassault Systèmes Program Management solutions can help Aerospace and Aviation companies reliably execute on their proposed plans to meet their design, cost and schedule targets. Read this whitepaper and gain insights into new practices in four key areas: • Consolidate all program data in one central data repository to use institutional knowledge and improve design analysis and decision support • Data reuse between organizations to avoid duplicate efforts and misunderstandings • Real-time reporting automation of key data to assess program performance and anticipate risks and opportunities • Program control with real-time, up-to-date, detailed and verifiable information while preserving program and partner IP
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dassault, systemes, program management, aerospace and aviation, program data, automation
    
Dassault Systèmes
Published By: IBM     Published Date: Feb 27, 2014
This is a paper on model based requirements analysis where best practices in using modeling for requirements analysis and how that links with requirements management is discussed.
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ibm, ibm software, systems engineering, best practices, model-based analysis, verifiable, it systems, customer needs
    
IBM
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