product data quality

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Manufacturing Process Optimization

Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software

Get the most from your AI investment by operationalizing analytics

Published By: SAS     Published Date: Nov 08, 2019
Organizations realize they need analytics to run, grow, and differentiate their products and services. More than just driving strategic decision making, they need to incorporate analytics into their high-volume operational and transactional decisions every minute of every day. This means that analytics is no longer just the responsibility of the data science team. Organizations have to continuously deliver analytics into operational systems in a systemic, high-quality and dependable way.
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SAS

Trust, But Verify: Configuration Management with Data Certification

Published By: ServiceNow     Published Date: Oct 18, 2013
Certifying the accuracy of a CMDB with inconsistent, manual methods is unreliable. ServiceNow's built-in data certification gives you the ability to automate the process. Learn how data certification works with the ServiceNow CMDB to deliver a trustworthy single system of record you can rely on.
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configuration management, data certification, product management, servicenow, enterprise it cloud, it cloud company, infrastructure applications, management applications, operational applications, identifying configuration items, defining configuration items, integration, webinar, data quality, it management, application integration, application performance management, customer relationship management, customer satisfaction, customer service
    
ServiceNow

Automating Data Masking and Reduction for SAP System Copy

Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Challenge It is not uncommon for SAP system copies, including any post-editing, to take several days to complete. Meanwhile, testing, development and training activities come to a standstill, and the large number of manual tasks in the entire process ties up highly skilled SAP BASIS staff. Opportunity Enterprises are looking to automation as a way to accelerate SAP system copies and free up staff. However, this is only one part of the problem: What further complicates the system copy process is the need to safeguard sensitive data and manage huge data volumes while also ensuring that the data used in non-production systems adequately reflects the data in production systems so the quality of development, testing and training activities is not compromised. Benefits This white paper explains how a considerable portion of the SAP system copy process can be automated using the CA Automic Automated System Copy for SAP solution and SNP T-Bone, helping enterprises become more agile.
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CA Technologies_Business_Automation

What does the GDPR mean to you?

Published By: CA Technologies     Published Date: Sep 13, 2017
"There's new legislation in place, that's expanded the definition of personal data and puts IT and testing departments on high alert to safeguard personal data, across testing and development environments. It's the General Data Protection Regulation (GDPR). Are you ready for it? In this session, we’ll demonstrate how CA Test Data Manager helps to both mask your production data and to generate synthetic test data; a powerful combination to help you meet compliance needs and deliver quality applications. There will be a short section on the future of the tester self-service model that will enable testers to efficiently get access to the right test data."
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CA Technologies

Three Critical Steps to Improving Product Data Quality

Published By: DataFlux     Published Date: Jan 07, 2011
This white paper describes a general approach for planning your organization's efforts to improve data quality, providing a data-example-driven perspective of some of the unique challenges of product data quality, as well as discuss and demonstrate three critical steps to improving product data quality.
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dataflux, product data quality, standardization, matching, database development, data quality
    
DataFlux

5 Data management for analytics best practices  

Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS

Supercharge Salesforce.com initiatives with a 360 degree view of the customer

Published By: IBM     Published Date: Jul 13, 2015
This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources.
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crm cloud solution, salesforce, user productivity, data enrichment, security, data quality, customer data search, customer relationship management
    
IBM

Automotive System Design and Mechatronics

Published By: IBM     Published Date: Mar 24, 2009
Electronics and Software Engineering are quickly merging with traditional Mechanical Engineering to create a new paradigm in auto manufacturing: Mechatronics. Industry experts predict that this shift will bring about profound advances in automotive product development. Unfortunately, existing IT and process infrastructures do not provide sufficient capabilities to support the new paradigm: multiple data silos, a lack of standardized processes, and integration issues on a tool level (Mechanical, Electronic, Software) continue to pose serious obstacles to development efficiency, and remain a frequent source of delays, quality issues and cost increases.
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ibm, ibm telelogic, automotive system design, mechanical engineering, mechatronics, oems, electronic stability programs, esp, electric overlay steering, ancillary systems, active lighting, pdm, product data management, pcb-layout domains, ptc, automotive product development system, sourcing, engineering, engineering change orders, ecos
    
IBM

Business Success Plan for Unforeseen Failures

Published By: Cox Business     Published Date: Dec 19, 2016
Businesses need to plan for unforeseen events that can disrupt productivity, impair the customer experience, and possibly even threaten a business’s existence. A disruption every business needs to plan for is any event that destroys valuable data, inhibits access to data, or causes downtime of core applications. Consider the staggering amount of information your company stores electronically. What if an unforeseen event destroyed all financial records, client contacts, and application data? You wouldn’t be able to send customers accurate invoices. Your marketing efforts might be undermined. You would lack key metrics for measuring quality, profitability, and more. The losses could be staggering. In every aspect of life, it’s smart to plan for unexpected events. That’s especially true for two plans every business must have: a disaster recovery plan and a business continuity plan.
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Cox Business
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