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Three Critical Steps to Improving Product Data Quality (Part 4)
 
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In the fourth and final part of his series, thought leader Jim Harris introduces the three critical steps to improving product data quality. To download Jim's white paper on the topic, go to: http://bit.ly/gYgM4X
Views: 3550 datafluxcorp
Three Critical Steps to Improving Product Data Quality (Part 1)
 
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Thought leader Jim Harris introduces the three critical steps to improving product data quality. To download Jim's white paper on this topic, go to: http://bit.ly/eFKwC0.
Views: 1337 datafluxcorp
Three Critical Steps to Improving Product Data Quality (Part 2)
 
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In the second part of his series, thought leader Jim Harris introduces the three critical steps to improving product data quality. To download Jim's white paper on the topic, go to: http://bit.ly/gYgM4X
Views: 1199 datafluxcorp
Three Critical Steps to Improving Product Data Quality (Part 3).mp4
 
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In the third part of his series, thought leader Jim Harris introduces the three critical steps to improving product data quality. To download Jim's white paper on the topic, go to: http://bit.ly/gYgM4X
Views: 959 datafluxcorp
Quantitative Western Blotting: How to improve your data quality and reproducibility
 
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Learn how to improve your western blotting results and generate publishable data. Poulomi Acharya, PhD walks you through techniques to improve the detection and quantification of proteins using western blotting. Visit https://www.bio-rad.com/BetterWesterns for product information Visit https://www.bio-rad.com/webinars for more webinars Quick links to Chapters: 0:01 Introduction 0:27 Western blotting is a widely used, powerful technique 1:20 The first western blot 2:00 Steps of western blotting 2:18 Sample preparation (cell/tissue lysate) 2:52 Sample preparation (lysis technique) 4:15 Choosing the right gel/buffer chemistry 5:53 Choosing the right gel percentage 6:13 Choosing the right protein standards 6:44 Protein loading best practices 8:04 Running the gel 8:24 Protein Transfer - Selecting the membrane 9:38 Best practices for transfer 10:35 Wet vs semi-dry transfer 11:35 Blocking:blocking agent, buffer, detergent 12:12 Antibodies 13:15 Immunodetection 14:00 StarBright fluorescent secondary antibodies 16:00 Current practice demands multiplexing 16:32 Why fluorescence 18:00 Stripping/Re-probing 19:02 Data analysis 19:47 Who is a better high-jumper? 20:22 Challenge: Linear range and saturation 20:51 Journals recommend total protein normalization 22:30 Linear Quantitation 23:40 Conclusion We Are Bio-Rad. Our mission: To provide useful, high-quality products and services that advance scientific discovery and improve healthcare. At Bio-Rad, we are united behind this effort. These two objectives are the driving force behind every decision we make, from developing innovative ideas to building global solutions that help solve our customers' greatest challenges. Connect with Bio-Rad Online: Website: http://www.bio-rad.com/ LinkedIn: https://www.linkedin.com/company/1613... Facebook: https://www.facebook.com/biorad/ Twitter: https://twitter.com/BioRadLifeSci Instagram: @BioRadLabs Snapchat: @BioRadLabs
Views: 2485 Bio-Rad Laboratories
How to Improve Quality in a Marketplace by Airbnb Product Lead
 
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Airbnb is the ultimate unicorn. As a digital marketplaces, Airbnb has fundamentally transformed the way in which we as consumers book vacations. This talk was a crash course on this new wave of products, and how it compares with a traditional managed inventory. Jiaona went over how Airbnb manages its quality of the marketplace to ensure its high standards are met while serving as many users as possible. She covered the building blocks that make up marketplaces, common dynamics that influence how behavior, the interplay of data and Design in shaping the UX, what value delivery means and lastly tracking and managing growth to liquidity and success. Jiaona Zhang is a Product Manager at AirBnB. She leads a group of 40-50 engineers, designers, data scientists, and user researchers across several major teams on the supply side, including Quality, Reviews and Mobile. She has over 6 years of Product experience in companies such as AirBnB and DropBox. She has a Bachelor's degree from Yale University. 👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Don’t forget to follow us on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: http://bit.ly/2r0rmIA Find out more about us: http://bit.ly/2ypH83P 💻 ABOUT US: We host product management, data and coding events every week in Silicon Valley, San Francisco, Los Angeles, Santa Monica, Orange County and New York. Click here to see what we have coming up: http://bit.ly/2yqnsgf Product School is the world’s first tech business school. We offer certified Product Management, Coding, and Data courses; our instructors are real-world managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in Silicon Valley, San Francisco, New York, Orange County and Los Angeles. Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. If you want to become a product manager in 8 weeks, see our upcoming courses here: http://bit.ly/2ypH83P 📓 The Product Book has arrived! Learn how to become a great Product Manager. On sale for a limited time. Get your copy here: http://amzn.to/2uJqg9A #ProductManagement #ProductSchool #Upskill #TechEducation #Education #Product #TechStartup #FinTech #Business #ProductManager #ProdMgmt
Improve data quality using Apache Airflow and check operator - Sakshi Bansal
 
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The Data Team at Qubole collects usage and telemetry data from a million machines a month. We run many complex ETL workflows to process this data and provide reports, insights and recommendations to customers, analysts and data scientists. We use open source distribution of Apache Airflow to orchestrate our ETLs and process more than 1 terabyte of data daily. These ETLs differ in terms of frequencies, types of data, transformation logic and their SLA’s. Due to the volume of data and differences amongst ETLs, it becomes difficult to monitor the quality of data. Errors are introduced at all stages - extraction, transformation or load and usually happen due to infrastructural or logical issues. In order to catch these errors, we came up with the idea of using assert queries, just like we have assert statements in a unit test framework. These queries would run after an extraction/transformation/load step has finished and run some predefined diagnostic queries on the data to match the output against some expected value. In this talk, I will Discuss the complexities involved in detecting discrepancies in the output of any data transformation process and protecting any downstream process in case of any issue. Introduce the approach we have adopted for running these assert queries based on the Check operator in Apache Airflow to quantify data quality and alert on it. Discuss the enhancements we have made in the Qubole’s fork of Apache Airflow’s check operator in order to use it at a bigger scale and with more variety of data. We plan to contribute these enhancements back to Apache Airflow soon. Talk about the lessons learnt and best practices in maintaining data sanity for data in motion. We have integrated most of our ETLs with these data quality verification techniques, and the results look promising. We have been able to make this work across ETLs having nothing in common but the fact that they run on Apache Airflow. Sakshi is a graduate from BITS Pilani and has been working with Qubole for the last 2 years. She has worked with the data team at Qubole and was involved in building a data streaming platform and data warehouse for the company.
Views: 673 HasGeek TV
IMPROVING DATA QUALITY: Excel for HIM Professionals Webinar : Volume 1, Pt.2
 
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Part 2 of 7 Original Air Date: April 23, 2013 Webinar hosted by: Ellen Shakespeare, Academic Director for Health Information Management at CUNY School of Professional Studies Michael Gera, Health Information Management Instructor Be sure to sign up for the follow up Webinars featuring more HIM (Health Information Management) info! Volume II RSVP: https://www2.gotomeeting.com/register/303933130 Volume III RSVP: https://www2.gotomeeting.com/register/529555866
Creating A Data Quality Loop to improve decisioning
 
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Creating a "Data Quality Loop" : Involve IT and organisation in a simple yet effective way to improve data quality and improve decisioning
Views: 371 johan koopmans
Demo: Improving SAP Data Quality through Master Data Management (MDM)
 
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Learn why ERP customers are using MDM to help govern and deploy SAP master data. ERP systems are just one component in increasingly complex, digital enterprises. Add in system and data churn from mergers & acquisitions, and the case for a holistic approach to master data management and integration has never been clearer. Watch this demonstration and learn: - How to improve business processes in SAP environments through versatile, multi-domain master data management - How to provide the most comprehensive workflow / governance process available - How to achieve real-time data integration and governance with SAP and Salesforce.com To speak to an expert or see a custom demo, contact us at https://www.softwareag.com/corporate/contact/default.asp Or visit https://www.softwareag.com/mdm
Views: 5168 SOFTWARE AG
Quality Improvement in Healthcare
 
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Thanks to St. Michael's Hospital http://www.stmichaelshospital.com, Health Quality Ontario http://www.hqontario.ca, and Institute for Healthcare Improvement http://www.ihi.org Check out our new website http://www.evanshealthlab.com/ Follow Dr. Mike for new videos! http://twitter.com/docmikeevans Dr. Mike Evans is a staff physician at St. Michael's Hospital and an Associate Professor of Family Medicine. He is a Scientist at the Li Ka Shing Knowledge Institute and has an endowed Chair in Patient Engagement and Childhood Nutrition at the University of Toronto. Written, Narrated and Produced by Dr. Mike Evans Illustrations by Liisa Sorsa Directed and Photographed by Mark Ellam Produced by Nick De Pencier Editor, David Schmidt Story/Graphic Facilitator, Disa Kauk Production Assistant, Chris Niesing Director of Operations, Mike Heinrich ©2014 Michael Evans and Reframe Health Films Inc.
Views: 315973 DocMikeEvans
Webinar: Improving data quality for everyday business processes
 
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Watch our webinar where we delve into practical guidance to help you deliver everyday business value with high-quality data. Find out more about how we help with data quality here - https://www.edq.com/uk/products-for-data-management/
Views: 14 DataQualityUK
How to Improve Address Data Quality
 
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The fastest and easiest way to verify, geocode and enrich global address data, period.
Views: 327 Wall Street Network
DQ vs MDM
 
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What is the difference between Data Quality tools and Master Data Management tools? This video from Intricity dives into how these two tools differ from each other in tackling the trustworthiness of your data. To Talk with a Specialist go to: http://www.intricity.com/intricity101/ www.intricity.com
Views: 57061 Intricity101
Improving Customer Satisfaction Through Data Quality
 
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Transcript - April 13 - 2017 Online retailers of all sizes are constantly under attack by sophisticated fraudsters. In fact, credit card fraud costs US online retailers an estimated $3.9 billion each year. Service Objects’ suite of data quality web services allow retailers to detect fraudulent or bogus activity quickly, reducing chargebacks and lost shipments while increasing customer satisfaction. Our DOTS Address Validation service adds a critical layer of correction and standardization to contact information at the address level, preventing undeliverable and lost shipments. By leveraging the most current USPS certified address information, retailers can feel confident about improving delivery rates while reducing fraud associated with vacant addresses, PO boxes and commercial mail handlers. To further reduce fraud, we will also recommend DOTS IP Address Validation. This web service validates the location of a customer's computer against their self-provided billing and shipping address information. Mismatches in location are flagged at the time of the transaction, reducing potentially fraudulent orders. Service Objects uses more than 20 authenticated sources to provide millions of unique IP records, making our service more accurate than other geolocation services in the market. Service Objects is the leader in real-time contact validation, and we are committed to helping retailers prevent fraud while increasing operating efficiency through data quality excellence. For more information about our industry-leading web services, please contact us at www.serviceobjects.com.
Improving Data Quality and Compliance with The Timken Company and SAP HANA® Cloud Platform
 
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“Now when our colleagues look at analytical information to develop trends,” says Mary Kosita of global steel manufacturer The Timken Company, ”they are confident that the data underneath is correct, accurate, and timely.” Hear from Mary and her colleague Brice Bender how her company enhances data confidence using Accenture’s HR Audit and Compliance-as-a-service running on SAP HANA Cloud Platform, extension package for SuccessFactors.
Views: 2589 SAP Technology
Improve OSM data quality with DeepLearning
 
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by Olivier Courtin At: FOSDEM 2019 https://video.fosdem.org/2019/AW1.126/geo_osmdeeplearning.webm Quality Analysis on a wide dataset, is always a gageure. And automatic semantic segmentation from imagery is still an open subject since decades. But. Nowadays with latests DeepLearning techniques, we can use new kind of techniques, to easily extract patterns from our dataset, and therefore help humans to be that more efficient to take the right decision (think filtering). Two main points on this presentation: - How to produce high quality results, while you start with noisy/creapy/real world data ? - How to predict, at scale without huge hardware infrastructure ? RoboSat.pink as the ecosystem to do so. Room: AW1.126 Scheduled start: 2019-02-03 09:00:00+01
Views: 61 FOSDEM
National Product Catalogue - Data Quality Project - Healthcare
 
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GS1 Australia and the Australian Digital Health Agency are helping to improve the quality of healthcare data on the GS1 Australia National Product Catalogue. An Automated Data Quality Validation Tool has been developed to provide detailed reports. The reports will provide publishers and recipients with the status of their data quality.
Views: 366 GS1 Australia
Improve Data Quality: Plug the Leak & Bail the Boat
 
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Get free access to research at http://bit.ly/eUMhHD Data quality is a significant issue facing many organizations. Despite the costs and headaches associated with having poor data, most organizations struggle to define and implement a strategy for effectively improving data quality. Data quality costs organizations time, effort and money. There are five types of interrelated data quality issues: Data duplication Stale data Incomplete data Invalid data Data conflicts This video will provide an overview of what data quality is, how it negatively impacts the organization, and steps that can be taken by the business and IT in order to mitigate data quality risks and to improve quality.
Views: 280 InfoTechRG
How to improve Analytics by doing Informatica DQ and DaaS centrally in Data Integration Hub
 
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To maximize the business impact of analytics, you need everyone in the team using high quality, fresh data consistently across the organization. Leveraging tools to cleanse and enrich data are critical to improve the quality of data for analytics, but even the best data quality and data as a service product may not boost the quality of analytics across your organization if they are use inconsistently across projects. By doing data quality and enrichment centrally in an integration hub, the processing and delivery of fresh and consistent data to all analytics systems can be automated. Every analytics system that needs the latest prepared data can subscribe to published certified data sets. During the webinar, you’ll learn how: · Centralization of data cleansing is key to analytics success · Dependence on central IT can be reduced with self-service access to curated data · Data quality in the central hub ensures consistent use of clean data · Centrally enriching data contributes to more accurate analytics This is a Meet the Experts webinar with the Informatica Expert team on Data Integration Hub, Data Quality and Data as a Service focused on the benefits of doing Data Quality and DaaS enrichment centrally. We will go through an overview of how this works and the key capabilities of the Informatica products making up this solution. We will show a product demo highlighting how to use Informatica Data Quality and DaaS centrally with Data Integration Hub publications and take questions from the audience. Agenda: Introduction Informatica Data Quality overview Data as a Service to enrich customer data Data Integration Hub to power centralized data cleansing and enrichment Demo of using Informatica Data Quality and DaaS within Data Integration Hub publications Technical Q&A session with the Expert Team Speakers: Scott Hedrick, Director Product Marketing Thomas Brence, Director Product Marketing Stefan Manns, Senior Product Specialist
Views: 357 Informatica Support
How AI/ML simplifies Data Quality and increases accuracy
 
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Operationalizing data quality validation has been tedious and error prone with the use of the usual ETL and Data Prep tools. It’s a nightmare to try to manage even just 100 DQ validation checks/table, for 1000’s of tables, over months and years. AI/ML simplifies this by learning 75-80% of business rules automatically from the data itself, which are then automatically updated over time. Users can create over 10,000 biz rules per data set automatically, with high accuracy, fewer people to implement and within a week.
Views: 1050 FirstEigen
Improving Data Quality with Dynamic Forms
 
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Interview at ICTD2009 with Kuang Chen of UC Berkeley on using dynamic forms to improve quality of data collected by mobile phones. See iRevolution blog post here: http://irevolution.wordpress.com/2009/04/22/improving-quality-of-data-collected-by-mobile-phones/
Views: 395 brightearth
Q-Monitor - Establish a continous improvement process with Q-Checker
 
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Q-Monitor makes Product Data Quality (PDQ) visible throughout the entire process chain, providing results that reflect either the current status or data quality over time. Statistical PDQ results are available in either graphical interpretations or data tables. The evaluation reports provide highly relevant feedback and highlights the most common errors that could be eliminated with specific training support. Combining this with Q-Checker´s batch mode data enables clients to evaluate the work of their suppliers in detail. Highlights: + Measure data quality in significant process points + Statistics about most frequent errors and quality improvement + Evaluation of departments, partners and processes + Targeted training
Views: 1015 TechniaDACH
Understanding EMR Data Quality
 
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Learn about the characteristics of data quality and how to apply the concepts for continuous quality improvement in your EMR. This video shares practical approaches clinics can use to analyze, improve and monitor their EMR data quality.
Thomas Elmiger - Where to improve your Product Data: Magento vs PIM vs ERP
 
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Presentation of Thomas Elmiger at the Meet Magento Switzerland 2014 about "Where to improve your Data: Magent vs PIM vs ERP" MM15CH Meet Magento Switzerland 2014
Masters of the Data: CIOs Tune into Data Quality and Master Data Management
 
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Improving customer service, bringing new products to market faster -- are just a few ways that relevant, trusted data are vital. Learn about how data quality and mastering data are key to improving business results.
Views: 489 oraclefusionmiddle
HURDEN-IMPROVING DATA QUALITY USING ADAPTIVE FORMS
 
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HURDEN-IMPROVING DATA QUALITY USING ADAPTIVE FORMS THIS IS THE TECHNICAL PAPER PRESENTATION THAT WE HAVE MADE BASES ON USHER-IMPROVING DATA QUALITY USING DYNAMIC FORMS BY KUANG CHEN. This is a BE/IT level project USHER-IMPROVING DATA QUALITY USING DYNAMIC FORMS belongs to their resp. authors we dont own any copyright. We dedicate this presentation to prof. kuang chen who are our idol. thank you sir for enlightening the world with your wonderful work.KEEP IT UP!!! :)
Views: 72 Nabh Mehta
What can I do to improve my data quality?
 
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itp_set4_03 Short video from IT Performs - Business Intelligence SpecialistsIT Performs (ITP), recently awarded Most Satisfied Customers & Outstanding Sales Performance by SAP BusinessObjects, has delivered business intelligence, data warehousing and information management solutions since 1996. As an award winning Gold Partner of SAP BusinessObjects and a Migration Specialist, ITP has a comprehensive track record of delivering high quality solutions for data warehousing, sales forecasting, financial reporting, budgeting & planning, dashboarding, performance management and data integration / migration initiatives across a number of industry sectors. We work with all the major databases and ERP systems to turn your data into trusted information and use a pragmatic and real world approach to deploy cost effective solutions, ensuring project success. If you would like to discuss any of the issues raised in this video or take part in a business intelligence workshop please use the following contact information: Call 0845 124 9495 or email [email protected]
Informatica BPM with Product360 - Adding Informatica BPM to Improve Business Efficiency
 
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Scott Campbell, Director of Infoverity's Western Region, discusses at a recent user conference how companies are improving their product lifecycle business processes by coupling Informatica Product 360 with Informatica BPM. In this video you'll see a hands-on demo and learn how companies are reducing new product introduction time by 50% or more. For more information on Infoverity, a leading provider of MDM and PIM strategy and implementation, next generation analytics and managed services, reach out to us today at http://www.infoverity.com/contact.
Views: 1177 Infoverity
"Scaling Validation and Quality of Streaming Data Products at Twitter" by Kelly Kaoudis
 
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Twitter data is invaluable for social, behavioral, and marketing research. The Data Products Quality Engineering team builds and maintains services, tools, and process to help feature teams provide a strong distributed streaming architecture to meet customers' social data needs. This talk is about how, as the Twitter data business has grown, we have scaled up from simple QA for streaming systems to building tools and processes for identifying issues both pre-production and for live microservices. I'll cover some of the tools and processes that my team maintain and use now, and how they bring value to the other engineers that depend on us as well as Twitter's data customers. Some of our specialties include end-to-end stress testing, measuring pipeline data loss with respect to meeting product SLAs, and per-message data quality. Kelly Kaoudis TWITTER Kelly Kaoudis is a software engineer at Twitter. She also likes yoga, biking, reverse engineering x86 binaries, and hash functions.
Views: 567 Strange Loop
Juran on Quality Improvement: Session 3 - Improving Product Salability
 
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Selecting projects to improve product salability is the focus of the third segment in the Juran on Quality Improvement Series. In this session the approach of diagnosis of projects aimed at quality improvement, and the associated increase in product salability is examined. Companies devote a great deal of effort to improving their share of market. Much of this effort is quality oriented, i.e., using product quality differences to stimulate client awareness and action. A number of instances involving projects to improve product salability through quality are presented and discussed. Juran on Quality Improvement is a video series developed in 1981 by Juran Institute for organizations to use to help improve quality and reduce costs. The objective of the series is to develop the habit of making annual improvements in quality and annual reductions in quality-related costs. This video is provided by Juran Global. Please come visit us at www.juran.com
Views: 1713 Juran
Data Quality Concepts
 
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Learn about data problems with multiple examples and the data QA process. The volume is low. Please click the Cc button to see subtitles in English. Next, view VBScript tutorials at https://www.youtube.com/watch?v=03BfHDJsFpk&index=1&list=PLc3SzDYhhiGXH8hEHtayRPdwAsddelkh6 Follow me on: Website: http://inderpsingh.blogspot.com/ Google+: https://plus.google.com/+InderPSingh Twitter: https://twitter.com/inder_p_singh
Data Quality made Easy
 
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Your data quality issues solved in a matter of minutes. Learn more: http://www.humaninference.com
Views: 718 holger wandt
Why PIM isn't enough - Webinar
 
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Our CEO Pieter van Herpen on "Why PIM isn't enough". A webinar as presented at the Webwinkel Vakdagen, January 2019. If you have any questions, do not hesitate to contact us at: [email protected] +31(0)208943110 Syndy exists to radically improve the way global brands create, manage, distribute and optimise product content for online retailers and e-Commerce success. Syndy’s unique Content Collaboration Platform (CCP) offers a renewed way for brands to streamline product content delivery to online retailers, customised to their needs. One unified platform experience build upon Product Information Management (PIM) and Digital Asset Management (DAM) capabilities for brands to deliver the right content to retailers, drive content management efficiencies and improve data quality through transparency and actionable insights. At Syndy we're proud to work with some of the most innovate companies in retail including Unilever, Philips, LEGO, Perrigo, RB, Nestlé and Friesland Campina. Syndy is part of Icecat N.V., the global leader in Product Content Syndication (ICECAT: NPEX), but operates independently from its office in Amstelveen and Singapore (as of Q1 2019).
Views: 41 Syndy B.V.
HOW TO IMPROVE PRODUCT QUALITY? A GUIDE FOR BUSINESS MANAGERS
 
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How to improve product quality? Check out this short video guide for Business Managers. Credits for the article goes to: By Hitesh Bhasin, @marketing91.com Link: https://bit.ly/2M9vbdf If you need help with elevating the Quality standards in your company, go here: https://bit.ly/2t6PCMc For a free PDF Training Calendar, click here: https://bit.ly/2Mn0tMM Music: www.bensound.com Built upon the strong experience in the manufacturing sector, which its founders developed in Sweden during the 90’s global expansion, LEORON evolved into the dominant training institute that offers a comprehensive set of training and development solutions. We’ve gained our reputation of a high-end institute by transferring knowledge across the EMEA region and beyond in all strategic corporate functions, including corporate finance, HR, SCM, operations, engineering, quality management, and more. Today, LEORON Institute is globally recognized as one of the leading providers of US-certified programs and accreditations. At present, we offer certifications from the most notable American institutes and associations, such as ASQ, APICS, IFMA, IACCM, PMI, AFP, CAIA, CISI and much more. LEORON’s mission is to help our worldwide clients increase their competitiveness by improving the competency levels of their employees through top quality training and development solutions delivered by unrivaled global experts and facilitated by the best training managers in the industry. Whether our clients are facing difficulties re-organizing their brand, equipping their workforce with an extra set of skills or aiming to assess competencies within an existing structure, our development planning is a great solution. Through powerful content, gamification, and applied learning, we’ve established a great way of building professional skills and competencies. LEORON Training mission is to help corporate clients and government entities worldwide in strengthening the skills, competencies and abilities of their people by providing them with top quality continuous training programs, conducted by unrivalled global experts and implemented by the best event managers in the industry.
Views: 60 LEORON Institute
Software Quality Metrics You Need To Know
 
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In this video we continue with our theme “Metrics that Matter” – Ryan Yackel dives into quality metrics and the reports behind them. View the full Whiteboard Friday series on “Metrics that Matter in Software Testing”: http://bit.ly/2nzSADC Software quality metrics refer to the results of test executions, including metrics like the time it takes to execute tests and session data. These metrics may also include non-results type of reports such as exploratory testing that is focused less on the actual pass/fail results, but more on the overall user experience. Understanding software quality metrics usually begins with the three core reports: test run summary and defect priority/severity and status. The test run summary is integral to showing tests by cycle, project or release -- ideally by the functional area. Look at the latest test run execution results in this view. The defect report by status, severity and priority helps determine the importance of defects found to evaluate which bugs need to addressed immediately and triage the remaining defects for resolution. Extra software reports include executions by week/sprint, results received per requirement and defect density. Understanding test execution by week or sprint shows which days are active for testing and allows you to reallocate test resources based on those needs. Results per requirement reports show which percentage of testing is assigned to each requirement, helping you identify over and under testing of requirements and reassign test executions appropriately. And defect density shows the defects that make up an application or functional area to identify risky applications or functional areas. A couple pro tips for software quality metrics is to keep track of the number of manual versus automated tests, days since test execution run and flapping. Knowing the number of manual versus automated test allows you to help identify some manual tests that can be moved to automated execution, saving time, as well as understand which type of testing produces high value. Tracking the days since test run, on an individual-type basis means you can gauge which test you haven’t run in an extended period of time and reduce the library of tests that have not been run recently. Flapping reports show you which tests always pass under one set of conditions while always failing under another set. When this happens, look at whether the test case has changed and that it is written correctly or check if there’s a problem with the requirement.
Views: 21005 QASymphony
Sequencing Data Quality Roundtable (Part 2)
 
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Part 2 - Certain aspects of accuracy in next-generation sequencing can carry higher risks in specific applications, like clinical sequencing. Illumina product experts discuss what attributes of a sequencing system contribute to the quality of a sequencing data set. http://www.illumina.com/truseq
Views: 176 Illumina
Improving Product Quality with Creo Simulate
 
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Watch the webinar replay to see how you can improve your product quality with Creo Simulate.
Improve Product Lifecycle Performance with Software Monetization Solutions
 
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Robust software licensing and purpose-built entitlement management empowers application producers to gain valuable insight into the download, installation and use of product features. In this demonstration we show how Software Monetization solutions from Flexera Software enables application producers to track software downloads including details on who downloaded what and when; in-product activations to show who licensed and installed your software; and lastly usage management which provides valuable insight on feature usage within the application. This usage data can be used for analysis and for subscription billing. For more information, please visit: http://www.flexerasoftware.com/content/ECM-WBNR-Software-Licensing-Avid-2011
Views: 1275 Flexera
Improve Customer Experience with a B2B Product Information Management (PIM) Solution and eCommerce
 
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As organizations digitize their business to drive better customer experiences and higher growth, many struggle to manage the demand across channels for rich, accurate and complete product data. Here, experts from Insite Software and inRiver discuss the impact of a strong production information management (PIM) and ecommerce solution and how the marriage happens between PIM and ecommerce to optimize operations and improve the user experience. View the full on-demand webinar here: http://www.perficient.com/Thought-Leadership/On-Demand-Webinars/2015/Improve-Customer-Experience-and-Growth-with-Robust-Product-Data-and-eCommerce
Views: 410 Perficient, Inc.
Talend Architecture | Talend for Data Integration and Big Data | Talend Online Training | Edureka
 
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( Talend Training: https://www.edureka.co/talend-for-big-data ) This Edureka video on Talend Architecture will give you the complete insights of the Talend, its various products, and its Architecture. This video helps you to learn following topics: 1. Talend Introduction 2. Talend Products 3. TOS Architecture 4. Talend Functional Architecture Subscribe to our channel to get video updates. Hit the subscribe button above. #TalendArchitecture #TalendTutorial #TalendOnlineTraining #TalendTutorialforbeginners #TalendBigDataTutorial ----------------------------------------------------------------- How does it work? 1. This is a 4 Week Instructor-led Online Course, 30 hours of assignment and 20 hours of project work. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate! -------------------------------------------------------------------- About The Course Edureka's Talend for Data Integration and Big Data Training is designed to help you master Talend and Big Data Integration Platform using Talend Open Studio. It is a free open source ETL tool using which you can easily integrate all your data with your Data Warehouse and Applications, or synchronize data between systems. You’ll also use Talend ETL tool with HDFS, Pig, and Hive on real-life case studies. ---------------------------------------------------------------------- Who should go for this course? The following professionals can go for this Talend For Data Integration & Big Data course: Business Analysts Data Warehousing Professionals Data Analysts Solution & Data Architects System Administrators Software Engineers ----------------------------------------------------------------------- Why learn Talend? Talend is one of the first providers of open source Data Integration Software. Talend provides specialized support for Big Data Integration. By using Talend no coding effort is required for implementing Big Data Solution. This can be designed using drag-and-drop controls and native code is generated automatically. Talend is built in such a way that it is flexible to reside between any of the data sources and platforms out there. With a solutions portfolio that includes Data Integration, Data Quality, Master Data Management, Enterprise Service Bus, and Business Process Management, there is everything you need here to make your data work for you. For more information, please write back to us at [email protected] Call us at US: 1844 230 6362(toll free) or India: +91-90660 20867 Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 6466 edureka!
Improving product quality and batch processing time with batch reactor controls optimization
 
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BASF and ABB collaborate and use ABB batch experts to use proprietary tools to systematically calculate key performance indicators (KPIs) and perform analysis on data collected from a sequence of batch runs. For more information, download the presentation "Batch Process Optimization" at http://plcalternative.com/40
Views: 577 ABB Customer World
THG Energy Solutions Improves Data Quality, Performance, and Accuracy with Urjanet
 
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Dan Frey, President of THG Energy Solutions, shares his experience in working with Urjanet to improve THG's platform offering for customers and achieve a cost advantage. Learn more at https://urjanet.com.
Views: 111 Urjanet
Automate data quality with Talend
 
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https://www.zaizi.com/ https://twitter.com/Zaizi Giuseppe Malanga web-talk on the underlying benefits of striking data quality, data quality common issues and dimensions, what is data quality and finally; introduction to data profiling. This Web-talk also demos how to attain data quality using Talend.
Views: 8914 Zaizi
Improve model quality with Amazon SageMaker Automatic Model Tuning by Kumar Venkateswar
 
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Improve model quality with Amazon SageMaker Automatic Model Tuning by Kumar Venkateswar, Head of Product, Amazon SageMaker, AWS Amazon AI Conclave is an event for business leaders, data scientists, engineers and developers to learn about Amazon's machine learning services and real-world use cases developed by our customers. This program helps you understand how to build smart, customer-centric, scalable solutions in the cloud and on the edge using Amazon AI, AWS IoT, Machine Learning and AWS Deep Learning. Check out more details about the event at https://aws.amazon.com/events/ai_conclave/
Views: 177 Amazon Web Services
Business Intelligence and Data Quality
 
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http://integration.pervasive.com/ Data Quality - David Inbar discussing the benefits of Business Intelligence and how Pervasive can help with your Data Quality needs.
Views: 3899 Actian DataCloud
Chapter 3 of 4: Strategic importance of data - Smarter custody in securities services
 
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Mike Clarke, director, product management, European custody, Deutsche Bank, explains to Joy Macknight how improved data quality will help drive greater value across securities services, as well as new solutions the bank is delivering based on data insights.
Views: 4630 The Banker
Webinar : Fuel the Enterprise with Clean Master Data -Consolidated Product Spare Parts Master - I
 
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"Increase the flow of enterprise savings and business value through a consolidated product spare parts master."- A webinar focused on O&G, Energy and Chemical manufacturing companies. Verdantis has teamed with Newbold Advisors to offer the O&G, Energy and Chemical manufacturing community a consolidated, classified and standardized product spares master data catalog and governance. Join our experts and share best practices on: Opportunities for operational excellence and strategic sourcing savings initiatives Opportunities for achieving better and easier export HTS compliance To make a business case for Material Data Quality initiatives And more ! Join our webinar and learn how a cleansed and standardized product spares catalog can bring enormous value to your global businesses. Join us and say, "Eureka! We've struck new savings and operational excellence."
Views: 235 VerdantisInc

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