Search results “Improving product data quality”
Three Critical Steps to Improving Product Data Quality (Part 1)
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: 1307 datafluxcorp
Three Critical Steps to Improving Product Data Quality (Part 2)
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: 1172 datafluxcorp
Three Critical Steps to Improving Product Data Quality (Part 3).mp4
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: 941 datafluxcorp
Three Critical Steps to Improving Product Data Quality (Part 4)
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: 3441 datafluxcorp
How Data Is Improving Quality in Manufacturing
For one of the largest automakers in the world, making higher quality products means more productivity and more profit. IBM implemented predictive modeling tools to find production quality optimizations across their manufacturing processes and turned data from across their production line into 25% increased productivity, minimized waste, and over 50% reduction in time required to implement optimizations. Follow this link to see all of the ways IBM is improving quality in manufacturing: https://ibm.co/2J4ZSKB
Views: 1367 IBM Industries
Demo: Improving SAP Data Quality through Master Data Management (MDM)
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: 4780 SOFTWARE AG
Improve Data Quality: Plug the Leak & Bail the Boat
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: 276 InfoTechRG
Data Quality Concepts
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
How to Improve Quality in a Marketplace by Airbnb Product Lead
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
How to Ensure Data Quality in Case Management   4 Practical Strategies
Originally held on 11/17/16, this webinar offers four practical strategies for improving data quality in refugee case management programs. Data experts from the IRC and Church World Service discussed why data quality is so important, demonstrated time-saving tips and tricks in Excel, and shared the real-world implications of quality data. META was joined by Mia Witte, Associate Director for Resettlement at Church World Service, Abigail Clarke-Sayer, Program Officer for Information Systems at the IRC, and Prospero Herrera, Program Officer for Data Quality Systems at the IRC. --- The META Project aims to improve ORR-funded organizations’ capacity to collect meaningful data, manage it well, analyze it effectively, and use the resulting analyses to improve project design. To hear about future META webinars, sign up for our newsletter here: http://www.eepurl.com/bOeyZ1
Views: 417 META Support
Improving Asset Data Quality  for Analytics Driven Maintenance & Reliability
Hidden within your massive volumes of complex, varied asset data are the keys to higher productivity and greater plant efficiency, improved up time and increased business performance. To unlock these benefits it is important to realize how quality data can impact organizational goals & corporate sustainability. Key Takeaways: During this session, Senior Consultant from AssetAnalytix will discuss: 1. How to monitor asset data quality 2. Steps to improve asset data quality 3. It will discuss challenges faced in entering good quality data and how to overcome those. 4. Understanding use of analytics for utilizing good data quality to benefit informed decisions & drive business performance
Views: 347 rhmedia123
Horizon Quality - Demonstration: Data Quality Reporting Software from IntoZetta
Learn more about our data software and managed solutions: http://intozetta.com IntoZetta has developed a range of highly configurable and easily deployed data software called the Horizon Data Suite. This is a demo for Horizon Quality - a data quality reporting software which transforms understanding and measurement of data quality and pinpoints the areas where data quality must improve. The software has been built with the business user in mind, it includes powerful reporting and presentation capabilities, and it brings visibility to data quality regardless of time and location via tablets, smartphones, and laptops.
Views: 639 IntoZetta
Improve Product Quality and Time to Market by Optimizing Time-Dependent Process Modeling
Multivariate analysis benefits and best practices for batch modeling and monitoring: Variability of raw materials and intermediate products is a common problem in many industries, in particular in life sciences, and this remains a factor that must be accommodated in the various unit operations (process steps) to ensure a consistent product quality. In addition to variability of inputs, monitoring a batch process with several phases or varying duration is a key challenge for establishing model predictive control. Combining these challenges with the regulatory constraints, many organizations are experiencing strains on the effectiveness of product development and ultimately it is impacting time to market. By using a multivariate approach we are able to monitor and model many parameters at the same time. Accordingly, the batch trajectories can be developed from advanced sensors such as spectrometers of different types to fully benefit from the resolution and sensitivity of these. By default the operational time in bioprocesses varies, and often there are different phases. Both in terms of mapping of the operational time to relative time and also for phase transitions this new batch modeling tool has proven effective. The method estimates the batch trajectory and confidence intervals in relative time and; Removes dependence of the process time axis Allows visualization of how the process evolves independent of sampling rate Enables plot of individual variables in relative time This innovative approach will provide new opportunities to improve quality, and serve to build greater confidence in the market for your products. We will share the most relevant cases where assumption-free modeling of time-dependent process has proven to substantially enhance early fault detection and thus improved process and product quality. Register for this webinar to gain insight in an innovative approach that will help you proactively address challenges in product development, in real-time manufacturing scenarios as well as in the quality control phase of the product.
Views: 279 Camo Analytics
How to Improve Address Data Quality
The fastest and easiest way to verify, geocode and enrich global address data, period.
Views: 326 Wall Street Network
SAP Data Quality Management, microservices for location data: SAP Master Data Governance
https://www.sap.com/products/data-quality-management.html This video describes an overview of the SAP Data Quality, microservices for location data and the in-built integration with SAP Master Data Governance. It demonstrates address validation with native integration to SAP Master Data Governance. SAP Data Quality Management, microservices for location data is a cloud service that delivers detailed and accurate location data across every application. This microservice is deployed on SAP Cloud Platform, it includes SAP HANA Data Management Suite capabilities such as address cleansing and validation, geolocation enrichment services, and built-in integration to SAP applications.
Views: 419 SAP Technology
Quality Improvement in Healthcare
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: 291708 DocMikeEvans
Product Information Management (PIM) Informatica Data Quality (IDQ) Overview of PIM 7.1.02
This video explains about the PIM IDQ Integration, Data Quality Perspective Overview, Importing DQ Rule Set package which come with the product and running the Sample DQ Rule.
Views: 5952 Informatica Support
Sequencing Data Quality Roundtable (Part 2)
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: 175 Illumina
Quantitative Western Blotting: How to improve your data quality and reproducibility
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: 2186 Bio-Rad Laboratories
Improving Data Quality with Dynamic Forms
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
Improving Data Quality and Compliance with The Timken Company and SAP HANA® Cloud Platform
“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: 2491 SAP Technology
How to improve Analytics by doing Informatica DQ and DaaS centrally in Data Integration Hub
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: 333 Informatica Support
Master Your Data. Master Your Enterprise.
Improving customer service, bringing new products to market faster -- are just a few ways that relevant, trusted data are vital. In this screencast, see how data quality and mastering data are key to improving business results.
Views: 2834 OracleMDM
Data quality solutions: Master your data!
Manage your company's most valuable asset: your customer data! Increase profit, productivity and customer satisfaction with data quality solutions! Learn more: http://www.humaninference.com
Views: 1504 holger wandt
Juran on Quality Improvement: Session 3 - Improving Product Salability
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: 1598 Juran
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
Sequencing Data Quality Roundtable (Part 3)
Part 3 - In next-generation sequencing, there has been a lot of focus on the throughput of systems. As new ranges of applications and sample types are introduced, the conversation shifts to accuracy. The efficiency of a sequencer is defined by the usable data it generates. Illumina product experts discuss the hidden costs of accuracy. http://www.illumina.com/truseq
Views: 137 Illumina
Creating A Data Quality Loop to improve decisioning
Creating a "Data Quality Loop" : Involve IT and organisation in a simple yet effective way to improve data quality and improve decisioning
Views: 369 johan koopmans
Improve Product Quality with PLM - Vergent
PLM Case Study: TDP Corp. Improves Product Quality and Remains Competitive in Tough Economy with Omnify PLM
Views: 233 Omnify Software
National Product Catalogue - Data Quality Project - Healthcare
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: 345 GS1 Australia
Q-Monitor - Establish a continous improvement process with Q-Checker
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: 1000 TechniaDACH
2018 Data Quality Tools Market in the APAC Region Analysis and Forecast
Data quality tools are used to ensure that the quality of data delivered, used, or received is fit for purpose, including core business operations, business information analytics and decision making. Vendors in this market offer a wide range of data quality tools to improve data for their customers, including data profiling, monitoring, parsing, standardization, and data enrichment tools. These tools are applied to various types of data such as customer data, financial data, and product data to provide high-quality information or improve data quality.
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: 49 LEORON Institute
Masters of the Data: CIOs Tune into Data Quality and Master Data Management
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: 482 oraclefusionmiddle
Process, material, component and product quality
IBM Prescriptive Quality on Cloud employs an advanced set of statistical algorithms called Quality Early Warning System (QEWS) which detect emerging quality problems sooner and with fewer false alarms than typically achieved by traditional statistical process control. For a given level of statistical confidence QEWS usually needs fewer data points than SPC methods. The user experience is designed to easily organize, analyze, manage, and share process and quality data across lines of business. Learn more about the ability of IBM Prescriptive Quality on Cloud to help improve quality of manufacturing processes, materials, components and products via ibm.co/pqoncloud
Customer Data Quality Management
Adopting a more sustainable approach
Views: 896 FreeformDynamics
PDH Product Data Hub in Oracle, Oracle Applications Training
This is a video of Product Data Hub as it displays data from the EBS Item Master.
Views: 6508 Larry Sherrod
Averna Webcast: Need to Improve Product Quality and Yields
In today's market, product quality is paramount -- it is directly related to brand health and bottom-line profits. And yet makers of electronics and other "smart" products are finding it increasingly difficult to manage quality across their distributed and globalized supply chains. A comprehensive test and quality management solution that spans all partners and phases of the product lifecycle -- from design and production to after-sales service -- can revolutionize your processes, getting you to quality faster than ever. This 45-minute webcast covers: -Describe the most common product and supply chain challenges facing electronics OEMs -Explain the key functions of a centralized test and quality management solution -Show how the solution optimizes typical inbound and outbound workflows -Demonstrate OEM use cases to illustrate how the solution can improve product quality and yields
Views: 417 Averna Technologies
SAP Insider Webinar   Advanced Self service Master Data improvement
Learn how to improve master data quality without outside help. Companies with robust processes can manage this challenge themselves with the right combination of tools and embedded in-house knowledge. In this webinar, we'll cover how to: - Standardize, normalize, attribute, rationalize, and enrich your data using embedded knowledge - Improve material, product, customer, vendor, and services master data with a secure, Saas deployed solution - Leverage this solution that uses Artificial Intelligence-based and Learn-by-Example-based technologies to optimize SAP NetWeaver® MDM, SAP® SRM, SCM, MM, and SAP PLM.
Views: 486 VerdantisInc
How to Improve Product Quality - Importing from China
Product quality can make or break your import export business. Learn to select manufacturers with proven quality, and negotiate quality improvements when sampling and importing. http://www.myimportlabel.com.au/start-an-import-business/
Views: 560 Craig Ford
Data Quality Scorecard
Views: 2433 Blackbaud
Data Quality made Easy
Your data quality issues solved in a matter of minutes. Learn more: http://www.humaninference.com
Views: 715 holger wandt
SolidWorks Composer - Leverage existing 3D CAD data to improve documentation quality and efficiency
In this video, Alex Kok from Intercad (http://www.intercad.com.au) provides an overview of how engineering environments can easily leverage existing 3D CAD data to efficiently create and update high quality graphical assets for product documentation such as instruction manuals and interactive web-based content. INTERCAD (http://www.intercad.com.au), Australia & New Zealand's Elite SolidWorks Composer Reseller helps its customers attain the ultimate in design efficiency, productivity and innovation. To find out how you can benefit from 3DVIA COMPOSER call INTERCAD at 1300 CAD CAM (Australia) or 0508 CAD CAM (New Zealand) or visit http://www.intercad.com.au/contact/
Views: 1546 iCADChannel
Business Intelligence and Data Quality
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: 3877 Actian DataCloud
Waterline Data - Using a Data Catalogue to Lift your Data out of the Fog
In this session of Bock Corp's Strategic Partner Series, Alex Gorelik, the Co-founder and CTO of Waterline Data explains how to utilise a data catalogue to maximise your data assets while improving data lineage and governance. About Alex: Prior to Waterline Data, Alex served as General Manager of Informatica’s Data Quality Business Unit, driving Marketing, Product Management and R&D for an $80M business. Alex joined Informatica from IBM, where he was an IBM Distinguished Engineer for the Information Integration team. IBM acquired Alex’s second startup, Exeros, where he was founder, CTO and VP of Engineering.
Views: 40 BOCK CORP
Improve Customer Experience with a B2B Product Information Management (PIM) Solution and eCommerce
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: 391 Perficient, Inc.

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