Join us for a technical deep dive of the latest version of Informatica Data Quality. In this webinar you will learn about the latest self service functions that we’ve added to IDQ 10.2. Our team of experts will also showcase our latest advancements in the world of hybrid. Having data that you can trust, that’s clean and reliable is simply essential – regardless if that data is on-premise, in the cloud, is big data or traditional data. With the latest advancements in IDQ 10.2, we’ll demo you how you can trust your data for analytics, reporting, governance, and more. This is one webinar you won’t want to miss.Read more >
If you feel like you don’t trust your data, there’s probably a good reason. It happens all the time; companies implement analytics, customize their solutions and don’t audit the implementation to ensure ongoing data accuracy. This leads to multiple inaccuracies, gaps in tracking, and — even worse — information that’s simply missing. Inaccurate data can send a brand down the wrong path, leading to bad decisions and additional costs for tools and resources that could have otherwise been avoided.
Join and learn:
- What data quality is and why it’s critical to an organization's overall success
- Why your data is a mess and how to identify the warning signs of poor data quality
- Best practices to ensure clean and quality data and how to take back control
- And so much more!
The webinar will conclude with a Fireside Chat with live questions from the audience on all things data quality.
In this webinar, Vinaya Thummala and Sarah Moen will share insights on the data governance program at American Family Insurance. They will discuss the value of high quality data to their program and what it has meant to their success. By leveraging Informatica Data Quality, they have been able to ensure that their data is reliable, consistent, and clean. In this webinar, you will:
•Hear an overview of the Information Quality Management Program at American Family Insurance
•Lean how data governance activities are supported by data quality policies, standards and processes to continuously monitor and improve the reliability of business data
•Understand the effective use of data quality in projects: check and ensure the quality of all data, including existing data, transformed data and newly created data
•Discover their Data Quality as a Service Model: Data quality services deployment at Enterprise level for technical expertise, shared infrastructure, and different engagement models to meet all business needs
Businesses deal with the impacts of data quality issues on a constant basis, yet the understanding of what data quality means is still improperly understood. In this webinar we’ll explore some of these impacts and how new approaches to data quality are changing the way organisations utilise data. We’ll also be exploring how new technology solutions are helping organisations investigate and diagnose the causes of various data quality problems and how fixing these issues makes a material impact to the health of the organisation. Data quality has become critical to the success of many business initiatives, so we’ll help you understand what items your detective toolkit needs to containRead more >
Digitization is impacting all organization as they transform themselves into a full digital business to stay competitive – While customers want to engage and transact online and expect a quick and seamless experience. However, many organizations fail to deliver on both counts. For example,
If customers cannot find your products or when they do they are presented with missing or incorrect product information, you will lose the sale.
Challenges & Reality of Commerce (Online & Offline)
• 90% of all shopping cart abandonment happen because customers feel they do not have enough information,
• 40% of all returns are the result of poor product information,
• 65% of consumers find it frustrating to be presented with inconsistent offers, experiences or treatment through different channels when shopping for the same product or service.
This webinar will focus on how to address these challenges and how you can;
• Introducing products faster,
• Reduce the number of returns,
• Generate higher conversion rates,
• Ensure that you are always compliant with regulations,
• Automate your Product Information Data Quality processes.
Join us to hear how to deliver rich, clean and consistent product information that accelerates time to purchase and profit no matter which channel your customers use – And how to extending data quality to the entire customer journey.
The Geisinger Health Plan cares for over 500,000 members in Northeast and Central Pennsylvania. During this webinar, you’ll learn how the Geisinger team is using Informatica’s metadata driven products and solutions to ensure that data is reliable and trusted. You’ll discover both strategic and tactical considerations for leveraging data quality to meet your goals, including industry best practices, design concepts for governance organizations and the development of core technical competencies. Don’t miss this webinar where you’ll hear about lessons learned and innovative approaches directly from the experts at Geisinger.Read more >
Process Big Data with Spark on Microsoft Azure HDInsight
Machine learning helps pinpoint errors in large datasets for cleansing before entering the analytics pipeline. This on-demand webinar shows you how to set it up.
Big data brings tremendous opportunity to better target customers and improve operations. Yet, data-driven insights are only as good and trusted as the data going into them.
Find out how you can build data quality into your structured, semi-structured, or unstructured data on Microsoft Azure Data Lake Store and HDInsight using Talend’s native support for Spark machine learning algorithms.
Watch Microsoft and Talend to see how to:
- Process data faster using Talend’s native support for Spark On Azure HDInsight
- Quickly import bulk data into Azure Data Lake Store
- Deploy Spark machine learning to match and dedupe records at scale
Enable best practices for data quality using Talend Data Stewardship
Today's enterprises need broader access to data for a wider array of use cases to derive more value from data and get to business insights faster. However, it is critical that companies also ensure the proper controls are in place to safeguard data privacy and comply with regulatory requirements.
What does this look like? What are best practices to create a modern, scalable data infrastructure that can support this business challenge?
Zaloni partnered with industry-leading insurance company AIG to implement a data lake to tackle this very problem successfully. During this webcast, AIG's VP of Global Data Platforms, Carlos Matos, and Zaloni CEO, Ben Sharma will share insights from their real-world experience and discuss:
- Best practices for architecture, technology, data management and governance to enable centralized data services
- How to address lineage, data quality and privacy and security, and data lifecycle management
- Strategies for developing an enterprise-wide data lake service for advanced analytics that can bridge the gaps between different lines of business, financial systems and drive shared data insights across the organization
While firmly on the regulatory horizon in the EU, IDMP compliance and corresponding ISO standards are intended for global use and will underpin many future regulations. The ultimate goal is to simplify the exchange of information at a national, regional and global level. And this, in turn, should lead to increased regulatory efficiency, and contribute directly to improving patient safety.
But, Life Science companies are struggling to comply with IDMP requirements. It’s challenging because differing departmental vocabularies and pre-existing hurdles thwart even the simplest internal exchange of information across business and data silos.
Join Informatica, the industry leader in all things data, for a webinar showcasing industry best practices for laying a strategic data foundation for IDMP compliance. You will learn about:
• Best practice for a single authoritative, trusted view of substance, product, organization and reference data
• Key capabilities for the automation of data quality tasks:
o Discover anomalies in your data
o Generate data quality scorecards based on business and quality rules
o Validate and standardise your data
o Route records for manual remediation to data stewards.
These days consumers interact with companies across multiple channels—from walking into a physical location to engaging with your website or even calling to make a complaint. Is your customer experience consistent across these channels? Or do these multiple touch points mean multiple consumer experiences?
Join our webinar to learn how you can create a truly seamless omnichannel experience and gain better insights from a single customer view, all through unlocking the power of your data.
Attend this webinar to find out:
• Where the omnichannel dream falls flat
• What role data and its quality plays in omnichannel and the single customer view
• How to address common data collection challenges, through every channel you interact with customers
• How to achieve omnichannel success through better data quality
You want to transform your business, but your data is spread across a multitude of on-premise and cloud systems. How are you going to organize and manage it all? And how do you even know what data you have and if it’s clean and reliable? We have your answers.
Discover how Informatica simplifies the journey to cloud at the latest unveiling of the world’s #1 data integration and data quality solution, including:
- Informatica PowerCenter 10.2
- Informatica Data Quality 10.2
- Informatica Data Integration Hub 10.2
Data is everywhere! Growing exponentially in size, and complexity too. In this session, we look specifically at the ‘Holy Grail’ of Single Customer View, and at some of these techniques required to achieve that in your own data. But why is it exclusive to Customer Data? Isn’t product data is just as important to a Product manager as Customer Data is to a Marketer or Salesperson? Davinity explores the DQ techniques which can be applied to any type or kind of data to keep it clean and fit for purpose. And is there any difference in achieving such high Data Quality in a Big Data space over more traditional environment? Tune in to find out…Read more >
Learn how to discover more about your data and uncover hidden issues in data quality which can impact on business insights. In this webinar, we’ll take a look at why data quality is important, what we mean by “poor data” and the impact it can have on the business. Trillium Discovery Center is an easy-to-use, browser-based tool, that can really help in understanding and addressing data quality, and we will walk through key features which can help uncover issues you may run into, as well as different options to correct them.
Our presenter, Davinity Powis, is a consultant specialising in Data Quality, Data Integration and Big Data. With 16 years’ practical experience in data marketing prior to joining Synsort, having run her own database marketing agency and as Group Head of Data & Insight, she’s passionate about making data understandable, and exciting!
With organizations collecting an ever-increasing volume of data, the risk of a data breach or falling foul of a regulator is also increasing. Data security, privacy and protection is fast becoming a “must have” requirement within many data programs.
Organizations are starting to realize that there are potentially great synergies in having a much closer understanding of their data from both a governance and security viewpoint. Add in Artificial Intelligence and automation for remediation, together these capabilities are proving to be significant allies in the continuous battle of cyber-security and enabling Data Governance programs.
This webinar explores how these two worlds can now better understand the role that each has to play, in supporting and protecting their organization.
As part of the Reimagine Data Governance series of webinars, Informatica will demonstrate how having a closer relationship between the worlds of governance and security can enhance existing data use and data security capabilities. And how you, in taking that holistic approach, can provide governed and protected data to achieve key business outcomes.
How do you avoid your enterprise data lake turning into a so-called data swamp? The explosion of structured, unstructured and streaming data can be overwhelming for data lake users, and make it unmanageable for IT. Without scalable, repeatable, and intelligent mechanisms for cataloguing and curating data, the advantages of data lakes diminish. The key to solving the problem of data swamps is Informatica’s metadata driven approach which leverages intelligent methods to automatically discover, profile and infer relationships about data assets. Enabling business analysts and citizen integrators to quickly find, understand and prepare the data they are looking for.Read more >
As organizations consume more data from more applications and data sources, managing the consistency and accuracy of that data is critical. Learn how Boomi’s Master Data Hub can help your organization quickly and easily adopt data synchronization, automated validation, data enrichment, and bi-directional data flow.Read more >
Unternehmen spüren kontinuierlich die Auswirkungen mangelhafter Datenqualität; dennoch ist die Erkenntnis, was genau Datenqualität bedeutet, immer noch nicht genug ausgeprägt.
In diesem Webinar betrachten wir einige der Auswirkungen und wie neue Ansätze zu Datenqualität die Nutzung von Daten innerhalb von Organisationen verändern. Wir sprechen auch darüber, wie neue technische Lösungen Unternehmen bei der Untersuchung und Diagnose von Ursachen mangelhafter Datenqualität unterstützen können und wie sich deren Behebung positiv auf die Leistungsfähigkeit eines Unternehmens auswirkt.
Datenqualität ist ein Grundpfeiler erfolgreicher Data Governance und entscheidender Erfolgsfaktor bei vielen Unternehmensinitiativen – wir zeigen Ihnen, welches Instrumentarium Sie als „Data Quality-Detective“ benötigen.
Today's PLM programs are helping companies build new capabilities to improve product portfolio management, sku-level profitability, customer service levels, and regulatory compliance. Data management, migration, and governance are a critical foundation for success, but have added complexity for PLM since much of the data is in "unstructured" sources like PDFs.
Please join this webinar to hear Chris Knerr, BackOffice Associate's Global Big Data & Analytics Leader, share Life Sciences and CPG best practices for PLM programs.
Successful businesses will best utilize enterprise data for effective “defense” (e.g., compliance, such as GDPR and CCAR) as well as “offense” (increased customer engagement and revenue).
View our on-demand webcast and discover how integrated data quality and data governance tools help you confidently achieve regulatory compliance, as well as revenue-building initiatives requiring a 360-degree view of your customers.
Data management experts Ian Rowlands, Product Marketing Manager of ASG and Harald Smith, Director, Product Management of Trillium Software discusses how Trillium Software for data quality, integrated with ASG’s Enterprise Data Intelligence solution, helps you pinpoint where data quality impacts your business, ensuring your enterprise data can be trusted to drive regulatory compliance as well as better business decisions.
Poor data quality is a primary reason why nearly half of all CRM business initiatives fail to achieve their target. Every interaction with your customers – from sales and marketing to customer service and retention – depends on easy access to both trusted and complete customer data. But how do you get in control and maintain data quality? Join us to learn how you can trust and rely on your data with an integrated data quality solution in Microsoft Dynamics 365.Read more >
Implementing critical machine learning-based business applications, from Know Your Customer (KYC), through to Anti-money Laundering (AML) and Fraud Detection, is difficult when data originates from many different sources and geographies, is incorrect, incomplete or badly formatted.
Machine Learning models need large volumes of reliable, current, clean data to do their jobs. Building data cleansing and entity resolution processes on Big Data platforms like Hadoop and Spark is no picnic – and when models get put into practice, the data quickly becomes out of date. So, how do you keep the data in your cluster reliably in sync with transactional source systems in production?
Join us to find out how the key challenges of enabling Machine Learning, in even some of the toughest use cases, can be tackled with real-time data integration and data quality at scale.
Successful brands know that having quality customer data drives greater business success and more engaged customers. Yet organizations of every size continue to struggle with making data-driven decisions as a result of poor quality data.
Join us to learn specific recommendations, tactics, and keys to success in building a data-driven culture that will power high performing data and analytics programs, including:
- 3 key practices to creating a high performing data and analytics program
- Why data quality matters
- How to measure your brands data maturity level (and why it matters!)
- How to make more data-driven decisions leveraging data governance learnings
- Key misconceptions about data quality
Avec les volumes énormes de données brassés par les entreprises aujourd’hui et la multiplicité des sources de données, comment savoir quelles données sont disponibles pour l’analyse ? Comment puis-je y accéder ? La donnée est-elle de qualité et la plus pertinente ?
Pour répondre à ces questions, une solution : mettre en place une Data Services Marketplace, un lieu unique où utilisateurs métier comme développeurs peuvent rechercher et accéder aux données mises à leur disposition en tant que service. Les bénéfices sont multiples : meilleure agilité, data intégration et quality.
Dans ce webinar, nous vous expliquerons pourquoi et comment, à l’instar de clients comme Anadarko et Guardian Life, votre entreprise peut la mettre en place et en bénéficier.
Les points clés abordés :
- Qu’est-ce qu’une data marketplace. Les bénéfices à la loupe.
- La Data Virtualization comme fondement de la data marketplace: comment elle assure la connectivité à vos sources de données, l’abstraction et la modélisation de vue métier
- Les points d’attention : sécurité et confidentialité, performance et qualité, data gouvernance
- Cas clients : Anadarko (compagnie pétrolière américaine) et Guardian Life (4ème plus grosse mutuelle de santé américaine). Comment ils ont créé leurs data services marketplaces en utilisant la data virtualization
- Démo : Comme dans Google ou Amazon, recherchez, explorez, validez et requêtez les jeux de données disponibles dans votre entreprise, tout en respectant la sécurité
Explore key insights on how data quality can help you achieve your GDPR compliance with confidence, including:
* GDPR readiness: What companies must be prepared for
* Why Data Quality is so critical for GDPR compliance
* How to address data-related GDPR challenges through a practical, structured approach
The shelf life of data is shrinking. A streaming shift is taking place and use cases such as IoT connected cars, real-time fraud detection and predictive maintenance using streaming analytics are becoming commonplace. You too can switch to the fast data lane with Informatica, leveraging Kafka and other big data technologies. So shift gears and change lanes with us while we take you on a journey into the world of streaming data.Read more >