Delivering Analytics at Scale with a Governed Data Lake

3 Steps to Turning CCPA & Data Privacy into Personalized Customer Experiences

Your company’s success lies in your capacity to keep your customers’ trust while offering them a personalized experience. With the right Data Privacy framework and technology for your data governance project you will maintain compliance and prosper. CCPA isn’t the first privacy regulation to impact virtually every organization that does business in the United States – it’s simply the one starting in 2020. As these regulations continue to expand and change, what if there was a way to turn compliance into your advantage? Attend this session and learn how a strong, carefully considered data governance program can help you stay ahead of new regulations like CCPA, and also enhance customer experiences with trusted data. Learn how a 3-step approach can help you: Ensure regulatory compliance at scale Deliver advanced analytics with trusted data Enable customer personalization for more accurate business insights targeted offers, and behavioral knowledge

Delivering analytics at scale with a governed data lake

Operationalising gdpr compliance with data management

The race is on for GDPR compliance, and now it is time to get hands-on with personal data. Survey highlight that the toughest operational challenges for compliance are related to Data management This presentation shares use cases and concrete experiences on how companies are : - Applying Metadata and Master Data Management to track, reconcile, control and trace personal data - Establishing compliant consent mechanisms - Enacting a privacy control center for the data subject access rights, data portability and rights to be forgotten.

Are Your Data Ready for GDPR? (with MAPR and Talend)

As the deadline for GDPR approaches, it is time to get practical about protecting personal data. We break down the steps for turning a data lake into a data hub with appropriate data management and governance activities: from capturing and reconciling personal data to providing for consent management, data anonymyzation, and the rights of the data subject. A smart approach to GDPR compliance lays a foundation for personalized and profitable customer and employee relations. Join us, as experts from MAPR and Talend show you how to: Diagnose the maturity of your GDPR compliance Set up milestones and priorities to reach compliance Create a foundation to manage personal data through a data lake Master compliance operations - from data inventory to data transfers to individual rights management

Delivering data you can trust for data privacy

70% of employees have access to data they should not…and that’s going to be a problem when GDPR takes affect in May 2018. A strong data governance program ensures that you have the policies, standards, and controls in place to protect data effectively and access it for decision making. Data governance may become one of the most important functions of your data integration architecture when it comes to data agility. Watch this on-demand webinar describing practical steps to data governance: - Map personal data elements to data fields across systems using metadata - Create workflows for data stewardship and manage end user computing - Establish a data lake with native data quality for consent processing - Track and manage data with audit trails and data lineage

Delivering data governance with a Yes

The reliability of data, and your company’s reputation for protecting it, have become essential to doing business in the data age. Modern data governance works at the speed of business, the scale of data, and still has a human touch so you can say “yes” and deliver trusted data. In these presentations , Stewart Bond, Research Director of IDC’s Data Integration and Integrity Software Service, and Talend will highlight this modern approach to data governance. Watch now to learn how to: Put trust and data literacy at the core of your digital transformation Tackle the growing complexity of data management Identify the value and ROI levers that drive success Leverage Data Intelligence Software from discovery to enablement To view this On Demand Webinar, please fill out the form. A Flash-based player will then open. Controls for pause/play, rewind, and sound are available at the bottom of the player.

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New Strategies for More Effective Remote/Branch Office Data Protection

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Managing and protecting data across remote and branch offices (ROBO) is one of the top challenges IT teams face. Low bandwidth, insufficient infrastructure, and little-to-no onsite IT staff make protecting this data a struggle and this problem are further compounded by the number of sites within an organization. In this on-demand webinar, Data Protection Analyst Jason Buffington at Enterprise Strategy Group (ESG) and Druva will provide new research on ROBO trends and how to best address the growing challenges presented by them. Discussion topics: - Trends affecting the ROBO landscape today - How the cloud can ease the burden of data protection at remote locations - Steps to build a centralized, scalable data protection program To watch the on-demand version, please visit: http://bit.ly/ESGROBOSLIDESHARE

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Unlocking Greater Insights with Integrated Data Quality for Collibra

Data is arguably your company’s greatest asset, and a thoughtful data governance strategy, along with robust tools like Collibra Data Governance Center (DGC), is essential to getting the most value from that data. However, even the best data governance programs will falter without data quality. Data governance systems provide a framework for the policies, processes, rules, roles and responsibilities that help you manage your enterprise data. But they don’t give you insight into the characteristics and quality of that data – such as errors, outliers and issues – nor how the data changes over time. During this webinar, we discuss how seamlessly integrating Trillium DQ with Collibra DGC creates a complete data governance solution that delivers rapid insights into the health of your data, ensuring trust and compliance with organizational policies and plans. We demonstrate how data is automatically exchanged between the tools so users can: • Quickly establish the rules needed to support policies • Evaluate their data against those rules on an ongoing basis • Identify problems or improvements with their data quality to take action

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GDPR Scotland 2017

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The General Data Protection Regulation (GDPR) comes into force on 25 May 2018. GDPR is a hugely important piece of legislation designed to replace antiquated data protection rules with a new framework which accounts for recent technological advancements. Fundamentally, GDPR is about protecting people: in this digital age, our world is awash with data and individuals are generating a continuous flow of personal information. This data can hold huge socio-economic value, from individual preference and personalisation, to understanding national health trends and global business insights. But while the digital age has brought forth huge possibilities and benefits, it also carries inherent dangers. Some of the most powerful companies in the world have established a business model predicated on the basis of data capture. Increasingly, services like email, search and social media have become available free of charge, but this often involves a trade-off where user access comes at the cost of relinquishing control of data. As the value of this information has become clear, there has been growing recognition that a new framework is needed to police this delicate balance and restore ownership and control. GDPR will significantly raise the bar of obligation and accountability, ensuring that all organisations which handle personal data adhere to strict regulations around privacy, security and consent. This conference will contextualise the changing regulatory landscape, explain the significance of incoming rules, and define the key areas that organisations need to be aware of. Core conference topics include: Key legal issues and obligations Privacy Impact Assessments Data security and breach notification Privacy by design DPO requirements Practical strategy implementation

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DAMA Webinar: The Data Governance of Personal (PII) Data

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To do effective data governance, analysts should preview the amount of data their organization is collecting and consider if it is all necessary information to run the business or just “nice to have” data. Today companies are collecting a variety of Personally identifiable information (PII), combining it with location information, and using it to both personalize their own services and to sell to advertisers for behavioral marketing. Data brokers are tracking cell phone applications and insurance companies are installing devices to monitor driving habits. At the same time, however, hackers are embedding malicious software in company computers, opening a virtual door for criminals to rifle through an organization’s valuable personal and financial information. This presentation explores: •What company data should be tagged as “sensitive” data? •Who within the company has access to personal data? •Is the company breaking any privacy laws by storing PII data? •Is the data secure from both internal and external hackers? •What happens if there is an external data breech?

Accelerating Fast Data Strategy with Data Virtualization

"Information from the past won't support the insights of the future - businesses need real-time data," said Forrester Analyst Noel Yuhanna. In this presentation, he explains the challenges of latent data faced by business users, the need to accelerate fast data strategy using data virtualization, and the implications of such strategy. This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/a2xNyZ.

Cookie Consent was Only the Beginning of Your Privacy Journey

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¿En qué se parece el Gobierno del Dato a un parque de atracciones?

Watch full webinar here: https://bit.ly/3Ab9gYq Imagina llegar a un parque de atracciones con tu familia y comenzar tu día sin el típico plano que te permitirá planificarte para saber qué espectáculos ver, a qué atracciones ir, donde pueden o no pueden montar los niños… Posiblemente, no podrás sacar el máximo partido a tu día y te habrás perdido muchas cosas. Hay personas que les gusta ir a la aventura e ir descubriendo poco a poco, pero cuando hablamos de negocios, ir a la aventura puede ser fatídico... En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de esa información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos. La virtualización de datos, herramienta estratégica para implementar y optimizar el gobierno del dato, permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos. En este webinar aprenderás a: - Acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información. - Activar en toda la empresa una sola capa de acceso a los datos con medidas de protección. - Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.

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Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...

Watch full webinar here: https://bit.ly/3lSwLyU En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos. La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos. Le invitamos a participar en este webinar para aprender: - Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información. - Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección. - Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.

Perspectives on Ethical Big Data Governance

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Enterprise data governance is a critical, yet challenging, business process, and the rapidly expanding universe of data volumes and types make it a more significant undertaking, particularly for public sector organizations. In this session, attendees will learn how to bring comprehensive data governance to their organizations to ensure data collected and managed is handled and protected as required. Discover practical information on how to use the components and frameworks of the Hadoop stack to support your requirements for data auditing, lineage, metadata management, and policy enforcement, and hear recommendations on how to get started with measuring the progress of ethical big data usage--including what’s legal and what’s right. Bring your questions and join this lively, interactive dialogue.

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GDPR Compliance Made Easy with Data Virtualization

Companies should be gearing up for May 25, 2018 when the General Data Protection Regulation (GDPR) comes into effect. GPDR will affect how businesses that serve the European Union collect, use and transfer data, forcing them to provide specific reasons and need for the personal data they gather and prove their compliance with the principles established by the regulation. The regulation is already creating many challenges for companies, including: • Ensuring secure access to most current data, whether on or off-premise • Consistent security across all data sources • Data access audit • Ability to provide data lineage This webinar aims to demonstrate how data virtualization has surfaced as a straight-forward solution to many of the challenges and questions brought on by the GDPR. It will also include a case study of how Asurion already achieved the desired level of security with data virtualization. Watch the webinar in full to learn more about the benefits of using data virtualization to smoothly comply with the GDPR: http://ow.ly/1kzk30bRw3i

Foundational Strategies for Trust in Big Data Part 3: Data Lineage

For any team working with data it is not enough to understand the data needed for satisfying regulatory, compliance and data governance requirements or supporting new business initiatives. Data integration and governance teams, guided by the Chief Data Officer, need to be able to prove and validate where data sources came from and how they are used in support of critical business initiatives. Did the data come from the right source, and at the right time? As data compliance pressures on companies grow worldwide, these teams must be able to verify the provenance and lineage of data used in all their new projects/initiatives to ensure trust and confidence. In the final part of our webcast series on Foundation Strategies for Trust in Big Data, learn how Syncsort Connect helps to support teams in documenting and meeting the regulatory, compliance and data governance requirements of their critical applications and data by supplying end-to-end data lineage. Additionally, gain insight into how together, Syncsort Connect and Syncsort Trillium can enable regulatory business use cases such as AML or fraud detection.

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What priorities are driving big data implementations? What challenges are companies running into? What are big data implementations being used for? Are people seeing the benefits they expected? Annually, we send out a survey to find out what is on the minds of people either piloting a Hadoop or Spark program, or deep in the thick of it. Almost 200 professionals from a variety of roles — data scientists, CTO’s, developers, architects and IT managers — all weighed in. They let us know what matters to them when it comes to the big data world. View this webinar on-demand to see what we learned.

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Need a proven blueprint to fast-track application development in your healthcare organization? With triple-digit growth, 3,000+ databases and over a petabyte of data, Molina Healthcare needed a way to accelerate application development and drive digital transformation. Success meant slashing time to provision new dev and test environments in half, putting self-service data access in the hands of application teams―and doing it all without taking an eye off data security and HIPAA compliance.

Master Data Management

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Data Ownership: Most companies and organizations have this notion that data governance should be taken care of , by the Information Technology department, because IT owns the system which stores the data. The owner of the data is responsible for providing attributes to the data and answerable to any questions regarding data. The people answerable to these kinds of data are generally the ones involved in defining business rules, data cleaning and consolidation.? Data Stewardship:? Data stewards should be favorably those people who are familiar with the data. It is often seen that there is need to deploy several people, to handle and correct data, whereas a single data steward could have done the same job. Since the data being handled involves organizational level data, it is important that there are governance rules for this process.? If there is some certain rule in the data which causes large data volumes to fail, this rule should be fixed while data cleansing. So it is important to take care of the amount of clean data sent to the stewards, since we are not aware of which rules might trigger what amount of data.? Choice of data stewards is again a difficult selection. Data Security:? Although the master data is data on organization level, but there is some confidentiality level linked to it.? Not every employee has the authorization to view its aspects. Security rules can be applied to the data. The various departments in the organization must set different rules to the data they own. They need to grant permissions to these rules , so that the user can view the data. A large company can have data sourced out of many regions. It is to be ensured that they are responsible to correct only their own data.? Data survivorship: There are some guidelines which are set up by data governance. These rules can often change over hthe time according to new data sources being added. The changes made to the data , are communicated to the organization so that data stewards and users can understand the process. So from a data steward's point of view, it is important to apply security rules to the people who are involved in data handling and correction. This is a result of how data governance and data security can be applied while implementing MDM.? ?

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Europe’s General Data Protection Regulations (GDPR) will go into effect in less than a year (on 25 May 2018). Achieving data compliance is far from simple and businesses must continuously review how they gather, process and protect personal data. From how data is stored and used to how you secure and even erase information from corporate systems, discover how graph technology can address key challenges relating to Data Quality, Governance and Metadata Management.

Why Data Science Projects Fail

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AI can give your organization the competitive advantage it needs, but the alarming truth is that only 1 in 10 data science projects ever make it into production. To be successful, organizations must not only correctly design and implement data science, but also raise the data, numerical, and technology literacy across the business. Attend this webinar to learn what common pitfalls you need to avoid to keep your data science projects from failing. Data Scientist Gaby Lio will engage with the audience about project dos and don’ts to ensure your project success. She will then walk through three client use cases to give examples of successful data projects at each stage in the journey to AI adoption.

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Data matters to all of us, and business expectations are raising, everywhere in the company. But it has not always lived up to its promises. The conditions are in place to generalize its use and adoption, by answering these three questions: - Organization: centralize or decentralize data management? - Architecture: how to establish flexible and sustainable foundations? - Governance: how to manage and encourage use and collaboration?

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La data nous concerne tous, et les attentes sont considérables, partout dans l’entreprise. Mais elle n’a pas toujours tenu ses promesses. Les conditions sont réunies pour généraliser ses usages et son adoption, en répondant à ces trois questions : - Organisation : centraliser ou décentraliser la gestion des données ? - Architecture : comment établir des fondations souples et pérennes ? - Gouvernance : comment encadrer et susciter les usages et collaborations ?

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Discover the Winter'20 release of Talend Data Fabric. Find out about the newly released product, Talend Data Inventory, and the powerful new capabilities and AI that accelerate and modernize data engineering. Find out how to: - Ensure trusted data at first sight with Data Inventory - Increase efficiency and productivity with Pipeline Designer - Automate more integration tasks with AI and APIs

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Are you tired of saying “no” when it comes to data? IDC and Talend share insights into how you can deliver data governance with a “yes”. The reliability of data, and your company’s reputation for protecting it, have become essential to doing business in the data age. Modern data governance works at the speed of business, the scale of data, and still has a human touch so you can say “yes” and deliver trusted data.

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Les données sont partout. Fournir des données fiables à toutes les personnes qui en ont besoin est un véritable défi. Heureusement, des technologies émergeantes sont là pour vous aider. Grâce à des sémantiques intelligentes, la gestion des metadonnées, l'auto-profiling, la recherche par facettes, et l'archivage collaboratif des données, il est désormais possible d'avoir une approche de type Wikipedia pour vos données. Talend peut vous aider à operationaliser plus de données, plus rapidement et à accroître l'utilisation de ces données par tous grâce à un Data Catalog d'entreprise.

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GDPR is more than another regulation to be handled by your back office. As stated by the European Commission, “The primary objective of this new set of rules is to give citizens back control over of their personal data.” And surveys show that European citizens are eager to apply for those new fundamental rights, such as access to information, data portability, and the right to be forgotten. Will you be ready to deliver, or will you be forced to tell your customers that unfortunately, you are not yet ready to respect their rights? Enacting the GDPR’s Data Subject Access Rights (DSAR) requires practical actions. There’s a mandate for an integrated data governance strategy to establish your data inventory, operationalize controls, foster accountability across teams and ensure compliance, and finally unleash personal data to your customers, employees, visitors, and prospects. Only a strong data governance program on top of a modern, collaborative data hub ensures that you have the policies, standards, and controls in place to enforce compliance. This presentations outlines the practical steps to deploy governed data services that: Know your customers and employees with a data inventory Track and trace data using audit trails and data lineage Manage and propagate opt-in consent across customer-facing applications Reconcile and protect your sensitive data in a data hub with automated controls, data stewardship, and data masking Respect the rights for your data subjects with collaborative data management and portals

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Etapes Pratiques Pour La Mise En Conformité Au GDPR avec Talend

70% des employés ont accès à des données qui devraient rester confidentielles et cela posera un problème quand le GDPR entrera en vigueur en mai 2018. Un solide programme de gouvernance des données garantit la mise en place de politiques, normes et contrôles pour protéger efficacement les données et y avoir accès pour faciliter la prise de décision. Une plate forme unifiée de getsion de données permet d'accélérer et d'industrialiser la mise en conformité GDPR en permettant de : • mapper les éléments de données critiques à travers les jeux de données avec les métadonnées ; • favoriser la responsabilisation dans la data stewardship au niveau des flux ; • construire un data lake avec un code natif pour le contrôle de la qualité des données afin de traiter les consentements et les droits des personnes concernées par le traitement des informations à caractère personnel ; • suivre et gérer les données grâce à des pistes d’audit et au data lineage.

Présentation de Talend Winter 2017

Talend winter 2017 overview webinar

Talend Winter 17 enables IT to transform the data lake into qualified, clean data that anyone can use, so everyone can make more informed and faster decisions The presentations covers mostly three key areas how Talend helps you get the most from your data lake. Talend Data Preparation now has Big Data support so anyone can access trusted data in the lake and turn data into insight New Talend Data Stewardship app helps IT and Business to collaborate on data quality problems and guide resolution. It empowers the business to ensure data integrity at the source. 3. And we all know that there is an amazing amount of innovation going on in the market today. Talend enables you to stay on the cutting edge of big data and cloud innovation with the flexibility to leverage pretty much anything out there in the market, such as Spark 2.0, AWS, Salesforce, MapR and more ….

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Les données sont partout et tout le monde en a besoin pour tirer tout le potentiel de la transformation numérique. Seul un accès généralisé aux données en libre-service peut transformer les données en « actifs liquides » pouvant être consommés et exploités par tous. Mais la prolifération de données n’est pas sans risques et remet en cause les approches traditionnelles de modélisation et de gouvernance de la donnée. De nouvelles approches , plus collaboratives et participatives, sont nécessaires. En participant à cette session, vous découvrirez au travers de cas pratiques comment organiser cette gouvernance autour d’une plate-forme moderne de gestion de données, intégrant les concepts de Big Data, de Data Lakes, ou de Self-service.

Big Data : au delà du proof of concept et de l'expérimentation (Matinale busi...

Piloter l'entreprise par ses données (présentation Talend pour la matinale ED...

Talend Summer 16 (version française) : la Préparation des Données à la Portée...

Tous vos collaborateurs ont besoin de données pour prendre des décisions avisées et efficaces, mais les données en accès libre et sans contrôle font courir des risques à l'échelle de l’entreprise. Découvrez les dernières innovations de Talend Summer 16, en particulier : Accès aux données en libre-service ; Utilisation des données sous contrôle du département IT, avec sécurité adaptée à chaque rôle ; Solutions entièrement intégrées dans Talend Data Fabric.

Talend Summer 16 launch présentation: Open Data Preparation for Everyone

Everyone needs data to make smarter decisions. But data unleashed and ungoverned puts the whole enterprise at risk. With the latest Talend platform, you can empower anyone in your organization to put data to work, without risk. Watch this on-presentation to learn about our latest innovations: Self-service data access IT-governed data usage with role-based security Fully integrated with Talend Data Fabric Plus, see what’s new from Talend to boost big data and cloud productivity and expand scalability.

Bi et partage des données financières en libre -service