The document discusses delivering data governance with data intelligence software. It provides an overview of data governance challenges in the current digital transformation era where data is dynamic, diverse and distributed. It notes that a lack of data intelligence is costing organizations time and money due to inefficient data search, preparation and protection activities. The document then prescribes using data intelligence software to discover, catalog, profile and understand data relationships in order to answer the key questions about data and infuse trust. It provides examples of how data intelligence software can be applied through roles like data stewards and a three step plan of discover and clean data, organize and empower data stewards, and automate and enable self-service access to trusted data.
Data is everywhere, and delivering trustable data to anyone who needs it has become a challenge. But innovative technologies come to the rescue: through smart semantics, metadata management, auto-profiling, faceted search and collaborative data curation there is a way to establish a Wikipedia like approach for your data. Find out how Talend will help you to operationalize more data faster and increase data usage for everyone with an Enterprise Data Catalog
Business can't wait to turn data into insights, which means they often can't wait for IT. But that increases the risk of bad data and inaccurate results. Learn how IT can engage the business to accelerate data integration, build perfect, trusted, and compliant data; and increase data usage and time-to-insight.
Enacting the data subjects access rights for gdpr with data services and data...Jean-Michel Franco
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
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.
3 Steps to Turning CCPA & Data Privacy into Personalized Customer ExperiencesJean-Michel Franco
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
It’s been almost two years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. This complex but critical practice still has most enterprises grappling to master it for a myriad of reasons.
In this webinar, we’ll examine how Data Governance attitudes and practices continue to evolve and discuss what new research reveals as the most predominant challenges. We’ll delve into technology trends, including how adding certain capabilities will benefit your organization in terms of data asset availability, quality, and usability, including data consumer literacy and confidence.
When you attend this webinar, you will learn about:
• The requirements for a successful and sustainable Data Governance program
• Increasing confidence in data analytics for faster speed to insights
• How to automate data preparation and intelligence and where to start
Data is everywhere, and delivering trustable data to anyone who needs it has become a challenge. But innovative technologies come to the rescue: through smart semantics, metadata management, auto-profiling, faceted search and collaborative data curation there is a way to establish a Wikipedia like approach for your data. Find out how Talend will help you to operationalize more data faster and increase data usage for everyone with an Enterprise Data Catalog
Business can't wait to turn data into insights, which means they often can't wait for IT. But that increases the risk of bad data and inaccurate results. Learn how IT can engage the business to accelerate data integration, build perfect, trusted, and compliant data; and increase data usage and time-to-insight.
Enacting the data subjects access rights for gdpr with data services and data...Jean-Michel Franco
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
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.
3 Steps to Turning CCPA & Data Privacy into Personalized Customer ExperiencesJean-Michel Franco
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
It’s been almost two years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. This complex but critical practice still has most enterprises grappling to master it for a myriad of reasons.
In this webinar, we’ll examine how Data Governance attitudes and practices continue to evolve and discuss what new research reveals as the most predominant challenges. We’ll delve into technology trends, including how adding certain capabilities will benefit your organization in terms of data asset availability, quality, and usability, including data consumer literacy and confidence.
When you attend this webinar, you will learn about:
• The requirements for a successful and sustainable Data Governance program
• Increasing confidence in data analytics for faster speed to insights
• How to automate data preparation and intelligence and where to start
Accelerating Fast Data Strategy with Data VirtualizationDenodo
"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.
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
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.
Enabling a Culture of Self-Service AnalyticsPrecisely
As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using to know if it’s fit for purpose.
To enable a culture of self-service analytics companies must get all of their data into one place where it can be accessed – like an enterprise data marketplace – and ensure its quality so it can be trusted by the data consumers.
View this webinar on-demand to hear from Matt Aslett, Research VP, Data, AI and Analytics, 451 Research and Jennifer Cheplick, Senior Director, Syncsort about how a combination of technology and cultural change can enable enterprises to provide a foundation of data integration and data quality that arms your organization’s data consumers with the functionality to enable self-service analytics.
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Understanding the Data You Have Before Applying a Governance StrategyDATAVERSITY
Data Governance is a challenge in today’s world with massive amounts of data being created, duplicated, and stored. How can a company know they are making the best decisions about their data without truly understanding what they have? In this session, Darryl will walk you through a customer use case and explain the importance of truly knowing your data before applying a governance strategy.
You’ll walk away knowing how to
• Find your most sensitive data, and protect it
• Classify your massive unstructured data repositories, and manage it
• Identify ROT (Redundant/Obsolete/Trivial) and remove it
• Learn from your data to make data driven decisions
Knowing your data puts you in the driver’s seat to make decisions that will allow you to be pro-active against cyber threats, reduce costs from hardware to energy, and even reduce your data footprint.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
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
Slides: Taking an Active Approach to Data GovernanceDATAVERSITY
A Look at How Riot Games Implemented Non-Invasive Data Governance
Riot Games created and runs “League of Legends,” the world’s most-played PC game and most viewed eSport — and is now transforming to become a multi-title publisher. To keep pace with this transformation and support a growing player base of millions, Riot Games is taking a page from Bob Seiner’s book, “Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success” and leveraging the Alation Data Catalog to help guide accurate, well-governed analysis.
Bob Seiner will join Riot Games’ Chris Kudelka, Technical Product Manager, and Michael Leslie, Senior Data Governance Architect, and Alation’s John Wills, VP of Professional Service, for an inside look at Data Governance at one of the world’s leading gaming companies.
Join this webinar to learn:
• How Riot Games is implementing Non-Invasive Data Governance
• How this new approach to Data Governance helps to drive the business
• How the Alation Data Catalog helps Riot Games create the foundation for guiding accurate, well-governed data use
You Can’t Have Best in Class Governance Without Best in Class Data LineageDATAVERSITY
Without a complete and accurate understanding of how data flows throughout the organization, it is extremely difficult to establish the processes and metrics necessary for a successful data governance program. Best-in-class data lineage that provides multi-layered views of the data (cross-system, end-to-end and inner-lineage) plays a critical role in knowledge transfer, issue identification, information on the use of sources/resources, impact analysis, & definition clarity - all extremely necessary for best-in-class data governance.
In this presentation, you'll hear it straight from the horse's mouth as Anilh Rameshwar, Data Architect at Zego, shares exactly how automated data lineage provides his department with unprecedented visibility into their data, which is absolutely critical for the organization's data governance efforts.
DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in data architecture, along with practical commentary and advice from industry expert Donna Burbank.
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Top 3 Hot Data Security And Privacy TechnologiesTyrone Systems
Organizations are transforming with Cloud Modernization, Big
Data, Customer Centricity and Data Governance. The foundation
for these initiatives is critical business data, that allows
organizations to deliver faster, more effective services and
products for their customers.
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...Grid Dynamics
Organizations need to tap into the huge potential of their vast volumes of data, but a use case tactical approach is not going to work. Instead, they need to work in the definition of a data strategy linked to the most relevant goals for the enterprise.
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
Slides: Empowering Data Consumers to Deliver Business ValueDATAVERSITY
Today, the role of Chief Data Officers and their teams has expanded from risk and compliance-based activities to delivering business value through trusted data. With the exponential growth in data and data consumers throughout an organization, ensuring that everyone gets the information that they need — and that it can be relied upon — is no small feat. CDOs need to rely on modern Data Governance leaders to discover where all of the data lives, define the context, measure the quality, ensure privacy, and then democratize data to empower the rest of the organization. Join us for this informative webinar as we highlight the challenges of today’s data leaders, how they can democratize trusted, secure data, and ultimately discover how to deliver business value.
Accelerating Fast Data Strategy with Data VirtualizationDenodo
"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.
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
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.
Enabling a Culture of Self-Service AnalyticsPrecisely
As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using to know if it’s fit for purpose.
To enable a culture of self-service analytics companies must get all of their data into one place where it can be accessed – like an enterprise data marketplace – and ensure its quality so it can be trusted by the data consumers.
View this webinar on-demand to hear from Matt Aslett, Research VP, Data, AI and Analytics, 451 Research and Jennifer Cheplick, Senior Director, Syncsort about how a combination of technology and cultural change can enable enterprises to provide a foundation of data integration and data quality that arms your organization’s data consumers with the functionality to enable self-service analytics.
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Understanding the Data You Have Before Applying a Governance StrategyDATAVERSITY
Data Governance is a challenge in today’s world with massive amounts of data being created, duplicated, and stored. How can a company know they are making the best decisions about their data without truly understanding what they have? In this session, Darryl will walk you through a customer use case and explain the importance of truly knowing your data before applying a governance strategy.
You’ll walk away knowing how to
• Find your most sensitive data, and protect it
• Classify your massive unstructured data repositories, and manage it
• Identify ROT (Redundant/Obsolete/Trivial) and remove it
• Learn from your data to make data driven decisions
Knowing your data puts you in the driver’s seat to make decisions that will allow you to be pro-active against cyber threats, reduce costs from hardware to energy, and even reduce your data footprint.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
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
Slides: Taking an Active Approach to Data GovernanceDATAVERSITY
A Look at How Riot Games Implemented Non-Invasive Data Governance
Riot Games created and runs “League of Legends,” the world’s most-played PC game and most viewed eSport — and is now transforming to become a multi-title publisher. To keep pace with this transformation and support a growing player base of millions, Riot Games is taking a page from Bob Seiner’s book, “Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success” and leveraging the Alation Data Catalog to help guide accurate, well-governed analysis.
Bob Seiner will join Riot Games’ Chris Kudelka, Technical Product Manager, and Michael Leslie, Senior Data Governance Architect, and Alation’s John Wills, VP of Professional Service, for an inside look at Data Governance at one of the world’s leading gaming companies.
Join this webinar to learn:
• How Riot Games is implementing Non-Invasive Data Governance
• How this new approach to Data Governance helps to drive the business
• How the Alation Data Catalog helps Riot Games create the foundation for guiding accurate, well-governed data use
You Can’t Have Best in Class Governance Without Best in Class Data LineageDATAVERSITY
Without a complete and accurate understanding of how data flows throughout the organization, it is extremely difficult to establish the processes and metrics necessary for a successful data governance program. Best-in-class data lineage that provides multi-layered views of the data (cross-system, end-to-end and inner-lineage) plays a critical role in knowledge transfer, issue identification, information on the use of sources/resources, impact analysis, & definition clarity - all extremely necessary for best-in-class data governance.
In this presentation, you'll hear it straight from the horse's mouth as Anilh Rameshwar, Data Architect at Zego, shares exactly how automated data lineage provides his department with unprecedented visibility into their data, which is absolutely critical for the organization's data governance efforts.
DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in data architecture, along with practical commentary and advice from industry expert Donna Burbank.
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Top 3 Hot Data Security And Privacy TechnologiesTyrone Systems
Organizations are transforming with Cloud Modernization, Big
Data, Customer Centricity and Data Governance. The foundation
for these initiatives is critical business data, that allows
organizations to deliver faster, more effective services and
products for their customers.
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...Grid Dynamics
Organizations need to tap into the huge potential of their vast volumes of data, but a use case tactical approach is not going to work. Instead, they need to work in the definition of a data strategy linked to the most relevant goals for the enterprise.
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
Slides: Empowering Data Consumers to Deliver Business ValueDATAVERSITY
Today, the role of Chief Data Officers and their teams has expanded from risk and compliance-based activities to delivering business value through trusted data. With the exponential growth in data and data consumers throughout an organization, ensuring that everyone gets the information that they need — and that it can be relied upon — is no small feat. CDOs need to rely on modern Data Governance leaders to discover where all of the data lives, define the context, measure the quality, ensure privacy, and then democratize data to empower the rest of the organization. Join us for this informative webinar as we highlight the challenges of today’s data leaders, how they can democratize trusted, secure data, and ultimately discover how to deliver business value.
Maximize the Value of Your Data: Neo4j Graph Data PlatformNeo4j
In this 60-minute conversation with IDC, we will highlight the momentum and reasons why a graph data platform is a breakthrough solution for businesses in need of a flexible data model.
Please join Mohit Sagar, Group Managing Director of CIO Network, as he hosts the conversation with Dr. Christopher Lee Marshall, Associate VP at IDC, and Nik Vora, Vice President of APAC at Neo4. During this very exciting discussion, you'll discover the insights and knowledge unlocked with the graph data platform.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
Digital Transformation is a top priority for many organizations, and a successful digital journey requires a strong data foundation. Creating this digital transformation requires a number of core data management capabilities such as MDM, With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Data Virtualization - Enabling Next Generation AnalyticsDenodo
Watch full webinar here: https://goo.gl/3gNMXX
Webinar featuring guest speaker Boris Evelson, Vice President, Principal Analyst at Forrester Research and Lakshmi Randall, Director of Product Marketing, Denodo.
Majority of enterprises today are data-aware. Being data-aware, or even data-driven, however, is not enough. Are your data-driven applications providing contextual and actionable insight? Are your analytics applications driving tangible business outcomes? Are you deriving insights from all the enterprise data? Enter Systems Of Insight (SOI), Forrester's latest analytical framework for insights-driven businesses.
In this webinar you will learn about the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. Specifically the webinar will explore roles data virtualization (aka Data Fabric) plays in modern SOI architectures such as:
• A single virtual catalog / view on all enterprise data sources including data lakes.
• A more agile and flexible virtual enterprise data warehouse.
• A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric).
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
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.
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3aXysas
Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Data Science platforms have become more approachable and user friendly. With all the advancements in the technology space, the Data Scientist is still spending most of the time massaging and manipulating the data into a usable data asset. How can we empower the data scientist? How can we make data more accessible, and foster a data sharing culture?
Join us, and we will show you how Data Virtualization can do just that, with an agile and AI/ML laced data management platform. It can empower your organization, foster a data sharing culture, and simplify the life of the data scientist.
Watch this webinar to learn:
- How data virtualization simplifies the life of the data scientist, by overcoming data access and manipulation hurdles.
- How integrated Denodo Data Science notebook provides for a unified environment
- How Denodo uses AI/ML internally to drive the value of the data and expose insights
- How customers have used Data Virtualization in their Data Science initiatives.
Data Intelligence: come abilitare il valore aziendaleIDC Italy
IDC evidenzia che in media l’80% del tempo che un’azienda dedica ai dati viene speso in attività di gestione e soltanto il 20% in attività analitiche a valore. Grazie alla data intelligence, questa proporzione può essere invertita. Ecco la presentazione che Diego Pandolfi, Research & Consulting Manager di IDC Italia, ha portato all'IDC Data Intelligence Conference 2019 del 18 giugno a Milano
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
• History of Data Management
• Business Drivers for implementation of data governance • Building Data Strategy & Governance Framework
• Data Management Maturity Models
• Data Quality Management
• Metadata and Governance
• Metadata Management
• Data Governance Stakeholder Communication Strategy
Improving Data Literacy Around Data ArchitectureDATAVERSITY
Data Literacy is an increasing concern, as organizations look to become more data-driven. As the rise of the citizen data scientist and self-service data analytics becomes increasingly common, the need for business users to understand core Data Management fundamentals is more important than ever. At the same time, technical roles need a strong foundation in Data Architecture principles and best practices. Join this webinar to understand the key components of Data Literacy, and practical ways to implement a Data Literacy program in your organization.
IDC Retail Insights - What's Possible with a Modern Data Architecture?Hortonworks
This is Greg Girard's presentation from the September 22, 2014 Hortonworks webinar “What’s Possible with a Modern Data Architecture?”. Greg is program director for omni-channel analytics strategies at IDC Retail Insights. He provides targeted, fact-based guidance to retailers for the application of analytics across the enterprise.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...DATAVERSITY
Operational Data Governance is more than a stewardship process for critical Business Assets. As organizations build structure around KPI’s and other critical data, a workflow develops that revolves around the sources and supply chain for that critical data. There can be many aspects to changes and inconsistencies affecting the final results of the supply chain. Inaccurate usage of data can result in audit penalties as well as erroneous report summaries and conclusions.
Is it coming from the correct authoritative source? Has the data been profiled? Has it met it’s threshold?
Gaps in the supply chain from incorrect pathways may lead dead ends or lost sources.
The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
Data Fabric technology helps companies to achieve their maximum efficiency. In this report, you will find about how data fabric is revolutionizing the work culture.
Similar to Deliver Data Governance with a “Yes” (20)
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?
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 ?
Reveal the Intelligence in your Data with Talend Data FabricJean-Michel Franco
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
Découvrir la version WInter 20 de Talend Data Fabric.
Elle inclue un nouveau produit, Data Inventory, ainsi que de nouvelles et puissantes fonctionnalités de qualité des données intelligente et d'IA explicable, capables d’accélérer et de moderniser l’ingénierie de données.
Elle permet de :
- garantir des données fiables instantanément avec Data Inventory
- augmenter considérablement l’efficacité et la productivité avec Pipeline Designer
- automatiser davantage de tâches d’intégration avec l’IA et les API
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.
Delivering Analytics at Scale with a Governed Data LakeJean-Michel Franco
Data privacy is on everyone's mind right now. Regulations such as GDPR, as well as public sentiment, mean that governance and compliance are must-have capabilities for data lakes. Learn how to curate meaningful data from your data lake, accelerate governance and compliance, and enable your organization with searchable, trusted datasets.
Delivering analytics at scale with a governed data lakeJean-Michel Franco
Data privacy is on everyone's mind right now. Regulations such as GDPR, as well as public sentiment, mean that governance and compliance are must-have capabilities for data lakes. Learn how to curate meaningful data from your data lake, accelerate governance and compliance, and enable your organization with searchable, trusted datasets.
pour accompagner les talents, gérer les compétences et assurer la conformité des données pour GDPR
Vos collaborateurs sont au cœur de la réussite de votre entreprise, mais disposez-vous d’informations précises et fiables les concernant ? Sont-elles sécurisées et en conformité avec les réglementations telles que GDPR, tout en étant facilement accessibles pour les prises de décision et activités opérationnelles ?
Lors de ce webinar à la demande, les équipes RH Orange et les consultants d’Orange Consulting partageront leur retour d’expérience dans la mise en œuvre de la vue 360° employés au sein du groupe, la méthode utilisée, les difficultés rencontrées et les résultats obtenus.
Participez à ce webinar à la demande d'une heure pour apprendre comment :
fédérer et réconcilier les 18 sources d'informations RH différents issus de plusieurs systèmes d'information ;
mieux connaitre les salariés pour répondre aux enjeux RH et business des managers de disposer d’une cartographie dynamique en temps réel des données salariés ;
mettre en place des tableaux de bord d’ indicateurs pertinents pour accompagner la réflexion stratégique et les plans d’actions RH par une vision synthétique, actualisé et multicritères des données salariés ;
anticiper la mise en application de la nouvelle règlementation européenne sur les données privées (GDPR).
Etapes Pratiques Pour La Mise En Conformité Au GDPR avec TalendJean-Michel Franco
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.
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
La plateforme d'intégration de données de Talend dispose de nouvelles fonctionnalités de préparation et de gouvernance des données en libre service afin de transformer les data lakes en données qualifiées, propres et utilisables par tous
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 ….
Etablir une collaboration durable entre les équipes informatiques et les méti...Jean-Michel Franco
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...Jean-Michel Franco
Concrétiser les promesses du Big Data avec Hadoop, le Self-Service, les data lakes et le machine learning. Quels cas d'usage, quels retours d'expérience, quelle plate-forme?
Talend Summer 16 (version française) : la Préparation des Données à la Portée...Jean-Michel Franco
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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ABOUT US
Stewart Bond, IDC @StewartLBond
• Research Director of IDC’s Data Integration and Integrity
Software service.
• Delivers industry best practice, market research and analysis
• Author of the research report ”Data Intelligence Software for Data
Governance”
• Sr Product Marketing Director, Data governance
• 25 years of experience in Data Management and BI
• Authored 4 books, and regular publications
• Talend is a next-generation leader in cloud and big data
integration software that helps companies make data a strategic
asset.
Jean-Michel Franco, Talend,
@jmichel_franco
https://www.talend.com/resources/data-intelligence-software-for-data-governance/
21. 2121
Time to value
BUSINESS NEEDS DATA AT SPEED
“Speed is the critical
competitive advantage”
-Reid Hoffman
Time to adapt to change
22. 2222
BUSINESS NEED DATA YOU CAN TRUST
Quality proofed
Governed
DATA
47%
of data has
integrity issues
PEOPLE
81%
time spent looking
for trusted data
ORGANIZATION
+70%
% cost of bad data
increase /year
23. 2323
ORGANIZATIONS ARE FORCED TO MAKE A
CHOICE BETWEEN SPEED AND TRUST
Unscalable, ungoverned Expensive, slow, restrictive
TRUST
Legacy enterprise solutions
SPEED
Hand coding
Point solution
32. 3232
AUTOMATE & ENABLE
ENABLE EVERYONE
WITH CLOUD APPS
LEARN WITH ML
FOR REMEDIATION
<YES/NO>
PUBLISH TRUSTED DATA
WITH API SERVICES
APP
AP
PAPP
AP
P
34. 3434
DATA
INTEGRATION
FROM DATA INTEGRATION TO INTELLIGENCE
• APPLICATION INTEGRATION
• DATA INTEGRATION
• DATA LOADING
Trust
DATA
INTEGRITY
DATA
INTELLIGENCE
• DATA PREPARATION
• DATA STEWARDSHIP
• DATA QUALITY
+
• DATA CATALOGING
• DATA LINEAGE
• METADATA MGMT +
e.g. Stitch, Cloud
Data Integration
e.g. Cloud Data
Management
Platform
Talend
Data Catalog
35. 3535
4 USE CASES FOR DATA GOVERNANCE
Reach a wider audience
Enforce control
Crowdsource knowledge
IT Modernization & Change Mgmt
Governed Analytics
Change analysis & migrations
Establish a single point of Mgmt
Data Auditing
Data Compliance & Privacy
GDPR, PDPA, CCPA,.
BCBS 239, IFRS, IDMP…
ACORD, CDISC…
The Data Marketplace
Self-Service Analytics
Customer 360
Data Monetization
36. 3636
70% Faster,
80% Cheaper
100% compliant
Accelerated time
for analytics by up
to 70%
Cost of integrating
data reduced by
80%
Up to 30%
additional revenue
in Trading &
Generation
PROVIDING SUSTAINABLE ENERGY
WITH A DIGITAL PLATFORM