Every business wants to become data driven – and the pandemic has made it an urgent necessity. But the expectations of the modern enterprise data and the drag coefficient of legacy IT make it difficult. Learn why data mastering is the key to priming the pump of your modern data driven enterprise and the catalyst for broad digital transformation.

Learn how 4x Olympian and hockey hall of famer, Angela Ruggiero, was able to maintain top performance over her extensive career using data. Get inspired with new ways you can use data to stay at the top of your game.

Join our Chief Product Officer, Anthony Deighton for an overview of key product updates. The session will discuss the vision for Product at Tamr, recap major releases over the last 12 months and preview product development plans for the year ahead.

Clean data is driving Analog Devices’ efforts to better serve its customers. Hear how machine learning is providing the semiconductor manufacturer with the curated, complete records it needs to unlock customer insights and become a digital-first business.

This session explores how data leaders can connect digital transformation initiatives to organizational needs, how to make the business case for using new technology and what technical approaches provide WCG with the data it needs to support business initiatives.

Customer data underpins the digital journey that many companies are undertaking. In this session, Avid will share their digital transformation story and touch on topics like why customer data is key to this initiative, how they continually clean and curate this data and what business outcomes organizations can achieve when they have 360-degree customer views.

Most companies have come to the conclusion that the future is cloud. Although it is no longer a question of if, but when, to move – there is a lot to consider. Join this session to get advice from Google on where to start, and the importance of feeding other technologies with good data.

In this session, you’ll get straight talk from Mike Stonebraker on why you need to plan for internal IT to be dramatically restructured, which areas of data mastering are key in the future (spoiler alert: most everything), and how you can establish a data organization with the chops to lead your organization in building a broadly data-driven culture.

Since the coronavirus outbreak, the cascading effects from the economic slowdown are being felt across the globe. From spend analytics to supply chain management, companies are seeking to maximize their data and use it as an asset to make the right business decisions, now.

Standing in the way of this realization is the problem of the 3V’s of data: Volume, Velocity, and Variety. This is the 800-lb gorilla in the corner.

To unleash the latent power of data, companies of all types and sizes need to address the gorilla and find solutions.

Gain unparalleled insights in your data to power customer 360. Learn how you can break down data silos to achieve high quality, consistent customer data in order to improve regulatory operations, lower their risk and enhance customer experience.

Master customer data across direct and indirect channels and manage customer hierarchies, identify cross- and up-sell opportunities and create a single view of each customer.

Join our Chief Product Officer, Anthony Deighton for an overview of key product updates. The session will discuss the vision for Product at Tamr, recap major releases over the last 12 months and preview product development plans for the year ahead.

Clean data is driving Analog Devices’ efforts to better serve its customers. Hear how machine learning is providing the semiconductor manufacturer with the curated, complete records it needs to unlock customer insights and become a digital-first business.

This session explores how data leaders can connect digital transformation initiatives to organizational needs, how to make the business case for using new technology and what technical approaches provide WCG with the data it needs to support business initiatives.

Customer data underpins the digital journey that many companies are undertaking. In this session, Avid will share their digital transformation story and touch on topics like why customer data is key to this initiative, how they continually clean and curate this data and what business outcomes organizations can achieve when they have 360-degree customer views.

Most companies have come to the conclusion that the future is cloud. Although it is no longer a question of if, but when, to move – there is a lot to consider. Join this session to get advice from Google on where to start, and the importance of feeding other technologies with good data.

Every business understands the urgency to scale business insights, build predictive models, and implement better data-driven decision making — all faster and more efficiently than ever before. But what exactly does it take to reach this data-driven holy grail?

Data leaders are under pressure to justify value. Chief Data Officers seeking to build a strong data organization need to be able to prioritize projects, enable resource growth and justify their ‘seat at the table’ based on ROI to the business. However, knowing how to analyze, interpret, and communicate the value of data to the larger organization is a challenge.

Modern technologies and principles from DataOps need to be combined with equally robust business value assessment.

This webinar covers:
– Best practices for how to approach business value
– How to assess the value of DataOps
– How to build a value-based culture

Paul Balas, former Chief Advisor Advanced Analytics at Newmont, discusses new strategies for replacing rules-based master data management (MDM) with modern approaches

• Boosted sales by gaining improved visibility into internal product data and external market data
• Used machine learning to master data at an enterprise scale
• Obtained analytical insights to drive business value

Hess, a global energy company, embarked on a digital transformation project to enable better business decision making with clean data. This requires using machine learning and the cloud to quickly deliver results and scale effectively. Outcomes have included increased data literacy and data democratization for better alignment with the business. Hear why Hess adopted a modern approach to master data management and how this made Hess more agile.

Successful cloud migrations improve the quality of your data as well as move it to a modern cloud infrastructure. Leading migrations with data mastering generates clean, curated and enriched records that set your organization up for analytic success.

Watch this webinar to understand how to leverage data mastering when moving to the cloud, you’ll learn:
– How cloud-native data mastering delivers higher quality, enriched data as a key part of a cloud migration
– Why organizations are using machine learning to handle the heavy lifting around mastering data
– How improving data quality helps align cloud migrations with business goals

The Massachusetts Executive Office of Education (EOE) works with early childcare and education providers and 29 public colleges and universities to create a ‘connected’ experience across the education system. Like many organizations, Mass EOE faced major data challenges creating unique or ‘golden’ customer records. A legacy data management system failed to remove duplicate records from siloed systems, making identifying relationships between customers extremely difficult. This inhibited Mass EOE’s mission to connect students, teachers, and other members with beneficial services and resources.

To solve this challenge, Mass EOE turned to Tamr to create golden records for every student, teacher, and organization in their customer base. This 360-degree view provides the analytic insights required to better serve their customers.

Read about it in this case study.

Companies want to grow their data and analytics programs and become more modern and mature—this is part of their digital transformation strategy. At TDWI, we see organizations accelerating parts of this strategy, such as moving to the cloud for data management and advancing their analytics, as they venture into the “new” normal.

As companies transform, they often need to handle dozens or hundreds of siloed data sources. They are also looking to enrich their data with external sources. According to TDWI research, however, the majority of organizations are either on the fence or dissatisfied with the quality of their data. Data quality is critical to getting the most value from both new and existing data as well as building trust in that data. Mastering large amounts of data in the cloud will be critical for succeeding in digital transformation.

The good news is that there are solutions that can help. For instance, TDWI sees growing interest in both automated and augmented solutions. Here, machine learning and other advanced technologies are embedded into the software to help the system learn various patterns—such as potential anomalies in the data. With human guidance, these tools can help organizations identify data quality issues, identify sensitive data, map data, and provide a host of other functions to help build confidence and trust in large amounts of diverse data.

What does it take to master your data? Join TDWI’s VP of research, Fern Halper, in an interview with Anthony Deighton, Tamr’s chief product officer, about best practices for success.

You will learn about:

• Digital transformation and the cloud
• Data challenges that are propelling cloud migrations
• How cloud-native automated solutions can help
• Best practices for mastering data and utilizing it as an asset

Featuring Randy Bean, CEO and managing partner of consultancy NewVantage Partners and co-author of the recent HBR article, “Are You Asking Too Much of Your Chief Data Officer?”

Since the first chief data officer (CDO) was appointed at Capital One in 2002, the role has been plagued by confusion about its purpose.

Initially, when most CDOs were in large financial institutions, their most common roles were defense-oriented, involving data security, privacy, quality, and regulatory compliance. More recently, companies have also increasingly expected CDOs to be offense-oriented, focused on revenue, marketing, customer service, and better decision making. But most organizations do not clearly define the role of their CDO and expect far too much from this position.

So, what is the purpose of a company’s chief data officer?

Randy Bean will discuss the purpose and jobs of CDOs. He will share insights into:

• The increase in the prevalence of the CDO role
• Confusion over the responsibilities of CDOs
• The seven distinct jobs of CDOs, including both offense- and defense-oriented jobs – like chief analytics officer, data entrepreneur, data governor, and more

If your organization has a chief data officer or is contemplating establishing this position, watch this webinar to learn how to best structure this role to meet all of your organization’s essential data-related needs.

Australia-based intelia shares effective data pipeline strategies to get your data “ready to master” and why organizations are turning to Google Cloud to manage their data transformation. Hear best practices in sourcing, transforming, and security multiple diverse data sets into a Google Cloud BigQuery staging area to supercharge your analytics.

Creating cloud-native data mastering solutions that scale. Hear from Anthony Deighton, Chief Product Officer of Tamr, on our product innovations from this past year that accelerate business outcomes and the future of data mastering from Tamr.

Digital transformation is an urgent competitive necessity. What does it take to reach total digital transformation? The first step is to manage data as an asset.

Tamr’s CEO, Andy Palmer, kicks off DataMasters Summit with a vision: a world where people in large organizations are empowered to deliver business value with mastered enterprise data @ scale across silos.

Learn why customers are turning to Tamr and Amazon Web Services to master data at scale. Topics this session will cover include the cost saving generated by leveraging Tamr’s cloud-native capabilities, how Tamr works with the various data services of Amazon Web Services, and what customer should know about migrating to Amazon Web Services from on-premise systems.

Data warehouses have transformed the data management ecosystem. But what else is needed to ensure that data is accessible and optimized for business outcomes? Hear from George Fraser, CEO of Fivetran, and Andy Palmer, CEO of Tamr, about modern data movement and data mastering capabilities that ensure data warehouses have enterprise-wide data assets that are analytics-ready.

In this fireside chat, Tamr Chief Product Officer Anthony Deighton and Pankaj Dugar, vice president of product partnerships at Databricks, share how the cloud offers the scalability, favorable total cost of ownership, and elasticity organizations need to better leverage their data. You’ll also learn how Tamr fits with Databricks’ lakehouse approach to data management.

The era of mobile, cloud and IoT shifts the way enterprises deal with data, requiring organizations to handle data at scale, eliminating silos, and using it for better business outcomes. In their open conversation Rich Miner, investment partner on the GV team and co-founder of Android, Inc and Andy Palmer, CEO and Co-Founder of Tamr will discuss how the rapid developments in the mobile and IoT rapidly transform the way data is managed by organizations. Rich and Andy will discuss the benefits and challenges in a world that is rapidly transformed.

DataOps is an emerging set of practices, organizational structures, and technologies for building and automating data pipelines to enable governments to make data-driven decisions quickly. Mark Marinelli, Head of Customer and Partner Enablement at Tamr, shares the key components needed to transform data initiatives.

Leverage human intelligence for training the model. Receive trusted results, delivered quickly and at large scale

As a business leader, setting objectives to improve the quality of data in your organization is critical. But, being too ambitious could hinder your ability to achieve quick wins and gain support from key stakeholders. To overcome this, data leaders need to avoid ‘boiling the data lake’, a phrase that describes taking the impossible task of transforming your organization’s data management processes overnight. Instead, leaders are encouraged to focus on a specific area and follow the DataOps methodology to incrementally change the processes, technology and people’s behavior within the organization. Marc Alvarez, has applied this ‘entrepreneurial’ approach to data management as Vice President of Data Management and Operations at Thomson Reuters. This session will cover why business leaders should treat data less like an IT project and more like a business asset.

Best practices for modern DataOps in life sciences — fire side chat

Learn why customers are turning to Tamr and Google Cloud to master data at scale. Topics this session will cover include the cost saving generated by leveraging Tamr’s cloud-native capabilities, how Tamr works with Google’s data services, and what customer should know about migrating to Google Cloud from on-premise systems.

Gaining a holistic view of your organization’s customers across touchpoints is essential to maintain a comprehensive, up-to-date view of consumers. But, many organizations struggle when consolidating internal data sources (e.g. CRM systems) and connecting structured and unstructured external data sources. This session will demonstrate how organizations like Toyota, Johnson & Johnson and Staples master their customer data at scale to improve sales and marketing efforts which drives increased customer satisfaction and retention.

Learn why customers are turning to Tamr and Microsoft Azure to master data at scale. Topics this session will cover include the cost saving generated by leveraging Tamr’s cloud-native capabilities, how Tamr works with Azure’s data services, and what customer should know about migrating to Microsoft Azure from on-premise systems.

The U.S. government developed the 2020 Action Plan which establishes a solid foundation to support agencies in the implementation of the government’s data strategy over the next decade. Panelists will start a dialog on the tools and cultural changes that need to be in place in order to support agencies to better leverage their data.

Join this panel to hear from the the former CTO of the Obama administration, the former CIO of Navy – Medicine and tech and government innovation center panelists from Dcode as they gather to debate how agencies should find and use the best tools that ultimately enable them to meet mission success.

As the proliferation of imagery data and mapping information grows across the federal and
commercial markets, there is a growing need to consolidate, catalog and curate this data from a variety of sources. Hundreds of data sources across GPS, social media, satellite imagery and
other integration points can measure into hundreds of millions of records, perhaps billions.
Conflation of geospatial data is necessary to ensure that all data sources (both internal and
external) are grouped to provide the most complete information about points and entities of
interest.

Maxar’s EVP of Global Field Operations, Tony Frazier and Tamr’s CEO, Andy Palmer will address:
Best practices for geospatial analysts to utilize machine learning coupled with human expertise to save time and improve mission effectiveness
Why cloud native capabilities are crucial for extending information sharing and ingestion and importance of grouping and cleaning data prior to visualization
How analysts can get started

AI and ML are enabling a new paradigm for deploying truly transformational data projects. By leveraging voluminous real-time information and new algorithms, there is a promise of better and more efficient decision making and processes. Join this session, led by two data titans, DataRobot’s CEO, Jeremy Achin and Tamr’s CEO, Andy Palmer. Together they will discuss why AI and ML should have a front row seat in your next data project and what are the most critical best practices to establish the right technology, people and processes to drive project and mission success.

Live product demonstration!

Gain unparalleled insights in your data to power customer 360. Learn how you can break down data silos to achieve high quality, consistent customer data in order to improve regulatory operations, lower their risk and enhance customer experience.

Master customer data to support up-sells and cross-sells by creating a single view of each customer, including transactions, interactions, and products.

Gain unparalleled insights in your data to power customer 360. Learn how you can break down data silos to achieve high quality, consistent customer data in order to improve regulatory operations, lower their risk and enhance customer experience.

Master customer data across direct and indirect channels and manage customer hierarchies, identify cross- and up-sell opportunities and create a single view of each customer.

Gain unparalleled insights in your data to power customer 360. Learn how you can break down data silos to achieve high quality, consistent customer data in order to improve regulatory operations, lower their risk and enhance customer experience.

Master customer data across direct and indirect channels and manage customer hierarchies, identify cross- and up-sell opportunities, drive revenue and operational efficiencies.

Gain unparalleled insights in your wells data. Learn how you can break down data silos to achieve high quality, consistent wells data in order to improve operations, lower their risk and enhance user experience.

Gain unparalleled insights in your data to power customer 360. Learn how you can break down data silos to achieve high quality, consistent customer data in order to improve regulatory operations, lower their risk and enhance customer experience.

Master customer data to support up-sells and cross-sells by creating a single view of each customer, including transactions, interactions, and products.

Gain unparalleled insights in your data to power customer 360. Learn how you can break down data silos to achieve high quality, consistent customer data in order to improve regulatory operations, lower their risk and enhance customer experience.

Master customer data across direct and indirect channels and manage customer hierarchies, identify cross- and up-sell opportunities and create a single view of each customer.

Gain unparalleled insights in your data to power customer 360. Learn how you can break down data silos to achieve high quality, consistent customer data in order to improve regulatory operations, lower their risk and enhance customer experience.

Master customer data across direct and indirect channels and manage customer hierarchies, identify cross- and up-sell opportunities, drive revenue and operational efficiencies.

Gain unparalleled insights in your wells data. Learn how you can break down data silos to achieve high quality, consistent wells data in order to improve operations, lower their risk and enhance user experience.

Join our Chief Product Officer, Anthony Deighton for an overview of key product updates. The session will discuss the vision for Product at Tamr, recap major releases over the last 12 months and preview product development plans for the year ahead.

Featuring an inside look at the technology of prominent industry vendors, Data Demo Day is a virtual trade show for data management and analytics. Watch to see the latest data solutions from Tamr.

On-demand: Customer Data Mastering

15 minute demo of how Tamr tackles disparate, inconsistent data to empower organizations with a mastered, 360 view of customers to drive business insights.

The demo covers:

• How mastered data impacts operational source systems such as Salesforce
• How to master data in Tamr using machine learning
• How mastered data drives analytics for business insights

SCHEDULE A MEETING

Gain unparalleled insights in your wells data. Learn how you can break down data silos to achieve high quality, consistent wells data in order to improve operations, lower their risk and enhance user experience.

• Strategies to provide a foundation for near real-time geospatial information clarity for your mission
• Proven tactics to improve the time-to-insights of location patterns and activities to ensure better decision-making
• How to utilize machine learning coupled with human expertise to save time and improve mission effectiveness.

The U.S. government developed the 2020 Action Plan which establishes a solid foundation to support agencies in the implementation of the government’s data strategy over the next decade. Panelists will start a dialog on the tools and cultural changes that need to be in place in order to support agencies to better leverage their data.

Join this panel to hear from the the former CTO of the Obama administration, the former CIO of Navy – Medicine and tech and government innovation center panelists from Dcode as they gather to debate how agencies should find and use the best tools that ultimately enable them to meet mission success.

As the proliferation of imagery data and mapping information grows across the federal and
commercial markets, there is a growing need to consolidate, catalog and curate this data from a variety of sources. Hundreds of data sources across GPS, social media, satellite imagery and
other integration points can measure into hundreds of millions of records, perhaps billions.
Conflation of geospatial data is necessary to ensure that all data sources (both internal and
external) are grouped to provide the most complete information about points and entities of
interest.

Maxar’s EVP of Global Field Operations, Tony Frazier and Tamr’s CEO, Andy Palmer will address:
Best practices for geospatial analysts to utilize machine learning coupled with human expertise to save time and improve mission effectiveness
Why cloud native capabilities are crucial for extending information sharing and ingestion and importance of grouping and cleaning data prior to visualization
How analysts can get started

AI and ML are enabling a new paradigm for deploying truly transformational data projects. By leveraging voluminous real-time information and new algorithms, there is a promise of better and more efficient decision making and processes. Join this session, led by two data titans, DataRobot’s CEO, Jeremy Achin and Tamr’s CEO, Andy Palmer. Together they will discuss why AI and ML should have a front row seat in your next data project and what are the most critical best practices to establish the right technology, people and processes to drive project and mission success.

Gain unparalleled insights in your data to power customer 360. Learn how you can break down data silos to achieve high quality, consistent customer data in order to improve regulatory operations, lower their risk and enhance customer experience.

Master customer data to support up-sells and cross-sells by creating a single view of each customer, including transactions, interactions, and products.

In the incredibly competitive insurance industry, providing exceptional customer service is the key element to standing out.

Tune in to hear why Transamerica is taking a data-first approach to customer service.

From providing stellar customer service to complying with regulations, 360-degree customer views are a must for banks. Oftentimes, financial institutions struggle with creating these accurate views. Data silos and traditional approaches to master data management lead to limited customer views, slowing lending decisions, hindering marketing efforts and impending effort to meet KYC requirements.

But quickly and efficiently developing up-to-date customer records is possible. Banks are using machine learning to create unique profiles of every customer, paving the way for regulatory compliance and reporting efficiency. By mastering customer data, financial institutions can make more informed credit decisions, approve loans faster loan approval and readily identify cross-sell opportunities.

Leveraging this machine learning in a cloud-native environment further empowers the banks by providing them with the infrastructure to master customer data at scale.

Data leaders are under pressure to justify value. Chief Data Officers seeking to build a strong data organization need to be able to prioritize projects, enable resource growth and justify their ‘seat at the table’ based on ROI to the business. However, knowing how to analyze, interpret, and communicate the value of data to the larger organization is a challenge.

Modern technologies and principles from DataOps need to be combined with equally robust business value assessment.

This webinar covers:
– Best practices for how to approach business value
– How to assess the value of DataOps
– How to build a value-based culture

Successful cloud migrations improve the quality of your data as well as move it to a modern cloud infrastructure. Leading migrations with data mastering generates clean, curated and enriched records that set your organization up for analytic success.

Watch this webinar to understand how to leverage data mastering when moving to the cloud, you’ll learn:
– How cloud-native data mastering delivers higher quality, enriched data as a key part of a cloud migration
– Why organizations are using machine learning to handle the heavy lifting around mastering data
– How improving data quality helps align cloud migrations with business goals

Watch a panel discussion and Q&A featuring Nick Hall, former lead for the Analytics Center of Excellence at Barclays. Andy Palmer, Co-Founder and CEO at Tamr, hosted this session to discuss how Nick Hall built high-performing analytics teams, unlocked value from customer data, and created new growth strategies that leveraged data as a strategic asset for the bank.

Jonathan Holman, Santander UK head of digital transformation, and Mark Wilson, senior manager at Accenture, will discuss the role data management plays in digital transformation projects at financial services organizations. You’ll learn why mastering customer data was a key part of Santander UK’s digital transformation initiative and what Accenture sees as the stumbling blocks that prevent financial services institutions from leveraging data for digital transformation.

The sun is setting on the “old ways” of managing data at modern financial institutions. Spurred on by new regulation, intense competition, and the scale of modern data challenge — mapping and managing information principally based on rules is on the way out. In its place, the largest financial organizations are turning to machine learning to more precisely manage their complex and diverse data ecosystems.

Hear from two industry experts driving this change today, Thomas Pologruto, Chief Data Architect & CTO of Liquid Markets and Data Science at Blackstone and Daniel Waldner, Principal Strategist, Financial Services for Traction on Demand (formerly Director of Customer Data at Scotiabank).

Gain unparalleled insights in your data to power customer 360. Learn how you can break down data silos to achieve high quality, consistent customer data in order to improve regulatory operations, lower their risk and enhance customer experience.

Master customer data across direct and indirect channels and manage customer hierarchies, identify cross- and up-sell opportunities, drive revenue and operational efficiencies.

Every business wants to become data driven – and the pandemic has made it an urgent necessity. But the expectations of the modern enterprise data and the drag coefficient of legacy IT make it difficult. Learn why data mastering is the key to priming the pump of your modern data driven enterprise and the catalyst for broad digital transformation.

Learn how 4x Olympian and hockey hall of famer, Angela Ruggiero, was able to maintain top performance over her extensive career using data. Get inspired with new ways you can use data to stay at the top of your game.

In this webinar, you’ll hear Julia Fadzeyeva, Senior Consultant at Forrester, and Louise Baldwin, Solutions Director at Tamr, discuss the benefits of moving to a modern MDM solution and the impact of mastered customer data on business outcomes.

This talk will explain why most enterprises “dent their pick” on data mastering projects. The reasons range from choosing the wrong tools to underestimating the dirtyness of enterprise data to trying to “boil the ocean”. The talk will be a collection of issues which you can avoid and will increase your chances of data mastering success.

Much research has been conducted on data cleansing and data curation. This research and the corresponding industry practices have been helpful to support data analytics and to deliver higher-quality data for decision making. In the era of big data, however, it is also increasingly critical to develop automatic data washing systems, much like washing machines for cleaning dirty clothes, to support a wide range of tasks demanding data that are accurate, timely, consistent, complete, and credible. This panel will present and discuss different kinds of “Data Washing machines” currently being offered in the industry.

Creative Artists Agency, or CAA, is widely known in the entertainment and sports industry as a talent agency that excels at building and maintaining relationships. In this panel discussion, CAA’s Head of Data, André Vargas, and Michael Stonebraker offer two unique perspectives on how automation can break the bad data problems that stymies analytic outcomes.

Like many organizations, siloed data, incomplete records and duplicate records prevented CAA from fully leveraging its data in business decisions. Vargas shares his experience leading the efforts to innovate how the CAA uses mastered customer data to draw new business insights.

Stonebraker, a co-inventor of the INGRES relational database system, Turing Award winner and MIT adjunct professor, provides an academic look at why automation can deliver the clean data sets businesses require. He also explores why master data management approaches that use rules struggle to address data quality issues.

The session is moderated by Tamr’s Chief Product Officer Anthony Deighton.

• Boosted sales by gaining improved visibility into internal product data and external market data
• Used machine learning to master data at an enterprise scale
• Obtained analytical insights to drive business value

Featuring Randy Bean, CEO and managing partner of consultancy NewVantage Partners and co-author of the recent HBR article, “Are You Asking Too Much of Your Chief Data Officer?”

Since the first chief data officer (CDO) was appointed at Capital One in 2002, the role has been plagued by confusion about its purpose.

Initially, when most CDOs were in large financial institutions, their most common roles were defense-oriented, involving data security, privacy, quality, and regulatory compliance. More recently, companies have also increasingly expected CDOs to be offense-oriented, focused on revenue, marketing, customer service, and better decision making. But most organizations do not clearly define the role of their CDO and expect far too much from this position.

So, what is the purpose of a company’s chief data officer?

Randy Bean will discuss the purpose and jobs of CDOs. He will share insights into:

• The increase in the prevalence of the CDO role
• Confusion over the responsibilities of CDOs
• The seven distinct jobs of CDOs, including both offense- and defense-oriented jobs – like chief analytics officer, data entrepreneur, data governor, and more

If your organization has a chief data officer or is contemplating establishing this position, watch this webinar to learn how to best structure this role to meet all of your organization’s essential data-related needs.

Creating cloud-native data mastering solutions that scale. Hear from Anthony Deighton, Chief Product Officer of Tamr, on our product innovations from this past year that accelerate business outcomes and the future of data mastering from Tamr.

Digital transformation is an urgent competitive necessity. What does it take to reach total digital transformation? The first step is to manage data as an asset.

Tamr’s CEO, Andy Palmer, kicks off DataMasters Summit with a vision: a world where people in large organizations are empowered to deliver business value with mastered enterprise data @ scale across silos.

CDOs and data experts share their perspectives about how to deal with uncertainty and change within a data organization and how they used data to lead change in their organizations. This panel includes data leaders from KeyBank and Poshmark.

Today’s data challenges need new solutions. MDM needs machine learning. A.M. Turing award winner Michael Stonebraker offers a thought-provoking session on the next generation of MDM and why human-guided machine learning is the critical advancement in big data that unlocks data to drive analytic insights.

Hear first-hand why data mastering at scale is critical to achieving their businesses goals, and how they are proving to the business the truth behind the phrase: data as an asset.

Join this roundtable discussion led by Anthony Deighton, Tamr’s Chief Product Officer, with SK Group’s chief data officer, Young Kim, and Credit Suisse’s, Sarah Gadd to learn more about why Tamr customers value data mastering at scale and what it allows them to accomplish for the business.

Join TDWI’s VP of research, Fern Halper, in a roundtable discussion with Tamr CEO Andy Palmer and Google Cloud director of product management Evren Eryurek about best practices for cleansing, mastering, governing, and leveraging cloud data.

You will learn about:

• Data challenges in the cloud
• Best practices for data quality in the cloud
• Best practices for mastering data and utilizing it as an asset
• Frameworks for cloud data governance

Join TDWI’s senior research director James Kobielus on this webinar to explore how enterprises are boosting retention, up-sell, personalization, and other monetization outcomes with machine learning-driven approaches to delivering customer insights. He will discuss how ML can be leveraged to:

• Discover the best available customer data from a wide range of internal and external sources
• Reduce the cost of consolidating, transforming, cleansing, and enriching customer data
• Deliver relevant, curated data-driven insights into every customer decision scenario

Join our Chief Product Officer, Anthony Deighton for an overview of key product updates. The session will discuss the vision for Product at Tamr, recap major releases over the last 12 months and preview product development plans for the year ahead.

Customer data underpins the digital journey that many companies are undertaking. In this session, Avid will share their digital transformation story and touch on topics like why customer data is key to this initiative, how they continually clean and curate this data and what business outcomes organizations can achieve when they have 360-degree customer views.

In this session, you’ll get straight talk from Mike Stonebraker on why you need to plan for internal IT to be dramatically restructured, which areas of data mastering are key in the future (spoiler alert: most everything), and how you can establish a data organization with the chops to lead your organization in building a broadly data-driven culture.

Every business understands the urgency to scale business insights, build predictive models, and implement better data-driven decision making — all faster and more efficiently than ever before. But what exactly does it take to reach this data-driven holy grail?

In this webinar, you’ll hear Julia Fadzeyeva, Senior Consultant at Forrester, and Louise Baldwin, Solutions Director at Tamr, discuss the benefits of moving to a modern MDM solution and the impact of mastered customer data on business outcomes.

This talk will explain why most enterprises “dent their pick” on data mastering projects. The reasons range from choosing the wrong tools to underestimating the dirtyness of enterprise data to trying to “boil the ocean”. The talk will be a collection of issues which you can avoid and will increase your chances of data mastering success.

Much research has been conducted on data cleansing and data curation. This research and the corresponding industry practices have been helpful to support data analytics and to deliver higher-quality data for decision making. In the era of big data, however, it is also increasingly critical to develop automatic data washing systems, much like washing machines for cleaning dirty clothes, to support a wide range of tasks demanding data that are accurate, timely, consistent, complete, and credible. This panel will present and discuss different kinds of “Data Washing machines” currently being offered in the industry.

Creative Artists Agency, or CAA, is widely known in the entertainment and sports industry as a talent agency that excels at building and maintaining relationships. In this panel discussion, CAA’s Head of Data, André Vargas, and Michael Stonebraker offer two unique perspectives on how automation can break the bad data problems that stymies analytic outcomes.

Like many organizations, siloed data, incomplete records and duplicate records prevented CAA from fully leveraging its data in business decisions. Vargas shares his experience leading the efforts to innovate how the CAA uses mastered customer data to draw new business insights.

Stonebraker, a co-inventor of the INGRES relational database system, Turing Award winner and MIT adjunct professor, provides an academic look at why automation can deliver the clean data sets businesses require. He also explores why master data management approaches that use rules struggle to address data quality issues.

The session is moderated by Tamr’s Chief Product Officer Anthony Deighton.

Paul Balas, former Chief Advisor Advanced Analytics at Newmont, discusses new strategies for replacing rules-based master data management (MDM) with modern approaches

• Boosted sales by gaining improved visibility into internal product data and external market data
• Used machine learning to master data at an enterprise scale
• Obtained analytical insights to drive business value

Hess, a global energy company, embarked on a digital transformation project to enable better business decision making with clean data. This requires using machine learning and the cloud to quickly deliver results and scale effectively. Outcomes have included increased data literacy and data democratization for better alignment with the business. Hear why Hess adopted a modern approach to master data management and how this made Hess more agile.

Featuring Randy Bean, CEO and managing partner of consultancy NewVantage Partners and co-author of the recent HBR article, “Are You Asking Too Much of Your Chief Data Officer?”

Since the first chief data officer (CDO) was appointed at Capital One in 2002, the role has been plagued by confusion about its purpose.

Initially, when most CDOs were in large financial institutions, their most common roles were defense-oriented, involving data security, privacy, quality, and regulatory compliance. More recently, companies have also increasingly expected CDOs to be offense-oriented, focused on revenue, marketing, customer service, and better decision making. But most organizations do not clearly define the role of their CDO and expect far too much from this position.

So, what is the purpose of a company’s chief data officer?

Randy Bean will discuss the purpose and jobs of CDOs. He will share insights into:

• The increase in the prevalence of the CDO role
• Confusion over the responsibilities of CDOs
• The seven distinct jobs of CDOs, including both offense- and defense-oriented jobs – like chief analytics officer, data entrepreneur, data governor, and more

If your organization has a chief data officer or is contemplating establishing this position, watch this webinar to learn how to best structure this role to meet all of your organization’s essential data-related needs.

Watch a panel discussion and Q&A featuring Nick Hall, former lead for the Analytics Center of Excellence at Barclays. Andy Palmer, Co-Founder and CEO at Tamr, hosted this session to discuss how Nick Hall built high-performing analytics teams, unlocked value from customer data, and created new growth strategies that leveraged data as a strategic asset for the bank.

Creating cloud-native data mastering solutions that scale. Hear from Anthony Deighton, Chief Product Officer of Tamr, on our product innovations from this past year that accelerate business outcomes and the future of data mastering from Tamr.

Digital transformation is an urgent competitive necessity. What does it take to reach total digital transformation? The first step is to manage data as an asset.

Tamr’s CEO, Andy Palmer, kicks off DataMasters Summit with a vision: a world where people in large organizations are empowered to deliver business value with mastered enterprise data @ scale across silos.

When building successful companies, there are generally three elements to this success: great people, streamlined processes, and key core and integrated technology. Salema Rice, CDO at Geometric Results, and her team are focused on answering the question: How to have the right team and processes to win our data challenges?The answer is simple, it’s in the data.

By delivering better hires to companies through innovative data analysis, companies can ensure future success. Coupled with the right processes and tech stack – an organization can turbo-charge its data and analytics outcomes. Join Andy Palmer, Tamr’s CEO, and Salema Rice as they dive into the people part of data.

Attendees will learn:
The key elements for building effective data teams
How agile methodology plays a role in modern data organizations
How the combination of people, processes, and technology accelerates outcomes

Data is an asset to fight the spread of COVID19. Data also needs to be clean and mastered for accurate reporting. Paul Balas embarked on a project to master COVID19 data using Tamr for the data mastering part of the project. Paul will share his work and his findings in this session.

CDOs and data experts share their perspectives about how to deal with uncertainty and change within a data organization and how they used data to lead change in their organizations. This panel includes data leaders from KeyBank and Poshmark.

Information Security is an increasingly growing data problem. To be able to assess the security posture of organizations, one needs to process and assess massive amounts of structured and unstructured data, sourced from external resources, such as threat intelligence, and from internal IT systems. In this open conversation, Christopher Ahlberg, CEO and Co-founder of Recorded Future and Andy Palmer, CEO and Co-founder of Tamr will discuss the challenges of handling security data at scale and how to overcome them.

Today’s data challenges need new solutions. MDM needs machine learning. A.M. Turing award winner Michael Stonebraker offers a thought-provoking session on the next generation of MDM and why human-guided machine learning is the critical advancement in big data that unlocks data to drive analytic insights.

We’re hosting live Q&A with Michael Stonebraker, who was awarded the 2014 A.M. Turing Award (known as the “Nobel Prize of computing”).

Stonebraker will host an unfiltered live Q&A session with Summit attendees — topics he’ll cover is up to the audience. Join us live and ask Stonebraker your questions .

Hear first-hand why data mastering at scale is critical to achieving their businesses goals, and how they are proving to the business the truth behind the phrase: data as an asset.

Join this roundtable discussion led by Anthony Deighton, Tamr’s Chief Product Officer, with SK Group’s chief data officer, Young Kim, and Credit Suisse’s, Sarah Gadd to learn more about why Tamr customers value data mastering at scale and what it allows them to accomplish for the business.

Jonathan Holman, Santander UK head of digital transformation, and Mark Wilson, senior manager at Accenture, will discuss the role data management plays in digital transformation projects at financial services organizations. You’ll learn why mastering customer data was a key part of Santander UK’s digital transformation initiative and what Accenture sees as the stumbling blocks that prevent financial services institutions from leveraging data for digital transformation.

The sun is setting on the “old ways” of managing data at modern financial institutions. Spurred on by new regulation, intense competition, and the scale of modern data challenge — mapping and managing information principally based on rules is on the way out. In its place, the largest financial organizations are turning to machine learning to more precisely manage their complex and diverse data ecosystems.

Hear from two industry experts driving this change today, Thomas Pologruto, Chief Data Architect & CTO of Liquid Markets and Data Science at Blackstone and Daniel Waldner, Principal Strategist, Financial Services for Traction on Demand (formerly Director of Customer Data at Scotiabank).

This session explores how data leaders can connect digital transformation initiatives to organizational needs, how to make the business case for using new technology and what technical approaches provide WCG with the data it needs to support business initiatives.

Best practices for modern DataOps in life sciences — fire side chat

Most companies have come to the conclusion that the future is cloud. Although it is no longer a question of if, but when, to move – there is a lot to consider. Join this session to get advice from Google on where to start, and the importance of feeding other technologies with good data.

Every business understands the urgency to scale business insights, build predictive models, and implement better data-driven decision making — all faster and more efficiently than ever before. But what exactly does it take to reach this data-driven holy grail?

Paul Balas, former Chief Advisor Advanced Analytics at Newmont, discusses new strategies for replacing rules-based master data management (MDM) with modern approaches

Hess, a global energy company, embarked on a digital transformation project to enable better business decision making with clean data. This requires using machine learning and the cloud to quickly deliver results and scale effectively. Outcomes have included increased data literacy and data democratization for better alignment with the business. Hear why Hess adopted a modern approach to master data management and how this made Hess more agile.

Successful cloud migrations improve the quality of your data as well as move it to a modern cloud infrastructure. Leading migrations with data mastering generates clean, curated and enriched records that set your organization up for analytic success.

Watch this webinar to understand how to leverage data mastering when moving to the cloud, you’ll learn:
– How cloud-native data mastering delivers higher quality, enriched data as a key part of a cloud migration
– Why organizations are using machine learning to handle the heavy lifting around mastering data
– How improving data quality helps align cloud migrations with business goals

Australia-based intelia shares effective data pipeline strategies to get your data “ready to master” and why organizations are turning to Google Cloud to manage their data transformation. Hear best practices in sourcing, transforming, and security multiple diverse data sets into a Google Cloud BigQuery staging area to supercharge your analytics.

Creating cloud-native data mastering solutions that scale. Hear from Anthony Deighton, Chief Product Officer of Tamr, on our product innovations from this past year that accelerate business outcomes and the future of data mastering from Tamr.

Digital transformation is an urgent competitive necessity. What does it take to reach total digital transformation? The first step is to manage data as an asset.

Tamr’s CEO, Andy Palmer, kicks off DataMasters Summit with a vision: a world where people in large organizations are empowered to deliver business value with mastered enterprise data @ scale across silos.

Data is an asset to fight the spread of COVID19. Data also needs to be clean and mastered for accurate reporting. Paul Balas embarked on a project to master COVID19 data using Tamr for the data mastering part of the project. Paul will share his work and his findings in this session.

Learn why customers are turning to Tamr and Amazon Web Services to master data at scale. Topics this session will cover include the cost saving generated by leveraging Tamr’s cloud-native capabilities, how Tamr works with the various data services of Amazon Web Services, and what customer should know about migrating to Amazon Web Services from on-premise systems.

Data warehouses have transformed the data management ecosystem. But what else is needed to ensure that data is accessible and optimized for business outcomes? Hear from George Fraser, CEO of Fivetran, and Andy Palmer, CEO of Tamr, about modern data movement and data mastering capabilities that ensure data warehouses have enterprise-wide data assets that are analytics-ready.

In this fireside chat, Tamr Chief Product Officer Anthony Deighton and Pankaj Dugar, vice president of product partnerships at Databricks, share how the cloud offers the scalability, favorable total cost of ownership, and elasticity organizations need to better leverage their data. You’ll also learn how Tamr fits with Databricks’ lakehouse approach to data management.

The era of mobile, cloud and IoT shifts the way enterprises deal with data, requiring organizations to handle data at scale, eliminating silos, and using it for better business outcomes. In their open conversation Rich Miner, investment partner on the GV team and co-founder of Android, Inc and Andy Palmer, CEO and Co-Founder of Tamr will discuss how the rapid developments in the mobile and IoT rapidly transform the way data is managed by organizations. Rich and Andy will discuss the benefits and challenges in a world that is rapidly transformed.

DataOps is an emerging set of practices, organizational structures, and technologies for building and automating data pipelines to enable governments to make data-driven decisions quickly. Mark Marinelli, Head of Customer and Partner Enablement at Tamr, shares the key components needed to transform data initiatives.

Leverage human intelligence for training the model. Receive trusted results, delivered quickly and at large scale

As a business leader, setting objectives to improve the quality of data in your organization is critical. But, being too ambitious could hinder your ability to achieve quick wins and gain support from key stakeholders. To overcome this, data leaders need to avoid ‘boiling the data lake’, a phrase that describes taking the impossible task of transforming your organization’s data management processes overnight. Instead, leaders are encouraged to focus on a specific area and follow the DataOps methodology to incrementally change the processes, technology and people’s behavior within the organization. Marc Alvarez, has applied this ‘entrepreneurial’ approach to data management as Vice President of Data Management and Operations at Thomson Reuters. This session will cover why business leaders should treat data less like an IT project and more like a business asset.

Best practices for modern DataOps in life sciences — fire side chat

Learn why customers are turning to Tamr and Google Cloud to master data at scale. Topics this session will cover include the cost saving generated by leveraging Tamr’s cloud-native capabilities, how Tamr works with Google’s data services, and what customer should know about migrating to Google Cloud from on-premise systems.

Gaining a holistic view of your organization’s customers across touchpoints is essential to maintain a comprehensive, up-to-date view of consumers. But, many organizations struggle when consolidating internal data sources (e.g. CRM systems) and connecting structured and unstructured external data sources. This session will demonstrate how organizations like Toyota, Johnson & Johnson and Staples master their customer data at scale to improve sales and marketing efforts which drives increased customer satisfaction and retention.

Learn why customers are turning to Tamr and Microsoft Azure to master data at scale. Topics this session will cover include the cost saving generated by leveraging Tamr’s cloud-native capabilities, how Tamr works with Azure’s data services, and what customer should know about migrating to Microsoft Azure from on-premise systems.

The U.S. government developed the 2020 Action Plan which establishes a solid foundation to support agencies in the implementation of the government’s data strategy over the next decade. Panelists will start a dialog on the tools and cultural changes that need to be in place in order to support agencies to better leverage their data.

Join this panel to hear from the the former CTO of the Obama administration, the former CIO of Navy – Medicine and tech and government innovation center panelists from Dcode as they gather to debate how agencies should find and use the best tools that ultimately enable them to meet mission success.

As the proliferation of imagery data and mapping information grows across the federal and
commercial markets, there is a growing need to consolidate, catalog and curate this data from a variety of sources. Hundreds of data sources across GPS, social media, satellite imagery and
other integration points can measure into hundreds of millions of records, perhaps billions.
Conflation of geospatial data is necessary to ensure that all data sources (both internal and
external) are grouped to provide the most complete information about points and entities of
interest.

Maxar’s EVP of Global Field Operations, Tony Frazier and Tamr’s CEO, Andy Palmer will address:
Best practices for geospatial analysts to utilize machine learning coupled with human expertise to save time and improve mission effectiveness
Why cloud native capabilities are crucial for extending information sharing and ingestion and importance of grouping and cleaning data prior to visualization
How analysts can get started

AI and ML are enabling a new paradigm for deploying truly transformational data projects. By leveraging voluminous real-time information and new algorithms, there is a promise of better and more efficient decision making and processes. Join this session, led by two data titans, DataRobot’s CEO, Jeremy Achin and Tamr’s CEO, Andy Palmer. Together they will discuss why AI and ML should have a front row seat in your next data project and what are the most critical best practices to establish the right technology, people and processes to drive project and mission success.

• The biggest challenges to effective market data source unification
• How the Data Cloud and machine learning are helping overcome these challenges to enable continuous, clean, and trusted insights
• Real-life use cases where data unification has delivered high ROI through new data products and insights

Since the coronavirus outbreak, the cascading effects from the economic slowdown are being felt across the globe. From spend analytics to supply chain management, companies are seeking to maximize their data and use it as an asset to make the right business decisions, now.

Standing in the way of this realization is the problem of the 3V’s of data: Volume, Velocity, and Variety. This is the 800-lb gorilla in the corner.

To unleash the latent power of data, companies of all types and sizes need to address the gorilla and find solutions.

Join TDWI’s VP of research, Fern Halper, in a roundtable discussion with Tamr CEO Andy Palmer and Google Cloud director of product management Evren Eryurek about best practices for cleansing, mastering, governing, and leveraging cloud data.

You will learn about:

• Data challenges in the cloud
• Best practices for data quality in the cloud
• Best practices for mastering data and utilizing it as an asset
• Frameworks for cloud data governance

Join TDWI’s senior research director James Kobielus on this webinar to explore how enterprises are boosting retention, up-sell, personalization, and other monetization outcomes with machine learning-driven approaches to delivering customer insights. He will discuss how ML can be leveraged to:

• Discover the best available customer data from a wide range of internal and external sources
• Reduce the cost of consolidating, transforming, cleansing, and enriching customer data
• Deliver relevant, curated data-driven insights into every customer decision scenario

In the incredibly competitive insurance industry, providing exceptional customer service is the key element to standing out.

Tune in to hear why Transamerica is taking a data-first approach to customer service.

From providing stellar customer service to complying with regulations, 360-degree customer views are a must for banks. Oftentimes, financial institutions struggle with creating these accurate views. Data silos and traditional approaches to master data management lead to limited customer views, slowing lending decisions, hindering marketing efforts and impending effort to meet KYC requirements.

But quickly and efficiently developing up-to-date customer records is possible. Banks are using machine learning to create unique profiles of every customer, paving the way for regulatory compliance and reporting efficiency. By mastering customer data, financial institutions can make more informed credit decisions, approve loans faster loan approval and readily identify cross-sell opportunities.

Leveraging this machine learning in a cloud-native environment further empowers the banks by providing them with the infrastructure to master customer data at scale.