How to use a semantic layer to deliver actionable insights at scale
Learn about using a semantic layer to enable actionable insights for everyone and streamline data and analytics access throughout your organization. This session will offer practical advice based on a decade of experience making semantic layers work for Enterprise customers.
Attend this session to learn about:
Delivering critical business data to users faster than ever at scale using a semantic layer
Enabling data teams to model and deliver a semantic layer on data in the cloud
Maintaining a single source of governed metrics and business data
Achieving speed of thought query performance and consistent KPIs across any BI/AI tool like Excel, Power BI, Tableau, Looker, DataRobot, Databricks and more
Providing dimensional analysis capability that accelerates performance with no need to extract data from the cloud data warehouse
Chief Data Officers have the tough job of playing a balancing act between complying with a plethora of regulations whilst proving the business value of investment made in Data Governance technology.
In this webinar, you will hear from Industry Experts on how to:
Modernise your Data Lineage and Data Quality
Extract business value by changing your defensive data strategies to an offensive approach
Meet your regulatory compliance obligations, such as ESG Sustainability Reporting, Anti Money Laundering & Financial Crime Risk as well as Operational Resilience
Hear use cases of how organisations have successfully increased business value through data governance strategies.
Data Literacy for All in the New World of Insurance
In the insurance industry, countless decisions and actions are made daily to support clients’ needs, compete effectively in a crowded market, and grow businesses. But the pressure is on to become fully data-driven to deliver the best outcomes for clients and for the business. While data around us is increasing exponentially, more users across insurance firms are dependent on it for their daily work. But do the users of that data even have the knowledge and skills they need to source, understand and apply that data to do their jobs well, everyday, especially as it becomes ever more complex? Join EDM Council and IDMA as we host a webinar to discuss Data Literacy and the benefits of it being at the core for any insurance organization to be data-driven.
Data management experts will discuss:
How data literacy applies to the insurance industry to enable employees to understand, find meaning, interpret, and communicate using data – and stand out in their organizations as high performers and well-informed decision makers
How creating a data literate organization drives innovation and collaboration
Why organizations with aggressive data literacy programs outperform those who have not prioritized data literacy
How data management frameworks – such as DCAM and CDMC for data management and cloud data management capabilities – provide the opportunity for organizations to excel at building a strong and scalable data foundation based on accepted best practices
A Business-First Approach to Building Data Governance Programs
Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves data management and governance leaders having to continually make the case for data governance to secure business adoption.
In this webinar, Cameron Ogden will share his proven 3-step approach to building a lean, business-first data governance program that connects key initiatives to governance capabilities and quickly delivers business value for the long-term.
Step 1: Link Data Governance to business goals
Step 2: Prioritize the data that matters
Step 3: Build value across all three stakeholder levelsHe will give examples of organisations worldwide who have successfully implemented a data governance program by engaging with key stakeholders using innovative techniques such as gamification and data catalog scavenger hunts.
In the Cloud, Make the Data Reign
During this webinar, an impressive line-up of industry experts will highlight the importance of data management and analytics while moving to the cloud. Cloud topics can be intimidating, but our experts will use simple analogies to make the content easy to understand and implement. Register now to gain a deep understanding of the need for data analysis and management in cloud migration, the challenges that exist, the consequence, the solution (best practices), and the business value.
Join our panel of industry experts who will discuss:
The benefits of moving enterprise data to the cloud
The digital transformation that goes beyond lift-and-shift toward analytics-driven migration
The key to gaining maximum intelligence from unstructured data
Decoding best practices to make the data reign in a hybrid cloud infrastructure
The Cloud Data Management Capabilities Framework (CDMC)
Business outcomes and key takeaways
Knowledge Models that Solve the Data Management Puzzle: A Practical Guide
This webinar is designed for data management practitioners to help solve the data management puzzle, achieve the latest best data practices and optimize your organization’s data assets. This requires having a sound framework and the right pieces of intelligence to connect data to processes, technology, people and regulations, so that you can deliver true knowledge and insights to data consumers across the business.
The expert panel will focus on the latest Knowledge Models developed in collaboration with Ortecha, Solidatus and EDM Council. Starting with the layer of the Data & Analytics Management Requirements Model, the webinar will also introduce three models that deliver additional, specific value:
DCAM-CDMC Model: This provides a digital, visual map for how your organization can apply both the DCAM best practices framework and the CDMC framework (cloud data management capabilities), map the capabilities between the two, and understand your organization’s progress in achieving results
Global Privacy Model: This maps the GDPR regulation to the Data & Analytics Management Requirements Model to explore how DCAM and CDMC capabilities support a response to specific privacy requirements
BCBS 239 Model: This maps the requirements of the BCBS 239 banking regulation to the capabilities defined by DCAM and CDMC
Business First Data Lineage – A New Approach
Data Lineage plays a critical role in data governance and operations processes. While CDOs used to be primarily technology focused, the data-driven needs of modern organizations demand that CDOs become more focused on delivering business value. Despite this shift, traditional data lineage tools and solutions remain highly technical and often provide details that are not relevant to business users. These users thus depend on technology teams to provide the relevant data lineage information needed for analysis, but this can be time consuming and inefficient with legacy tools.
Business users of today’s digital-first environments require information related to data lineage available on demand. In this webinar, we will discuss opportunities, how-to’s and benefits for implementing a simplified, automated, and business-friendly data lineage model.
Benefits:
Gain more insights and operational intelligence to improve regulatory reporting
Reduce dependency on in-house technology resources and time spent for root cause analysis
Simplify representation of rules and data with different views for ease of understanding by operational users.
Join this session to learn more about:
Challenges with Data Lineage as CDOs become more business focused
A new approach towards providing business-friendly data lineage
Real-world benefits and results for businesses
Knowledge Models for Data Leaders: Solving the Data Management Puzzle
Data leadership is driven by maximizing the value of an organization’s data assets and building a strong, digital, scalable data ecosystem. This requires having a sound data management framework and connecting the right data to processes, technology, people and regulations to deliver true knowledge and insights to data consumers across the business. You are invited to join a webinar that will discuss how your organization can solve the data management puzzle and achieve the latest best data practices. We will focus on the latest Knowledge Models developed in collaboration with Ortecha, Solidatus and EDM Council. Starting with the layer of the Data & Analytics Management Requirements Model, the webinar will also introduce three models that deliver additional, specific value:
DCAM-CDMC Model: This provides a digital, visual map for how your organization can apply both the DCAM best practices framework and the CDMC framework (cloud data management capabilities), map the capabilities between the two, and understand your organization’s progress in achieving results.
Global Privacy Model: This maps the GDPR regulation to the Data & Analytics Management Requirements Model to explore how DCAM and CDMC capabilities support a response to specific privacy requirements.
BCBS 239 Model: This maps the requirements of the BCBS 239 banking regulation to the capabilities defined by DCAM and CDMC.
The 2022 Guide to Modernizing Data Lineage
Data Lineage is an important part of mature Data Governance practices. It has traditionally been used to minimize the impacts from changes to data processes and structures and to help consumers of data understand and troubleshoot the sources of data they rely on. But, legacy lineage solutions stood apart from the other functions of data management. They were siloed, manual and resource intensive processes that either failed or ended up only telling part of the data story. Today, organizations demand automated and scalable data lineage as an integrated part of the Data Governance process. This panel discussion will explore how lineage connected holistically with data quality, stewardship and catalog processes can produce a better understanding of the data, create controls for data processes and generate greater observability for data.
Join this session to learn more about:
Modern lineage use case examples and how they increase the effectiveness of data governance
The importance of an integrated lineage solution to empower innovation for your business
Real-world learnings for implementing a modern, integrated solution for lineage
The CDO Seat at the Cloud Table
Data management is how your organization prepares for the workforce of the future by building a data culture, redefining processes, and putting the right tooling in place to set the data foundation. The role of the CDO in your company’s cloud strategy will be a key differentiator between your company and ones that underestimate the hurdles of building a data-driven organization to achieve strategic objectives. Microsoft recently published a white paper that reveals how Microsoft underwent its own data transformation journey, the data management framework that was created from the process, and how Microsoft’s data governance solutions can help CDOs embark on their own data transformation.
EDM Association Completes Acquisition of Assets of OMG
The combination of the two organizations creates the world's largest data and standards community.
