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Perform Enterprise Conversions at scale with Data Lineage Automation

Enterprise growth depends greatly on successful digital transformations. Today, large-scale data conversions are often combined with a migration to the cloud, giving the enterprise a chance to also modernize their data pipelines. Join us to hear from Sanjay Kalra (Digital Transformation Sherpa at Intelliswift) and Nissim Ohayon (Data Lineage Enabler at Octopai) as they unpack some of the challenges and solutions to consider when planning a sea of change in data pipelines.

This webinar will dive into:

  • Adopting a conversion factory strategy
  • Leveraging prebuilt accelerators and data analysis dashboards
  • Deploying pattern recognition algorithms for identifying regularities and irregularities
  • Accelerating the process using entity resolution via machine learning algorithms, intelligent recon, and audit technique
  • Shedding light on data pipelines, and the interdependence of each data asset with automated data lineage to ensure that all potential impact is assessed and resolved proactively

How to unify business intelligence & data science with a semantic layer

This session will provide practical advice on unifying business intelligence & data science, and show how to better enable data scientists the ability to operationalize predictions and features broadly across your organization, in any BI tool of your choice. Join our ML & AI technologist and a practitioner to learn about how using a semantic layer brings governance and consistency to BI users and it can now be leveraged to do the same for your data scientist teams. With a semantic layer, data scientists and Machine Learning Engineers can programmatically interact with unified metric definitions through python to create features needed for training and serving ML models, and append ML model prediction and metadata results to existing data models. You’ll see how a semantic layer bridges the gap between BI and AI by allowing data scientists to more effectively communicate their data preparation, feature engineering, and ML model results in a manner that everyone understands.

This session will cover:

  • How data science and business intelligence teams can better collaborate using the semantic layer
  • Delivering predictions and features 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 for BI and Data Science
  • Achieving speed of thought query performance and consistent KPIs across any BI/AI tool like Excel, Power BI, Tableau, Looker, DataRobot, Databricks and more

Generating business value from new data sources and use cases

Businesses all over the world have had a growing interest in how aggregated human movement data could help inform and measure performance. In particular, businesses have been interested in how human movement data, combined with location context data and demographics, could be used to measure and monitor the impact of business decisions. Join us to hear more about this innovative, dynamic data and how it can help governments and businesses make better decisions. This information provides never-before-seen insight that enables businesses all over the world to make impactful, trusted decisions with the context of how populations move between locations.

During this webinar, industry experts will cover:

  • Real use case scenarios across multiple verticals, covering the pro and cons of using human movement data
  • Considerations when using the human movement data
  • Lessons learned

How Sodexo optimized their data to drive digital transformation

For Sodexo, a global food services and facilities management company, understanding who their top suppliers are and which products are currently in demand is key to their business. Having accurate data helps them spot changes and new trends in customer preferences, drive vendor price negotiations, and improve service. In this upcoming webinar, Gildas Bachelier, Vice President of Global Processes, Data & Systems – Supply Management, will share Sodexo’s digital transformation story and how Tamr’s data mastering solution enables the company to better match the changing tastes of their customers and streamline their supply chain.

Join this webinar to learn how Sodexo:

  • Better identifies changes in customer product preferences for improved service
  • Drives cost savings by identifying key vendors and negotiating product pricing
  • Efficiently standardizes and classifies large volumes of global product data using Tamr and Microsoft Azure

Extending Data Governance to New Generation Architectures

New generation data mesh, data fabric architectures and cloud platforms present new challenges in terms of the storage, ingestion, provisioning and consumption of data. The need is to ensure consistency in data, proper cataloguing of data, API based data provisioning, regulatory compliance, and access to data. The key is to design the right foundation that is all about setting the right process, roles, responsibilities & policies. A structured data governance plays a key role in reducing the time spent by data scientists on understanding the data, thereby improving trust in the data.

Attend this session to learn about:

  • Demonstrating Value of a Governance program
  • Building the right foundation
  • Drive Adoption and Continuous improvement

How Cloud is making it easier to integrate external data sources

Businesses are growing increasingly reliant on market and alternative data to monitor key results of their performance and risk, stay ahead of trends, and gain a competitive edge in the marketplace. While many organisations have solved the problem of identifying and acquiring diverse data sources for potential insight, the question still remains: How do we effectively integrate our sources at scale to unlock their true business value?

Join us along with Snowflake to learn:

  • The biggest challenges to effective external 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

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

The CDO’s Data Governance Modernization Playbook

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.