Leading with Data Mastering: Getting the Most from your Cloud Migration
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.
To help organizations understand how to leverage data mastering when moving to the cloud, this webinar will cover:
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
How CxOs Future-proof Enterprise Data & Advanced Analytics Conversions
CxOs of Banking, Financial and Insurance Institutions (BFSI) are realizing the value of deploying Enterprise Data & Advanced Analytics Conversions at scale by harnessing state-of-the-art methodologies and emerging technologies with global expertise. By building a dedicated Enterprise Data Conversion practice inside the organization, CxOs are continuously capitalizing on business and operational efficiencies and obtaining new insights from across the enterprise — all while enhancing data and analytics environments.
The webinar will explore:
Migrating / decommissioning from legacy to modern data environments
Upgrading data from legacy to cloud infrastructure
M&A or acquiring a new businesses
Recurring demand for external data conversions
Demystifying data literacy to drive data empowerment
Organisations are realising the importance of data literacy to enable effective self-service and unlock the value potential of data enterprise-wide use. But what does becoming a ‘data literate’ organisation actually require?’
In this webinar, we will explore some of the barriers faced when implementing data literacy, the important success factors to ensure adoption across the business and share some examples of how organisations have identified their own data literacy needs and goals.
Join the discussion with Kubrick, an award-winning data, AI, and cloud technology consultancy, and their partner and data intelligence technology leader Collibra to learn how they have supported enterprises in developing and scaling data literacy.
The webinar will explore:
Recently released data from an industry survey on data literacy maturity
Five keys to improving data literacy
The blockers experienced with promoting enterprise-wide data literacy
Data Lake or Data Swamp? Pandemic-accelerated issue
The webinar will look at the following questions:
What data are really crucial to you?
What is a data warehouse? A data lake? A data swamp?
How can Open Knowledge Graphs combined with Machine Learning change the way you handle some of your data problems?
What common problems crop up in data projects and how can they be avoided?
Which solutions go beyond the limitations by using some not-so-common approaches?
Data Democratization: Empowering Data Citizen for exponential ROI
Modern data organizations are swiftly adopting strategies that focus on Data Democratization to empower Data Citizens with marketplace-like access to trusted data across organization silos including third party data for context enrichment.
This new Data Democratization phenomenon is enabling organizations to drive innovation at scale, alongside data-driven decision-making leading to exponential ROI on the data investments.
This webinar will feature experts who led their organizations through data transformational journeys. They will share their path to success, lessons learned and practical nuggets from their experience.
Our panel of industry experts will discuss:
Establishing the Culture of Data Citizen and why it is more important than ever for organizations to adopt
Why Data Democratization is the new core of data monetization
What is the role & salient features of the Self-Service Data Citizens Ecosystem in demonstrating data valuation and ROI on the data investments
Lessons learned from transformational journeys and practical next steps for organizations
Control Risks Lurk at Every Step: Revealing Data and Process Risks in Regulatory Reporting
In the world of regulatory reporting requirements, control risks lurk at every step — from data ingestion, enrichment and validation to sign-off and report submission. The pace of regulatory change incited by recent global economic and market disruptions heightens data and process risks no matter what kind of reporting is involved: financial, statistical, liquidity, capital and credit risk, tax, shareholding disclosures, or trade and transaction.
Revealing the risks inherent in regulatory reporting is mission-critical so that financial institutions can strongly control them in their risk and regulatory reporting systems.
Learn about establishing a best practice control framework to efficiently and transparently manage regulatory data and process risks.
Breaking All the Rules: Why Finance Is Turning to Machine Learning to Manage Data
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.
Balancing Agility and Governance for Self-Service Analytics
Across industries, the journey to digital disruption and data-driven transformation is well underway. With the adoption of self-service analytics and greater demands for output and time to value, achieving the right balance between agility and effective governance is paramount.
For modern organizations, traditional top-down and workflow-driven data governance may not be the best fit. What’s needed is an adapted approach to governance that’s agile, scalable and takes advantage of augmented analytics and catalog-driven capabilities to meet the needs of data-driven businesses.
In this webinar, attendees will learn how to:
Create a framework for bottom-up-driven governance that balances user empowerment, data discovery and collaboration – with the degree of governance necessary for effective data usage
Emphasize support and operationalization for end users of data as close to the point of data consumption as possible
Leverage agile methodologies to manage data acquisition, data use and data stewardship
Integrate the data catalog into holistic governance practices
Accelerate Cloud Data Platform Adoption with Automated Data Intelligence
Greater agility, scalability and lower total cost of ownership made the decision to move to the cloud easy. The real challenge is migrating the data from legacy systems to your new cloud platform to start realizing value while minimizing the risk.
With automated data modeling, transformation management and data governance software and services, you can accelerate and simplify the adoption of modern cloud data platforms to improve, scale and sustain your enterprise data capability.
In this session, we’ll show you how stakeholders with different needs and skills can work together to ensure the success of cloud migration projects regardless of their size.
When you attend this webinar, you will learn how to:
Reduce costs and mitigate risks when migrating legacy applications to the cloud with metadata-driven design and transformation capabilities
Increase the precision, speed and agility of cloud deployments with automation
Ensure transparency, compliance and governance for cloud data assets
Increase the efficiency and accuracy of analytics and other cloud data usage
EDM Association Completes Acquisition of Assets of OMG
The combination of the two organizations creates the world's largest data and standards community.
