Data Management Insight Webinars

Upcoming Webinar: Sourcing and managing ESG disclosure data to ensure compliance

Date: 8 February 2022 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes As interest in ESG investing continues to accelerate, asset managers must source and manage increasing volumes of ESG disclosure data. Data volumes are not the only problem, with different types of ESG disclosure data, the need to master the...

Upcoming Webinar: FRTB: What still needs to be done before the global deadline of January 2023?

Date: 8 March 2022 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes While implementation of Fundamental Review of the Trading Book (FRTB) regulation has been delayed twice for reasons first of complexity and second of the coronavirus pandemic, the final deadline of January 1, 2023 is less than a year away....

Upcoming Webinar: Key steps in adopting cloud and SaaS delivery for enterprise data

Date: 29 March 2022 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Following in the footsteps of market data migration to the cloud, enterprise data is finding its place in the cloud alongside Software-as-a-Service apps and data delivery mechanisms. The initial aim is to achieve greater efficiency and reduced costs by...

Recorded Webinar: Best practice approaches for corporate actions automation

Demand for timely and accurate corporate actions data is growing as volumes and complexity rise, and financial institutions acknowledge the increasingly costly gap between accurate corporate actions processing in real, or near-real, time and faulty processing caused by poor data and resulting in missed opportunities to optimise revenue. While many firms currently process parts of...

Recorded Webinar: Deploying knowledge graphs in the real data management world

Knowledge graphs that link data across a wide and diverse range of sources, incorporate both structured and unstructured data, visualise connected data, and provide in-depth contextual search capabilities that deliver business insight without moving data offer great potential for financial institutions. Their use cases range from advanced data integration, unification and analytics to specific functionality...

Recorded Webinar: Best practices for metadata management

Metadata has become central to financial firms as a means of enriching, discovering and effectively using both business and technical data. Its management is equally important, particularly in capital markets applications such as data lineage and data governance, which require a clear view of data and its provenance, and the ability to scale and support...

Recorded Webinar: Unifying client data to accelerate insights and deliver better experiences

Data insight is critical to all aspects of the buy-side investment process from portfolio decisions that drive core revenue and incremental revenue opportunities, to delivering unique and timely investment research, and rapidly innovating and offering new products to clients. While this is a key goal for asset managers, built on the ability to understand and...

Recorded Webinar: Brexit: Reviewing the regulatory landscape and the data management response

With Brexit behind us and the UK establishing its own regulatory regime having failed to reach equivalence with the EU, financial firms face challenges of double reporting, uncertainty about UK regulation, and a potential exodus of top talent. The data management response is not easy and could stretch some firms to the limit as they...

Recorded Webinar: A new way of collaborating with data

Digital transformation in the financial services sector has raised many questions around data, including the cost and volume of reference data required by each financial institution. Firms want to pick and choose the reference data they need to fulfil their requirements. Emerging solutions with the potential to decrease the cost of data and increase flexibility...

Recorded Webinar: Maximising success when migrating big data and analytics to cloud

Migrating big data and analytics workflows to the cloud promises significant cost savings through efficient use of infrastructure resources and software that scales dynamically based on data volume, query load, or both. These are valuable gains for investment banks, but they can only be fully realised by taking a new approach to architecture and software...