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Data Management Insight Webinars
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: Evolution of data management for the buy-side 2021
The buy-side faced a barrage of regulation in 2020 and is now under pressure to make post-Brexit adjustments and complete LIBOR transition by the end of 2021. To ensure compliance and ease the burden of in-house data management, many firms turned to outsourcing and managed services. But there is more to come, as buy-side firms...
Recorded Webinar: Data management for ESG requirements
Environmental, Social and Governance (ESG) investing is moving into the mainstream, requiring asset managers to develop ESG strategies that deliver for both the firm and its investors. While these strategies can outperform those that do not include ESG factors, there is no clear route to success in an immature market that is only just beginning...
Recorded Webinar: How to establish data quality and data governance for analytics
Data quality has been a perennial problem for financial institutions for many years, but this needs to change as firms become increasingly reliant on accurate analytics to deliver business opportunity and competitive advantage. New approaches to data quality can help firms up their game and significantly improve their analytics capability. Adding the processes, controls and...
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...
Recorded Webinar: Leveraging data lineage to deliver tangible business benefits
Data lineage is central to data quality, accuracy and access. It is also essential to understanding your data and data flows, systems from simple applications to multiple business intelligence solutions, and how people in your organisation are using data. Implemented across the enterprise, data lineage can provide significant business benefits, including new business opportunities, better...
Recorded Webinar: Data management for analytics and market surveillance
The financial services industry is starting to harness the potential of Big Data analytics to gain insights that can yield competitive advantage. At the same time, market surveillance has emerged as a major requirement for trading firms across the board as regulations like MiFID II and Market Abuse Regulation (MAR) push both buy- and sell-side...
Recorded Webinar: Managing unstructured data and extracting value
Unstructured data offers untapped potential but the platforms, tools and technologies to support it are nascent, often deployed for a specific problem with little reuse of common technologies from application to application. What are the challenges of managing and analysing this data and what are the considerations when making investments in this area? Data quality, consistency...
Recorded Webinar: Data Science & Analytics – New approaches and capabilities for driving business analytics
Financial institutions are under pressure to maximise the insight they can derive from their data. With data spread across multiple silos and stored in both structured and unstructured formats, embedding analytics into business processes can be difficult and calls for new approaches to data management. Open source database and data processing technologies, as well as...