Interested in hosting your own webinar? Get in touch
A-Team Insight Webinars
Recorded Webinar: The art of implementing data lineage
Data lineage is a regulatory and internal requirement with potential to deliver significant operational and business benefits, but financial institutions can find it difficult to implement and complex to maintain as systems and regulatory requirements themselves, change quickly. The importance of understanding where the true source of the data is coming from, where the data...
Recorded Webinar: Approaches to data quality
Underpinning all data management initiatives is the fundamental need to get data quality right. Poor data quality can be costly, impact customer service, lead to errors in risk management and regulatory reporting, and more. So, how can you improve data quality? How can you use rules, standardisation and technology to make improvements? And how is...
Recorded Webinar: Solvency II Update: Are we effectively meeting the regulatory data requirement?
Nine months on from the January 2016 Solvency II compliance deadline, insurance firms and asset managers should have satisfactory responses to the regulation in place. But how effectively are they meeting the regulatory data requirement for the look-through and reporting elements of the regulation, and how best can they achieve not only compliance, but also...
Recorded Webinar: Best practice solutions for client lifecycle management
The challenges of client lifecycle management continue to increase, driven by regulation and requiring financial institutions to review processes around client onboarding, Know Your Customer (KYC) and client data maintenance. The webinar will outline the challenges faced by financial institutions, discuss best practice solutions, detail the need to integrate high quality entity data, and include...
Recorded Webinar: Implications of MiFID II for Data Management
MiFID II is shaping up to be one of the biggest regulations to impact the financial industry. While much of the regulation focuses on trading, there are many implications for data management. The webinar will explore issues effecting data management, including extended coverage of instruments and trading venues, new data fields, the mandate to use...
Recorded Webinar: Client onboarding and KYC: the data management challenges
Client onboarding and Know Your Customer (KYC) processes are imperative to regulatory compliance and building competitive advantage, but how much progress is the industry making in transitioning onboarding from a disjointed process run across many functions to an holistic operation spanning the enterprise? New approaches and technologies are available, so how best can you implement...
Recorded Webinar: The Reference Data Utility: How and Why Goldman Sachs, JP Morgan Chase and Morgan Stanley are on board
The topic of a utility model for reference data management is not new. But now we have a real world example in the form of the Reference Data Utility, based on SmartStream’s platform and backed by three founding partners: Goldman Sachs, JP Morgan Chase and Morgan Stanley. Listen to this important webinar to hear first...
Recorded Webinar: How to Track Data Lineage for Enterprise Data Management
Data lineage, the ability to track the source and lifecycle of your reference data, is becoming increasingly important as regulations call for greater transparency and risk managers require confidence in the data feeding their models. What regulations are driving the need for data lineage, what do you need to be able to demonstrate, and what...
Recorded Webinar: Adding Intelligence to Electronic Execution for Best Execution Under MiFID II
MiFID II’s provisions for best execution promise to be more rigorous than its predecessor’s. They also will be applied to a host of relatively illiquid and potentially more complex asset classes. Compliance will be challenging. This webinar looks at the emerging requirement for truly smart order routing under MiFID II’s best execution rules: Approaches to...
Recorded Webinar: Next Generation Technology for Data Quality
What impact are next generation technologies having on data management today, and what is the outlook for further implementation and process improvements. We explore technologies such as automation, cloud computing, a managed services model, and applying the distributed model of blockchain to address data quality and management issues. The need for new technologies Potential of...