ON-DEMAND WEBINAR
Data-as-a-Service: Delivered Live & Seamlessly into your
Client Workflows
For brokers, banks, and providers of data-driven services, effectively integrating your offering into your clients' ever-evolving workflow environment remains one of the greatest challenges but also one of the biggest opportunities. In this webinar we explore the burden of the last mile of delivery and what can be done to greatly improve the client experience.
9 PAGE REPORT
Data-As-A-Service: Delivered live and seamlessly into your client workflows
Providers of data-driven services are finding it increasingly challenging to integrate such offerings into their client’s workflows. Clients are increasingly opting for data services which can be delivered into their existing workflow tools of choice so they can seamlessly integrate and automate.
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Data-as-a-Service in a data-centric world
The introduction of regulatory requirements for the publication of pre- and post-trade pricing and execution data by a wide range of trading firms has led to a proliferation of data available for asset classes that have historically only traded over the counter. Providers have evolved to drive and support our increasingly data-driven financial markets.
ON-DEMAND WEBINAR
Digitisation of Pre - trade
Client Workflows
Learn how J.P. Morgan, Goldman Sachs, Insight Investment and TP-ICAP are approaching the digitisation of pre-trade client workflows. Understand how market infrastructure providers like CurveGlobal, Symphony and ipushpull are facilitating this by improving price discovery and building liquidity through standardisation, automation and live data.
9 PAGE REPORT
Improving the Efficiency of Pre-trade Client Workflows
In this nine-page Financial Markets Insights report we discuss the challenges around eliminating manual processes in the pre-trade negotiation environment.
WEBINAR SUMMARY REPORT
Digitisation of Pre-trade Client Workflows
The webinar summary encompasses the insights from our esteemed financial markets panel and examines workflow digitisation.
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New Initiatives Around Standardisation and Automation in Capital Markets
Automating data-driven workflows in isolation vs. the essential role of data standardisation and automation in capital markets and generally in financial markets.
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Digitalising Financial Markets with Data-as-a-Service
How ipushpull cloud-enables firms to seamlessly share live, streaming, and on-demand data with Data-as-a-Service.
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Automating Data-driven Workflows in Financial Markets
Why it’s important for firms to progress from pure data distribution towards data-driven workflows. We examine some use cases, and explore the benefits that automated data-driven workflows can offer.
ON-DEMAND WEBINAR
Fintech’s next frontier:
Data - as - a - Service
Watch this exciting webinar to hear our expert panel discuss the importance of Data-as-a-Service in facilitating remote working and accelerating digital initiatives within the financial markets industry. Panelists include NatWest Markets, MayStreet, Euromoney TRADEDATA, Deputy Chair of Engine - part of The Investment Association and ipushpull.
8 PAGE REPORT
Fintech’s next frontier: Data-as-a-Service
Download our report to learn about the importance of Data-as-a-Service in facilitating remote working and accelerating digital initiatives within the financial markets industry.
WEBINAR SUMMARY REPORT
Using Data-as-a-Service to Accelerate Digital Initiatives
The webinar summary encompasses the insights from our esteemed financial markets panel and examines Data-as-a-Service.
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Coronavirus Forces Change for Sales and Traders Working from Home
Firms embracing the latest communication, collaboration and workflow platforms have a significant advantage as financial institutions have moved operations in differing ways.
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How can data-rich financial institutions and vendors provide ‘Data-as-a-Service’ to their clients?
The webinar summary encompasses the insights from our esteemed financial markets panel and examines Data-as-a-Service.
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Enabling Data-as-a-Service on Legacy Platforms
What are the key considerations when it comes to cloud-enabling a firm’s existing legacy platforms? How difficult is it to offer live or real-time data sharing apps such as Excel?
