About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Briefs

JamLabs to Launch Online Data Selling Platform

Subscribe to our newsletter

Toronto-based JamLabs Data Science, a full-stack data science solution and advanced analytics provider, is launching jShop, a cloud-based product management platform that will enable companies to monetise their valued data by creating online white-labelled stores.

jShop’s adapters will allow customers to quickly load and publish their data catalog from major platforms like AWS, Snowflake, and Databricks, reducing onboarding time from weeks to days, according to the company. Clients will be able to create licenses that charge according to gigabyte accessed, or based on slices selected by customers.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Beyond the Monolith: Crafting the Agile Trading Stack for the Modern Era

For decades, the central question for any firm designing its trading systems architecture has been a seemingly binary choice: buy an off-the-shelf platform or build a proprietary one in-house? The ‘buy’ camp argued for speed to market and vendor-managed upkeep, while the ‘build’ camp championed bespoke functionality and control over intellectual property. Today, this long-standing...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...