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

A-Team Insight Blogs

Challenges and Opportunities of Internal Self-Service Data Solutions

Subscribe to our newsletter

The concept of internal self-service data solutions is gaining traction as financial institutions and corporations see value in the data sets they generate through their business activities. That said, harnessing the data to provide valuable insights for internal business teams can be a challenge. One approach is to adopt a self-service data delivery model that empowers consumers and ensures they get access to the right data to meet their needs.

A recent white paper researched and written by A-Team Group, and sponsored by TickSmith, Driving Data Adoption Throughout an Organization via Self-Service, considers how organisations can use self-service to improve the quality of internal data sets available to consumers, while freeing up internal data producers to take a more strategic approach to data product design and creation.

In more detail, the paper covers the challenges of data preparation and the processing landscape, and sets out the benefits of a self-service approach. It also offers a snapshot of TickSmith’s Data Web Store, which offers a practical solution that allows data producers to make valuable data sets available to business users by creating an internal ‘marketplace’ of standardised data products.

Download the white paper to find out more.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Date: 28 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined...

BLOG

Ataccama Gathers Data Capabilities into Focused EU AI Act Package

As the implementation date for the European Union’s AI Act looms, financial institutions are having to put their data estates on a secure footing to ensure they comply with the wide-ranging regulation. The Act requires organisations to have a broad and granular view of their data in order to show that they can trace any...

EVENT

RegTech Summit New York

Now in its 10th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...