The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

Are You Up to Speed on Data Quality?

Bad data affects time, cost, customer service, cripples decision making and reduces firms’ ability to comply with regulations. With so much at stake, how can financial services organisations improve the accuracy, completeness and timeliness of their data?

“Growing data volumes and diversity mean that central IT departments struggle to keep up with increasing demands to implement data quality checks and remediation,” says Alex Brown, Chief Technology Officer at Datactics.“

A decentralized model however, that empowers data owners with the tools to ensure data quality themselves in a consistent and controlled manner, greatly improves operational efficiency, improves regulatory compliance and can even enable competitive advantage.”

Listen to our latest webinar discussing how to establish a business focus on data quality, with a focus on how to develop metrics and how to roll out data quality enterprise wide. Learn about how dashboards and data quality remediation tools can help to fix data quality problems in real time, and explore new approaches to improving data quality using AI, Machine Learning, NLP and text analytics tools and techniques.

With a fantastic line-up of speakers including Ellen Gentile, Director of Enterprise Data Quality & Data Quality Incident Management at Sumitomo Mitsui Banking Corporation, Datactics’ Chief Technology Officer Alex Brown, Asset Control’s Head of Product Management Neil Sandle, and Element 22 Partner Mark Davies, A-Team Group is delighted to present a compelling discussion on one of the most important issues for the industry today.

Click here to access the recording.

Related content

WEBINAR

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...

BLOG

Observational Learning Boosts Data Quality, Improves Reconciliations, Cuts Costs of Exceptions

Large data volumes and manual data validation techniques are making it difficult for firms to achieve levels of data quality required to support seamless transaction processing and regulatory reporting. The problem is exacerbated by MiFID II and other emerging regulations that impose new processes on transaction reporting, including reconciliation of transactions from the trade repository...

EVENT

Data Management Summit London

The Data Management Summit Virtual explores how financial institutions are shifting from defensive to offensive data management strategies, to improve operational efficiency and revenue enhancing opportunities. We’ll be putting the business lens on data and deep diving into the data management capabilities needed to deliver on business outcomes.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...