The Importance of Data Quality in Machine Learning
We are currently in an exciting area and time, where Machine Learning (ML) is applied across sectors from self driving […]
Self-Service Data Quality
Data Quality fundamentals driving valuable Data Insights in Insurance
Data in a Changing World The Insurance industry traditionally uses data to inform decision-making and manage growth and profitability across
Key Features a Self-Service DQ Platform Should Have
of this evolution is the establishment of ‘self-service’ data quality – whereby data owners and SMEs have ready access to robust tools and processes, to measure and maintain data quality themselves, in accordance with data governance
policies.
The Changing Landscape of Data Quality
The drivers and benefits of a holistic, self-service data quality platform | Part 1 Change There has been increasing demand
Using Self-Service Data Quality to Gain an Edge
Demand for better quality data has never been higher. Stuart Harvey, CEO of Datactics, writes that self-service data quality could be the key that unlocks significant competitive advantage for financial firms.
Introducing SSDQ: Centralise and standardise data quality processes without programming or coding
What does the self-service data quality (SSDQ) platform do? It empowers data owners and SMEs to measure and maintain data quality themselves in
Part 2: Self-service data improvement is the route to better data quality
The route to better data quality – It’s easy to say that planning a journey has been made far simpler
Datactics launches new website: Democratising Data Quality
Belfast, London, New York, 28th September 2020 We are delighted to announce the launch of our brand new website! Our Marketing
Tackling Practical Challenges of a Data Management Programme
“Nobody said it was easy” sang Chris Martin, in Coldplay’s love song from a scientist to the girl he was
Data Governance or Data Quality: not always a ‘chicken & egg’ problem
In this blog with Datactics’ Head of Sales, Kieran Seaward, we dive into market insights and the sometimes-thorny issue of
No-code & Lo-code: A Lighter Way To Enjoy Tech?
In this article with Datactics CTO Alex Brown, Matt Flenley asks about the nature of no-code and lo-code platforms like Datactics’ Self-Service Data
Explainable AI with Dr. Fiona Browne
The AI team at Datactics is building explainability from the ground up and demonstrating the “why and how” behind predictive
AI Bias – The Future is Accidentally Biased?
AI Bias Every now and then a run-of-the-mill activity makes you sit up and take notice of something bigger than
Self-Service Data Quality for DataOps
At the recent A-Team Data Management Summit Virtual, Datactics CEO Stuart Harvey delivered a keynote on “Self-Service Data Quality for
Unlocking Data Quality and Value to Power Innovation & Insight
At last week’s Virtual Data Management Summit, the A-Team’s CEO Angela Wilbraham sat down for a Q&A on all things
Beyond data prep – Whitepaper SSDQ
As featured in the recent A-Team webinar, we’ve been strong advocates of a self-service approach to data quality (SSDQ), especially
Best Practices For Creating a Data Quality Framework
Chief Technology Officer, Alex Brown featured as a panellist in Data Management Insight’s webinar discussing the best practices for creating
Why you should read the European Banking Authority report on AI and Big Data
You might have missed this highly informative report from the European Banking Authority (EBA) – because the title didn’t contain the