We are currently in an exciting area and time, where Machine Learning (ML) is applied across sectors from self driving cars to personalised medicine. Although ML models have been around for a while – for example, the use of algorithmic trading models from the 80’s, Bayes since 1700s – we are still in the nascent […]
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Data in a Changing World The Insurance industry traditionally uses data to inform decision-making and manage growth and profitability across marketing, underwriting, pricing and policy servicing processes. However, like most established financial institutions, insurance companies have many data repositories and different teams managing analytics functions. Traditionally, they also struggle to share this information or communicate
Data Quality fundamentals driving valuable Data Insights in Insurance Read More »
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.
Key Features a Self-Service DQ Platform Should Have Read More »
The drivers and benefits of a holistic, self-service data quality platform | Part 1 Change There has been increasing demand for higher and higher data quality in recent years – highly regulated sectors, such as banking have had a tsunami of financial regulations such as BCBS239, MiFID, FATCA, and many more stipulating or implying exacting
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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.
Using Self-Service Data Quality to Gain an Edge Read More »
What does the self-service data quality (SSDQ) platform do? It empowers data owners and SMEs to measure and maintain data quality themselves in line with governance policies. SSDQ is already adding value at multiple investment and retail banks, wealth managers, and data vendors helping them to: Achieve end-to-end holistic data quality management Measure data against industry-standard dimensions and regulations Empower data stewards /
The route to better data quality – It’s easy to say that planning a journey has been made far simpler since the introduction of live traffic information to navigation apps. You can now either get there faster, or at the very least phone ahead to explain how long you’ll be delayed. It’s just as easy
Part 2: Self-service data improvement is the route to better data quality Read More »
Belfast, London, New York, 28th September 2020 We are delighted to announce the launch of our brand new website! Our Marketing team has spent the summer working on a major revamp of the site, designed to make it easy for people to find information on our self-service data quality solutions, and the award-winning technology they’re built
Datactics launches new website: Democratising Data Quality Read More »
“Nobody said it was easy” sang Chris Martin, in Coldplay’s love song from a scientist to the girl he was neglecting. The same could be said of data scientists embarking on a data management programme! In his previous blog on Good Data Culture, our Head of Client Services, Luca Rovesti, discussed taking first steps on
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In this blog with Datactics’ Head of Sales, Kieran Seaward, we dive into market insights and the sometimes-thorny issue of where to start. Data Governance or Data Quality is a problem data managers and users will fully understand, and Kieran’s approach to this is influenced by thousands of hours of conversation with people at all
Data Governance or Data Quality: not always a ‘chicken & egg’ problem Read More »
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 Quality, and whether they really are a lighter way to enjoy technology? The lo-code no-code paradigm can be a bit like Marmite. Some people say that it’s great, it gets the job done, and these are
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The AI team at Datactics is building explainability from the ground up and demonstrating the “why and how” behind predictive models for client projects. Matt Flenley prepared to open his brains to a rapid education session from Dr Fiona Browne and Kaixi Yang. One of the most hotly debated tech topics of 2020 concerns model
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AI Bias Every now and then a run-of-the-mill activity makes you sit up and take notice of something bigger than the task you’re working on, a sort of out-of-body experience where you see the macro instead of the micro. Yesterday was one such day. I’d had a pretty normal one of keeping across all the
AI Bias – The Future is Accidentally Biased? Read More »
At the recent A-Team Data Management Summit Virtual, Datactics CEO Stuart Harvey delivered a keynote on “Self-Service Data Quality for DataOps – Why it’s the next big thing in financial services.” The keynote (available here) can be read below, with slides from the keynote included for reference. Should you wish to discuss the subject with
Self-Service Data Quality for DataOps Read More »
At last week’s Virtual Data Management Summit, the A-Team’s CEO Angela Wilbraham sat down for a Q&A on all things data quality and unlocking data value with our Head of Sales Kieran Seaward. Topics covered in this interview are: – The biggest issues in data management right now (0:31) – Why data quality is such
Unlocking Data Quality and Value to Power Innovation & Insight Read More »
As featured in the recent A-Team webinar, we’ve been strong advocates of a self-service approach to data quality (SSDQ), especially when it comes to regulated data types and wide-ranging demands on a firm’s data assets. This whitepaper SSDQ, authored by our CTO Alex Brown, goes deeper into the reasons why this approach is so much
Beyond data prep – Whitepaper SSDQ Read More »
Chief Technology Officer, Alex Brown featured as a panellist in Data Management Insight’s webinar discussing the best practices for creating a data quality framework within your organisation. What is the problem? A-Team Insight outlines that ‘bad data affects time, cost, customer service, cripples decision making and reduces firms’ ability to manage data and comply with
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You might have missed this highly informative report from the European Banking Authority (EBA) – because the title didn’t contain the popular buzzwords of Artificial Intelligence – AI or Machine Learning – ML (nor does the front cover have a picture of a robot!). But for anyone who is trying to understand the challenges ahead for AI and
Why you should read the European Banking Authority report on AI and Big Data Read More »
