Self-Service Data Quality

Data Quality fundamentals driving valuable Data Insights in Insurance

what is driving the demand for self service data quality in insurance

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 …

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The Changing Landscape of Data Quality

changing landscape of data quality, the drivers and benefits of a holistic self service data quality platform

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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Introducing SSDQ: Centralise and standardise data quality processes without programming or coding

SSDQ

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 / …

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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 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 …

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Datactics launches new website: Democratising Data Quality

Website launch

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 …

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Facing Down Practical Challenges of a Data Management Programme

child contemplates a staircase

“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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Data Governance or Data Quality: not always a ‘chicken & egg’ problem

chicks, egg, hatched

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 …

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No-code & Lo-code: A Lighter Way To Enjoy Tech?

chocolate mousse, food, dessert

It might be the fact that home working = greater access to the chocolate supplies, but 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 chocolate? Technology, I mean technology.  The lo-code no-code …

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Explainable AI with Dr. Fiona Browne

explanin

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 explaining …

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Self-Service Data Quality for DataOps

Vision

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 …

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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 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 …

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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 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 …

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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 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 comply with regulations. With so …

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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 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 …

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Datactics wins Best Data Quality Analysis Tool at Data Management Insight Awards 2019

Belfast, London, New York, Toronto, Milan, 6th December 2019 We are delighted to announce that we are the winners of the Best Data Quality Analysis Tool at the Data Management Insight Awards. With more votes this year that any past editions, these are the most prestigious awards in the Data Management industry and we are …

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