Data Quality

Outlier Detection – What Is It And How Can It Help In The Improvements Of Data Quality? 

Outlier Detection

Identifying outliers and errors in data is an important but time-consuming task. Depending on the context and domain, errors can be impactful in a variety of ways, some very severe. One of the issues with detecting outliers and errors is that they come in many different forms. There are syntactic errors, where a value like …

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The Importance of Data Quality in Machine Learning

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 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 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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Gartner Magic Quadrant Blog 1 – What is the Gartner Magic Quadrant?

gartner, what is the magic quadrant

Last month, we at Datactics were delighted to announce that we had been recognised in this year’s edition of the Gartner Magic Quadrant for ‘Data Quality Solutions’. This is a remarkable achievement for everyone associated with the company, as we make our first appearance on the quadrant, gaining industry recognition for our sophisticated technology and …

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Rules Suggestion – What is it and how can it help in the pursuit of improving data quality?  

rules suggestion

Written by Daniel Browne, Machine Learning Engineer Defining data quality rules and collection of rules for data quality projects is often a manual time-consuming process. It often involves a subject matter expert reviewing data sources and designing quality rules to ensure the data complies with integrity, accuracy and / or regulatory standards. As data sources …

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Data Health: Why does it matter? | Luca Rovesti

data health why does it matter

Introduction  Getting into shape is a big focus of summer advertising campaigns, where we’re all encouraged to eat, drink and do the right things to keep our bodies and minds on top form. You’ll be relieved to read that at Datactics we’re far more concerned about the health of your data, so open that packet of cookies, pour yourself …

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Easy Integration, Quick Results and Empowering Data People are Top 3 Priorities To Reduce Bad Data Risk

Easy Integration, quick results and empowering data people

Making the right judgement calls on data strategy is something that all data leaders have to face. Whether it’s at investment banks in Europe, information vendors in the USA or wealth managers in the UK, we know how important it is to reduce the risk of bad data across the organisation. In this blog we …

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How You’ll Know You Still Have a Data Quality Problem

The dashboards might be (mostly) green, the regulatory reports are being filed ok, but you’re looking around you and you’ve got a nagging feeling all is still not well with your data. Sound familiar? You’re not alone. In this blog we’ve taken a look at some of the most influential factors that indicate you’ve got …

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DMI: How to establish data quality and data governance for analytics | 22/04

data management insight

Data quality has been a perennial problem for financial institutions for many years, but this needs to change as firms become increasingly reliant on accurate analytics to deliver business opportunity and competitive advantage. New approaches to data quality can help firms up their game and significantly improve their analytics capability. Adding the processes, controls and …

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How To Reduce Your Time Spent On Data Quality Down From Three Weeks To Three Hours

How many times have you come up against the block of “that’s just how long things take here”? As soon as a firm grows to a size where it needs enterprise IT architecture, changes – understandably – need to have greater scrutiny, and that takes time. Time, however, is a double-edged sword. If a change …

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