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 […]
Data quality refers to how fit your data is for serving its intended purpose. Good quality data should be reliable, accurate and accessible.
What is Data Quality and why does it matter? Read More »
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
Data Health: Why does it matter? | Luca Rovesti Read More »
Making the right judgement calls on data strategy is something that all data leaders have to face, knowing the importance of reducing the risk of bad data across the organisation. In this blog, we delve deeper into the main points that our clients are considering when evaluating how to address the challenge of data risk.
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
DMI: How to establish data quality and data governance for analytics | 22/04 Read More »
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
How To Reduce Your Time Spent On Data Quality Down From Three Weeks To Three Hours Read More »
“I just can’t rely on the data being good enough”… it’s so often the cry of the frustrated business user. Nobody is doubting the ambitions of business teams when it comes to doing more with their data, but being hampered by duplication, inconsistencies and gaps really takes the wind out of their sails. Is it
Three Unexpected Benefits Of Cleaning Your Data Read More »
Many data management professionals have some form of tooling or platform to support their business initiatives but often find it hard to get buy-in for why they still need to invest time and resources in this area. In a recent post by data management blogger Henrik Liliendahl on the passing of Larry English, he refers
Data Quality, Didn’t We Do That Already? Read More »
Data quality and matching specialists add top title from A-Team Data Management Insight to recent major client wins and close out 2020 on a high New York, Amsterdam, London, Belfast, December 4th 2020 Datactics has won the Data Quality Analysis Tool award from A-Team Group for the second year running, closing out a successful 2020
2020 Win Makes It Two In A Row For Datactics Self-Service Data Quality Read More »
Welcoming our two new apprentices We kicked off the week by announcing the exciting news that two new apprentices from the Belfast Met have joined our DevOps team. The firm has now grown by 25% since March 2020 and approaching 130% over the past two years, in response to rapidly growing customer demand. The new recruits, Natalia Walsh and Victoria Wallace, will balance their four days
Last September, Kieran Seaward, our Head of Sales, delivered a keynote at the virtual DMS USA on a data powered economy. In his keynote he unpacked: The impact of COVID on shifting business priorities, focussing on how existing data management processes and data architectures have changed – as well as problems encountered along the way
Data will power the next phase of the economy: DMS USA lookback – Part 1 Read More »
Recently we partnered with the EDM Council on a video that investigates the application of AI to data quality and matching. In this EDM Talk, we lift the lid on how our AI team is developing solutions to help our clients, especially in the area of entity matching and resolution. This plays an important role in on-boarding, KYC and obtaining a single
EDM Talks: Lifting the lid on the problems that Datactics solves 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 /
At the recent A-Team Data Management Summit we held a giveaway competition for the chance to win an independent bookstore voucher – £100 to Daunt Books in London, or $100 to Strand Book store in NYC. We asked data management professionals attending the event to give their biggest data quality or matching challenge. Below you can find a summary of
Biggest Data Quality or Matching Challenge? Here are the answers! Read More »
A few years ago, Heineken broadcast a classic Elephant-in-the-room advert where various groups of utility construction workers all agree to carry out their work at the same time, to “save digging up the road again and causing the public more inconvenience.” It’s probably the dream of every road-weary traveller encountering another set of roadworks on
Part 4: Making The Data Governance Model deliver real-world results Read More »
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 »
With an increased demand for data, and with technology such as 5G making more information available than ever before, the risk that bad data presents is becoming increasingly common and dangerously frequent. Issues such as data duplication, missing data and ultimately the misuse of data cause a range of technology-driven problems; on the human side,
What is the cost of bad data? Read More »
I have recently joined the marketing team at Datactics and one thing I know for sure: generating accurate insights is critical for wealth and asset managers. Amongst avidly listening for soundbites during the webinar (and replaying a thousand times after to grab the best bits), The Future Proof Operating Models webinar was always going to
Why Future-Proofing Data Management Operating Models Is Key To Success Read More »
With Snowflake connectivity, SQL rule wizard and the ability to bulk assign data quality breaks, ADQ 1.4 makes end-to-end data quality management even easier.
