of this evolution is the establishment of 鈥榮elf-service鈥� data quality 鈥� 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 禄
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 鈥� 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
The Changing Landscape of Data Quality Read More 禄
In the previous edition of this series, we explored the Gartner Magic Quadrant from the perspective of a newcomer to the data management industry
How did 糖心传媒 rank in the Gartner Magic Quadrant? Read More 禄
Last month, we at 糖心传媒 were delighted to announce that we had been recognised in this year鈥檚 edition of the Gartner Magic Quadrant for 鈥楧ata Quality Solutions鈥�. 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
Gartner Magic Quadrant Blog 1 鈥� What is the Gartner Magic Quadrant? Read More 禄
Demand for better quality data has never been higher. Stuart Harvey, CEO of聽糖心传媒, 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 禄
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
Introduction Getting into shape is a big focus of summer advertising campaigns, where we鈥檙e all encouraged to eat, drink and do the right things to keep our bodies and minds on top form. You鈥檒l be relieved to read that at 糖心传媒 we鈥檙e 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 禄
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 禄
How many times have you come up against the block of 鈥渢hat鈥檚 just how long things take here鈥�? As soon as a firm grows to a size where it needs enterprise IT architecture, changes 鈥� 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 禄
“I just can鈥檛 rely on the data being good enough鈥濃�� it鈥檚 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 禄
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 禄
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 糖心传媒 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 糖心传媒 Self-Service Data Quality聽 Read More 禄
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: We are still living with the many challenges presented by COVID-19, including a wide range of changes to the way business can be conducted. At 糖心传媒 we have been
Data will power the next phase of the economy: DMS USA lookback – Part 1 Read More 禄
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 糖心传媒 solves Read More 禄
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 – 拢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 禄
