London, 14th March 2025

Ģ������Ƶ has developed a digital data validation sandbox for the Financial Services Compensation Scheme (FSCS) designed to help assess data systems and processes prior to regulatory audits.

, a leading international financial services provider, adheres to multiple regulatory standards, including those set by the FSCS, which protects depositors by guaranteeing savings of up to £85,000 per person if a regulated firm is unable to meet claims.

The Prudential Regulation Authority (PRA) conducts regular assessments of Investec’s compliance with the FSCS rules, which necessitates quick access to accurate data.

The Ģ������Ƶ sandbox is designed to help streamline Investec’s data management processes, focusing on data quality to prepare for these assessments. The sandbox has features such as rule matching, data categorisation, and data de-duplication to support compliance with FSCS regulations.

Cherie Lefever, FSCS Coordinator in Investec’s UK Central Compliance Team, has developed rules and exceptions to expedite data management and meet the PRA’s auditing requirements efficiently.

Cherie Lefever stated: “Streamlined data is crucial for complying with the PRA’s Depositor Protection Rules. The collaboration with Ģ������Ƶ has further simplified our data management processes, allowing us to ensure we maintain high standards of data quality and integrity.”

Stuart Harvey, CEO of Ģ������Ƶ, commented: “Financial institutions like Investec manage vast amounts of client and internal data, necessitating robust data management, governance, and quality capabilities. With the FSCS requiring regular audits, access to streamlined data management tools enhances banks’ readiness for these assessments. Our digital sandbox solution empowers firms to evaluate their data systems in preparation for regulatory audits.”

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Ģ������Ƶ, a leader in data quality software has achieved ISO 27001:2022 Certification for Information Security Management System.

The ISO 27001 certification is recognised globally as a benchmark for managing information security. The rigorous certification process, conducted by and , involved an extensive evaluation of Ģ������Ƶ’ security policies, procedures, people, and controls. Achieving this certification demonstrates Ģ������Ƶ’ dedication to safeguarding client data and maintaining information assets’ integrity, confidentiality, and availability.

Victoria Wallace, Senior DevOps & Security Specialist, stated: “Security is at the heart of everything that Ģ������Ƶ does and achieving ISO 27001:2022 certification is a testament to the team’s unwavering commitment in this technical field. Showcasing the extensive work that went into this prestigious achievement proves that dedication and determination can lead to significant success, both within Ģ������Ƶ and across our client ecosystem. Achieving and maintaining this certification is a key part of Ģ������Ƶ’ progress in enhancing our secure, process-driven, and powerful data quality platform.”

Tom Shields, Cyber & Information Security Consultant at Vertical Structure, said “It was a pleasure working with the team at Ģ������Ƶ. Their enthusiastic approach to ISO 27001 Information Security and the associated business risk mitigation was evident in every interaction. Involvement from top to bottom was prioritised from day one, allowing us to integrate into their team from the very outset. The opportunity to guide such organisations in certifying to ISO 27001 is a privilege for us, and we look forward to continuing to work alongside their team in the future.

About ISO 27001:2022 Certification

Ģ������Ƶ’ accreditation has been issued by , a leading global independently accredited certification body. NQA has provided assessments (audits) of organisations to various management system standards since 1988.

Founded in 2006, is an independent cyber security consultancy with a ‘people-first’ approach. Vertical Structure specialises in providing people-focused security and penetration testing services for web applications, cloud infrastructure and mobile applications.

Vertical Structure also conducts technical security training, helping companies to achieve certification to international standards such as ISO 27001, Cyber Essentials and CAIQ and are proud to be an Amazon Web Services® Select Consulting Partner.

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Belfast, Northern Ireland – 5th April, 2024 – Ģ������Ƶ, a leading provider of data quality and matching software, has been recognised in the 2024 Gartner Magic Quadrant for Augmented Data Quality Solutions for a third year running.����

Gartner included only 13 data quality vendors in the report, where Ģ������Ƶ is named a Niche Player. Ģ������Ƶ’ Augmented Data Quality platform (ADQ) offers a unified and user-friendly experience, optimising data quality management and improving operational efficiencies. By augmenting data quality processes with advanced AI and machine learning techniques, such as outlier detection, bulk remediation, and rule suggestion, Ģ������Ƶ serves customers across highly regulated industries, including financial services and government.

In an era where messy, unreliable and inaccurate data poses a substantial threat to organisations, the demand for data quality solutions has never been greater. Ģ������Ƶ stands out for its user-friendly, scalable, and highly efficient data quality solutions, designed to empower business users to manage and improve data quality seamlessly. Its solutions leverage AI and machine learning to automate complex data management tasks, thereby significantly enhancing operational efficiency and data-driven decision-making across various industries. 

“We are thrilled to be included in the 2024 Gartner Magic Quadrant for Augmented Data Quality Solutions,” said Stuart Harvey, CEO of Ģ������Ƶ. “Our team’s dedication and innovative approach is solving the complex challenges of practical data quality for customers across industries.

We believe the report significantly highlights our distinction from traditional observability solutions, showcasing Ģ������Ƶ’ focus on identifying, measuring and remediating broken data. We are committed to assisting our clients to create clean, ready-to-use data via the latest techniques in AI and have invested heavily in automation to reduce the manual effort required in rule building and management while retaining human-in-the-loop supervision. It is gratifying to note that Gartner recognises Ģ������Ƶ for its ability to execute and completeness of vision.”

Ģ������Ƶ’ solutions are designed to empower data leaders to trust their data for critical decision-making and regulatory compliance. For organisations looking to enhance their data quality and leverage the power of augmented data management, Ģ������Ƶ offers a proven platform that stands out for its ease of use, flexibility, and comprehensive support. 

Magic Quadrant reports are a culmination of rigorous, fact-based research in specific markets, providing a wide-angle view of the relative positions of the providers in markets where growth is high and provider differentiation is distinct. Providers are positioned into four quadrants: Leaders, Challengers, Visionaries and Niche Players. The research enables you to get the most from market analysis in alignment with your unique business and technology needs.

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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This innovative solution makes faster and more efficient AI-powered data quality accessible and beneficial to all, through an enriched user interface and more expansive implementation of machine learning functions throughout.

ADQ covers the full spectrum of end-to-end data quality management. The platform provides data profiling, cleaning, matching, and remediation without the need for coding, and leverages the power of AI to provide meaningful data quality insights on data breaks, causes, and detecting outliers.

In today’s data-driven world, enterprises face the challenge of maintaining high-quality data across the organisation and ensuring that critical data is easily accessible to governance professionals. ADQ eliminates potential delays in data remediation workflows by using greater automation and no-code tooling, thereby reducing manual effort and increasing accuracy.

ADQ seamlessly integrates with data catalogues and lineage systems such as Alation and Solidatus, accommodating both cloud-only and hybrid data architectures. This interoperability ensures that customer data management ecosystems remain harmonious and efficient.

The release of ADQ unveils a range of machine learning extensions that will allow customers of Ģ������Ƶ to deliver data quality improvements faster, more efficiently, and with maximum business impact. Users will benefit from improved profiling, including outlier detection and automated rule suggestion. Additionally, ADQ includes a new feature called ‘Insights Hub’ which allows customers to benefit from the long histories of data quality ‘break/fix’ activities and to perform analysis into which remediations are having the most substantial business impact.

Ģ������Ƶ CEO Stuart Harvey says,

“ADQ makes use of the power of machine learning in a very practical way that will help a data governance professional do their job faster and better. ADQ can improve data quality time to value for an analyst struggling to choose the most efficient rules for complex data via automated rule suggestion.

Likewise, having created rules to measure and remediate broken data, ADQ can be used to further root cause analysis by understanding whether data quality improvements are making a difference over time. All of this can be done without deep technical expertise on behalf of the ADQ user. We have several international clients already using the system live, and we look forward to rolling out to new and existing customers throughout 2023 and into 2024.”

For further information about Ģ������Ƶ’ latest innovation, please visit www.datactics.com or

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Ģ������Ƶ has been awarded the Bronze Diversity Mark Accreditation for its efforts in championing Diversity, Equality and Inclusion (DEI) in the workplace. 

Diversity Mark, established by Women in Business NI, helps businesses across the UK and Ireland build more diverse and inclusive workplaces, through accreditation, insights, best practice and peer support. Evaluated by an independent assessment panel, Ģ������Ƶ has achieved Bronze Award, which marks the beginning of the organisation’s journey in advancing diversity and inclusion.

Ģ������Ƶ Head of People, Elspeth Flenley, said:

“Achieving this award hot on the heels of International Women’s Day feels befitting. We have long championed the role of women in the workplace, especially in technology companies, and securing this award demonstrates our longstanding commitment to a diverse workforce. It marks the start of a continual process of action and review and provides us with a solid framework to demonstrate progress against our DEI ambitions at Ģ������Ƶ.” 

Recognising Ģ������Ƶ’ ambitions, Nuala Murphy, Director at Diversity Mark said:

“We are delighted that Ģ������Ƶ has been awarded the Bronze Diversity Mark Accreditation for its commitment to advancing Equality, Diversity and Inclusion in the workplace. Our independent assessment panel applauded Ģ������Ƶ’ forward thinking attitude in relation to culture within the organisation. Huge congratulations to all the team on this robust achievement.”

About Ģ������Ƶ:

Ģ������Ƶ is an award-winning, Belfast-based tech company with a team of over 70, providing AI-augmented data quality and matching software to a growing number of international clients across industries. Solutions are data-agnostic and offer interoperability with data lineage, governance, and metadata management tools, especially critical in the deployment of data fabric and data mesh architectures. Ģ������Ƶ received Investors in People Gold accreditation in March 2022, having propelled from Bronze. Twelve months later, they secured additional recognition in the Diversity Mark Bronze Award.

About Diversity Mark:

The Diversity Mark was the first accreditation of its kind and was developed with the support of businesses that were committed to building more diverse and inclusive workplaces. The accreditation was officially launched in September 2017. Within 3 years, over 80 progressive companies from all business sectors had signed the Charter and are committed to transforming workplace culture and attitudes for good.

Diversity Mark offers accreditation, expert support, and guidance to organisations that are navigating the Diversity and Inclusion (D&I) landscape. It is the only accreditation where award applications and annual reports are assessed independently by assessors. Their assessment process is highly robust and, as such, is held in high regard as a mark of progress for DEI. 

For more from Ģ������Ƶ, find us on ,  or .

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Ģ������Ƶ, an award-winning self-service data quality and matching software vendor and Solidatus, the leading data lineage discovery, visualisation and management solution, are today announcing a new technology partnership.

The partnership will see clients able to leverage the combined capabilities of the two firms to visualise and understand data quality throughout the enterprise, without being tied to one single enterprise data governance and quality platform. This provides greater flexibility to firms exploring their data governance strategies, empowering them to make use of ‘best of breed’ technology that aligns with their business operational models.

Additionally, the partnership aligns well with industry definitions of a data fabric, complementing specialist off-the-shelf data software with own-built technology stacks.

Ģ������Ƶ and Solidatus were delighted to both win awards at the Data Management Insight Awards Europe 2022 – a testament to our respective technology teams. Solidatus won ‘Best Data Governance Solution’ and Ģ������Ƶ won ‘Best Data Quality Analysis Tool’. You can read the full winners report .

Ģ������Ƶ CEO, Stuart Harvey commented,

“By combining Ģ������Ƶ’ Self-Service Data Quality, a platform that identifies broken critical data elements and returns them to a data steward for fixing or automatic correction, and Solidatus’ superior data lineage visualisation, the client gains a unique, reliable, and high-quality insight into their data. It will empower them to make better decisions, prioritise and fix key data quality issues, and address the negative impact of poor data quality wherever the data resides or flows throughout the enterprise.”

Solidatus CEO, Phil Dutton said,

“This partnership underlines our vision to revolutionise the data economy. Our commitment to lead market-disrupting innovation and first-class service is something we prioritise in all our partnerships and we’re eagerly looking forward to the opportunities this new relationship will bring, particularly in the fast-growing demand for best-in-class data fabric architecture.”

For more information please contact:

Roisin Floyd

roisin.floyd@datactics.com

+44 (0) 2890 233900

About Ģ������Ƶ

Ģ������Ƶ offers a self-service, low-code data quality platform for non-technical users by providing AI/ML-driven automation in many data quality processes, especially in data profiling, monitoring and detection, and entity matching. ML augmentation includes auto suggestion of data quality rules based on analysis of the underlying dataset and many different prebuilt algorithms for outlier detection.

For more information please contact:

Solidatus press office
press@solidatus.com

Website

About Solidatus

Solidatus is an innovative data management solution that empowers organizations to connect and visualize their data relationships, simplifying how they identify, access, and understand them. With a sustainable data foundation in place, data-rich enterprises can meet regulatory requirements, drive digital transformation, capture business insights, and make better, less risky and more informed data-driven decisions. We provide solutions to several key areas of endeavour, including: governance and regulatory compliance; data risk and controls; business integration; environment, social, governance (ESG); and data sharing. Our clients and investors include top-tier global financial services brands such as Citi and HSBC, healthcare, and retail organizations as well as government institutions.

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Ģ������Ƶ has won ‘Best Data Quality Analysis Tool’ at A-Team Group’s Data Management Insight Awards 2022 for its innovative Self Service Data Quality (SSDQ) platform. The awards, now in their tenth year, recognise leading providers of data management solutions, services and consultancy to capital markets participants within Europe. This is the fourth consecutive year that Ģ������Ƶ has been recognised for its business user focused technology, as voted for by their customers.  

Stuart Harvey, CEO at Ģ������Ƶ, commented that, 

“We’re really pleased that we have received recognition for being an industry-leading data quality solution provider. Winning this award reflects our ongoing investment in our AI driven capabilities in order to provide our customers with greater automation of data quality tasks, including data cleansing, profiling and matching.  

“It’s brilliant to be nominated amongst best-in-class data quality solutions and we’d like to thank all those who voted for us. We look forward to further developing our Self Service Data Quality product offering in 2023 as an indispensable partner to our clients’ data quality ambitions.” 

Angela Wilbraham, CEO at A-Team Group and host of the Data Management Insight Awards Europe 2022, commented: “These awards recognise leading providers of data management solutions, services and consultancy to capital markets participants in Europe.  Many congratulations to Ģ������Ƶ for winning Best Data Quality Analysis Tool, they should be deservedly proud of their achievement in a closely fought and highly competitive contest.” 

About Ģ������Ƶ:  

Ģ������Ƶ provides business user-focused, no-code data quality and matching tools helping financial firms gain value from their data and reduce regulatory risk. Its award-winning platform integrates with multiple data sources, governance, and lineage systems with intelligent automation. It allows Chief Data Officers and senior data leaders to measure, report and fix their data, and match across multiple internal and external sources and systems. Using AI, the platform significantly reduces the manual effort required to make decisions, with full transparency. For more information or to book a demo please contact us.����

For more information on how Ģ������Ƶ’ Self-Service Data Quality platform can add value to your business please contact  

And for more from Ģ������Ƶ, find us on , or  

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Ģ������Ƶ provides AI-augmented self-service data quality and matching software, empowering CDOs, CIOs and data leaders to rapidly measure, match, report and fix data assets. Solutions are data-agnostic and offer interoperability with data lineage, governance and metadata management tools, especially critical in the deployment of data fabric and data mesh architectures.����

According to Gartner, “Magic Quadrant reports are a culmination of rigorous, fact-based research in specific markets, providing a wide-angle view of the relative positions of the providers in markets where growth is high and provider differentiation is distinct. Providers are positioned into four quadrants: Leaders, Challengers, Visionaries and Niche Players. The research enables you to get the most from market analysis in alignment with your unique business and technology needs.”

Stuart Harvey, CEO comments that,

“We’re delighted to be recognised in Gartner Magic Quadrant for Data Quality Solutions 2022. In the last year, we’ve invested in expanding our development and ML teams, which has enabled us to enhance our product roadmap with AI driven capabilities and provide further automation for our customers.

At Ģ������Ƶ, we’re proud to be a ‘best of breed’ solution. However, we recognise the need to be interoperable with other data management tools and therefore have prioritised data integration and strategic partnerships with other leading lineage and catalog vendors as a key element of our delivery process in the last twelve months. Through an abundance of connectivity options available in the Ģ������Ƶ platform, we can integrate with existing systems and vendors in order to make it easier for businesses to establish a sustainable Data Fabric and deliver ready-to-use data throughout the enterprise.”

Download a complimentary copy of the Magic Quadrant report to learn more about Ģ������Ƶ Self-Service Data Quality platform here.

disclaimer

Gartner, Magic Quadrant for Data Quality Solutions, Ankush Jain, Melody Chien, 1 November 2022.

GARTNER and MAGIC QUADRANT are registered trademarks and service marks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Ģ������Ƶ

Ģ������Ƶ, a leading and innovative provider of solutions in the data quality solutions market is headquartered in Belfast and offers expertise worldwide. Learn more information at /.

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Ģ������Ƶ, an award-winning self-service data quality and matching software vendor based in Belfast, UK, and MANTA , a world class data lineage platform, are today announcing a new technology partnership.

The integration with MANTA will see clients able to leverage the combined capabilities of the two firms to visualise data quality in-motion, without being tied to one single enterprise data governance and quality platform. This provides more options to firms exploring their data governance strategies, seeking to make use of ‘best of breed’ technology that aligns with their business operational models and user profiles, especially in the context of data in motion.

MANTA’s unique automated lineage capabilities enables enterprises to achieve a complete and comprehensive view of their data. The award-winning data lineage platform automatically scans an organisation’s data environment to build a map of the data ‘in-motion’, as it flows between various sources and transformations, displaying a holistic view of the data to both technical and non-technical users.

Ģ������Ƶ’ customers will benefit from the new partnership in addressing complexities around data in motion, by leveraging MANTA’s  lineage capabilities alongside Ģ������Ƶ data quality and matching expertise through their Self-Service Data Quality platform.

Ģ������Ƶ CEO, Stuart Harvey commented,

“As data management requires advanced capabilities at every turn, business users are finding that they need a reliable overview of their data as it flows through their organisation, from where it started to where it ended. This integration with MANTA’s data lineage platform will enable our customers to gain increased visibility around their enterprise data. By combining Ģ������Ƶ’ Self-Service Data Quality, a platform that identifies broken critical data elements and returns them to a data steward for fixing or automatic correction, and MANTA’s data lineage visualisation, the client will be empowered to make better decisions, prioritise and fix key data quality issues, and address the negative impact of poor data quality.”

Stuart Harvey

MANTA representative, Ernie Ostic, SVP of Product  said,

“With this partnership, Ģ������Ƶ and MANTA will increase visibility into what happens to data as it moves through the enterprise. We look forward to working together to provide customers with the ability to measure data quality in the context of their data pipelines and thus establish more accurate priorities for application of their data quality rules.”

Ernie Ostic

For more information, get in touch with or today.

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Ģ������Ƶ won the A-Team Innovation award for the creation of Rapid Match, a system which allowed financial analysts to understand the geographical allocation of financial loans made by UK government during the 2020/21 Covid crisis augmented with a breakdown of industry type.  ��

Ģ������Ƶ was selected and funded by Innovate UK to investigate the use of its self-service platform to solve a challenge for information analysts: How does an organization reduce time in wrangling data to make it fit for good quality analytics? The firm has reported that it has been regularly asked this question by clients spending too much time on manual preparation of data and seeing little return on investment (ROI) for their efforts. 

The Ģ������Ƶ solution focused on challenges associated with data preparation when an organisation seeks to create rapid data analytics but is faced with disparate data sources, (often stored in different formats), siloed information and poor underlying data quality.  &�Բ�����;

Summary of business benefits of the Ģ������Ƶ solution: 

• Addresses data quality and matching at scale challenges associated with joining large amounts of messy, incomplete data in varying formats, from a multiple sources​. 
• Provide a reliable ‘match engine’ allowing government and organisations to accurately and securely integrate diverse sources of data. 
• Automated and reproducible platform to ingest, cleanse and match and update datasets for downstream analysis. 
• Provides systematic, reproducible pipelines to address time consuming data quality, preparation and matching tasks to produce complete, high quality and timely data for decision making.

Ģ������Ƶ’ Head of Software Development, Dr Fiona Browne, who led the project said, 

“We were very aware that Companies House information is used in almost every KYC/AML system in the UK and we wanted to develop automated techniques for improving the quality of this information and to make it easy to ingest and to query. I’m glad to say that we achieved this ambition through building systematic, reproducible data quality pipelines that address time consuming tasks such as data wrangling and matching. We are augmenting our early work by looking at applications of machine learning and network analysis in this space for downstream tasks such as fraud detection and onboarding which are underpinned by data quality. ” &�Բ�����;

Read more from Dr Browne on how Ģ������Ƶ demonstrates rapid matching capabilities on open datasets.

In detail: How it works 

The system extracted information from multiple financial and geographical data sources and used automated data pipelines for preparing, scrubbing and matching multiple data types before presenting the data in a very easy to query dashboard. These pipelines are systematic and re-producible enabling the process to be re-run when datasets are updated, or new datasets added. &�Բ�����;

The process is transparent for auditability. Furthermore, the process provides a reliable ‘match engine’ allowing organisations to accurately and securely integrate diverse sources of data. A particular focus of the project was on using UK Companies House as a master source relating to company name/address validation and understanding the relationship between companies and their owners. A view of the resulting analytical dashboard is presented in Figure 1 below.  &�Բ�����;

 &�Բ�����;

Figure 1: Analytics Dashboard Screen for Rapid Match illustrating the breakdown of loans across industries in England  

Stuart Harvey, CEO of Ģ������Ƶ commented:

“Ultimately we wanted to prove that it was possible to create an easy-to-use solution in which a data team can address time-consuming data quality, preparation and matching tasks in order to create complete, high quality and timely data for decision making.

Rapid Match took advantage of existing strengths in the Ģ������Ƶ’ platform and added benefits from machine learning. We addressed data quality and matching at scale – joining large sets of messy data in varying formats from multiple sources. We implemented a reliable ‘match engine’ which allowed for fuzzy matching from these diverse sources. We made use of data op’s automation to ingest, clean and match data with minimum human input.

A key part of the challenge in building Rapid Match was seamless integration with Companies House information as a trusted data source. Companies House data is used in almost every KYC and AML process involving UK entities. It contains over 4 million companies updating information on 500,000 of these per year. Since it’s a fairly raw source of open data and many end users have significant challenges with data quality. The Ģ������Ƶ’ solution provided easy access to clean Companies House data via REST API and we used sophisticated network analysis to understand the relationship between companies and their owners.

We are grateful to Innovate UK for their support of this work and we’d welcome further opportunities to collaborate with clients or partners if our recent work in this area is of interest to you”.

Angela Wilbraham, CEO of the A-Team Group, who hosted the A-Team Innovation Awards 2022, commented, 

“Our A-Team Innovation Awards 2022 celebrate and reward those companies at the forefront of innovation within our industry. We congratulate Ģ������Ƶ in winning the Most innovative data quality initiative award in recognition of their excellence in driving forward progress in capital markets capabilities.” &�Բ�����;

To read more about the A-Team’s Innovation awards and view the full report of worthy winners, please take a look .

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We are pleased to announce that Ģ������Ƶ has been��selected as one of��22 UK Tech scale-ups for International Growth Programme into SEA and Australia.��

, the UK’s leading growth platform for tech scaleups, announces the 22 companies selected to join the second iteration of the International Growth Programme, made up of two cohorts, one focused on expansion into Southeast Asia and the other to Australia. The Southeast Asia programme is in partnership with Plug and Play, a global innovation platform headquartered in Silicon Valley. 

The four-month programme forms part of the UK Government’s export strategy for the tech sector and was created to accelerate the growth of the UK’s best tech scaleups into international markets. It also seeks to strengthen connections across the digital economy globally, ultimately creating jobs and economic growth both in the UK and internationally. 

The second cohort includes BankiFi, ChAI, Dyad, The Leadership Network, Heteronomics, Oxford Immune Algorithmics Ltd, PriceBeam, SquareBook, Wolf & Badger and Yoello. 

This programme will provide the opportunity for Ģ������Ƶ to establish relationships with prospects and partners in��South East��Asia as well as getting valuable market insight to support our expansion.��
��
We are delighted to be a part of this programme.��

Head of Marketing��said:��

“Since 2020, when we first started working with��Tech Nation,��we’ve been extremely encouraged by the quality of their approach to helping UK businesses flourish on an international stage. This programme will support our��work��in��securing further opportunities in SE Asia, engaging banks and��delivery partners��tasked with solving the tricky problem of getting��their��data��right��for digital transformation.”��

More about��the Tech��Nation International Growth Programme into SEA and Australia������

Press contact: Jamie Gordon 

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Ģ������Ƶ has once again been named as one of the fastest-growing tech companies in Deloitte’s annual rankings of firms on the island of Ireland. The ranking is based on revenue growth from 2017 to 2021, and this year saw Ģ������Ƶ finish 25^th, backed by strong financial performance and demand for its pure-play data quality solutions. 

The year also saw Ģ������Ƶ secure a £2m investment round, led by Par Equity, and grow to 60 employees – the majority of whom are based in the firm’s Belfast HQ. 

“We are really pleased at this news, coming after nearly two extremely unexpected years for everyone” said Matt Flenley, Head of Marketing at Ģ������Ƶ. “This year’s result is fuelled by a combination of factors driving growth right now. Firstly, we’re seeing many firms investing in digital transformation, which is underpinned by getting the data right. This is leading us into lots more opportunities to demonstrate how we’re the perfect partner for just that problem. 

“Secondly, approaches to data management strategies are being reimagined across a broad range of sectors, especially within sub-sectors of financial services. For example, senior data leaders in insurance aren’t simply looking for one IT-led platform to deliver their data governance strategy. They are instead choosing to orchestrate across a range of business-user-focused solutions, from lineage to catalogs and, of course, in the area of data quality. 

“We’d like to thank Deloitte Ireland for the work they’ve put into compiling this ranking, and for an extremely professional awards ceremony!” 

The   certificate is in prime position presented proudly in our Belfast Head Quarters. We would like to take this opportunity to say well done to all at  again, especially those innovative tech folk who put in so many hours of development work on our platform. We have seen huge growth this past year and we are looking forward to seeing what the next year at Ģ������Ƶ looks like.

And for more from Ģ������Ƶ, find us on , , or 

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Ģ������Ƶ has won ‘Best Data Management Solution for Sell-Side Regulatory Compliance’ at the  RegTech Insight Awards USA – 2021.

The RegTech Insight Awards USA recognise established solution providers and innovative newcomers, celebrating RegTech solutions that have successfully improved firms’ ability to respond to the evolving and increasingly complex regulatory requirements across the global financial services industry.  

The awards are designed to celebrate RegTech providers who are developing new and innovate solutions for their clients, in order to overcome a wide range of regulatory challenges, with a specific focus on Data Management, Trading Technology, RegTech and ESG suppliers. Nominations are invited from across the industry for consideration by the A-Team’s advisory panel and team of editors. 

Head of Sales, Kieran Seaward said, 

“We are delighted to have won this award, particularly��during a time where��regulatory compliance has never been greater��in light of the Pandemic.��The regulatory reporting landscape is growing increasingly complex and demanding across the global financial services sector. In our experience, clients benefit from developing��robust��data management programmes from the ground up, in order to adapt and comply with changing regulations��and standards.����

“Our solution��takes��the headache out of being able to measure and report��on��emerging and specific regulations, with��its no-code��functionality��and��pre-built rules for��regulations including��IFRS 9��and��BCBS 239��for��financial services.����

“We��would like to thank��our clients��and A-Team’s readers��for voting for us��as we continue to innovate and��deploy��new market solutions to our��wealth and asset management��customers”��

Angela Wilbraham, CEO of A-Team Group, which hosts the prestigious RegTech Insight Awards USA said,  

“We are delighted that our��RegTech��Insight community of over 35,000 senior��regtech��specialists has voted��Ģ������Ƶ��as the��Best Data Management Solution for Sell-Side Regulatory Compliance��in this highly competitive field.��Ģ������Ƶ��has proven themselves to be deserving winners and we congratulate them on their success.”��

About Ģ������Ƶ 

Ģ������Ƶ��provides business user-focused, no-code data quality and matching tools helping financial firms gain value from their data and reduce regulatory risk. Its award-winning platform integrates with multiple data sources, governance, and lineage systems with intelligent automation. It allows Chief Data Officers and senior data leaders to measure, report and fix their data, and match across multiple internal and external sources and systems. Using AI, the platform significantly reduces the manual effort required to make decisions, with full transparency. For more information or to book a demo please contact us.��

And for more from Ģ������Ƶ, find us on ,  or 

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The UK skills shortage is being felt across every sector, region and nation of the UK. In Northern Ireland, 69 percent of employers report a skills shortage in their organisation, with nearly half (46%) saying their biggest challenge over the next five years will be their ability to find staff with the right skills. These findings are taken from The Open University’s (OU) latest published in partnership with The Institute of Directors (IoD).

The report, which analyses the UK’s skills landscape on an annual basis, found that a significant number of employers in Northern Ireland are taking a proactive approach to addressing skills gaps. Almost half (46%) have introduced training in the past 12 months in order to bolster employees’ skills.

One such company is Ģ������Ƶ. Based in Belfast, the 60-person company provides business user-focused data quality and matching technology for international clients. But, like many other businesses, it has struggled to recruit experienced people with software development skills. As a result, Matt Flenley, Head of Marketing at Ģ������Ƶ, said the organisation decided to address recruitment challenges by taking a proactive approach. It is focusing on building a strong internal talent pipeline and using training to build employee loyalty and improve retention rates. “Over the last year and a half, we identified the problem that recruits and graduates are available but are not the exact perfect fit, so we wanted to be better at training. This gives us faster access to a workforce that can deliver for our clients.”

Flenley took part in a recent called Creating a sustainable skills strategy to attract future talent . Alongside Laura Burley, Apprenticeships Ambassador at the OU, and Dr Roger Barker, Director of Policy and Corporate Governance at the IoD, he talked about the importance of ongoing skills development to plug internal skills gaps and to help boost local skills and the local economy. “Upskilling our employees and upskilling our capabilities just increases our competitive edge on an international stage,” he says.

All full time Ģ������Ƶ employees are offered the opportunity to take a training day once a month. That training can be job-related or it can be something an employee chooses to do for personal fulfillment. Like many other local businesses, the company has also gone down the apprenticeship route. It currently has two apprentices in fields of software development and security.

Ģ������Ƶ has a history of working with the OU. Impressed by the distance learning model, the company recruits people who are taking business and computer science degrees with the OU. “We have always been blown away by the fact that people can balance study and work,” says Flenley. “Because we have a strong tie with The Open University locally in Belfast, we have been able to fill certain positions in Ģ������Ƶ with Open University students quickly, and then continue to train them up.”

The company is now creating a data academy in partnership with the OU and other education providers. The data academy will run one-year programmes aimed at people who want to work in IT. Candidates who go through the programmes will be eligible to take up full time employment with Ģ������Ƶ, as well as gaining certification. “We see this training programme as being beneficial to us and our business community as a whole,” says Flenley.

To read the Business Barometer 2020 report

To watch the webinar

To get in touch with The Open University to discuss skills challenges, please email business@open.ac.uk

And for more from Ģ������Ƶ, find us on ,  or 

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BELFAST, LONDON, NEW YORK, NY – 6^th October 2021

Ģ������Ƶ, the leading vendor of self-service data quality solutions, today announced that has positioned Ģ������Ƶ as a Niche Player in its 2021 Magic Quadrant for Data Quality Solutions.¹ This is the first time that Ģ������Ƶ has been recognized in the Data Quality Solutions Magic Quadrant.

The report evaluated 15 different software vendors based on their Ability to Execute and Completeness of Vision and placed Ģ������Ƶ in the Niche Players quadrant.

The full report can be downloaded from the Gartner website .

“We believe Ģ������Ƶ has been recognized in the Magic Quadrant for the first time because of our recent rapid growth and investments we’ve made in R&D for our self-service data quality platform, especially in the areas of AI and Machine Learning,” said , Ģ������Ƶ CEO (pictured below). “Customers are keen to leverage data quality operations in the business without the need to code, requiring the smart automation and human-in-the-loop decision-making that our platform provides.”

¹ Gartner, “Magic Quadrant for Data Quality Solutions”, Melody Chien, Ankush Jain, 29 September 2021

Gartner Disclaimer

GARTNER and MAGIC QUADRANT are a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Ģ������Ƶ

Ģ������Ƶ provides business user-focused, no-code data quality and matching tools helping financial firms gain value from their data and reduce regulatory risk. Its award-winning platform integrates with multiple data sources, governance, and lineage systems with intelligent automation. It allows Chief Data Officers and senior data leaders to measure, report and fix their data, and match across multiple internal and external sources and systems. Using AI, the platform significantly reduces the manual effort required to make decisions, with full transparency. For more information or to book a demo please contact us.

###

Media Contact Ģ������Ƶ

Matt Flenley, Head of Marketing

Matt.Flenley@datactics.com 

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Belfast, London, New York, July 14^th 2021 

Data quality software firm Ģ������Ƶ has today announced the hiring of Julian Wavell as Head of Business Development, based in London.  

Julian brings 15 years of data management solutions experience to Ģ������Ƶ from his time at firms including Semarchy, Informatica, and Ataccama.  

“Julian will be a strong asset to our growing team and lead for Ģ������Ƶ on the ground in our home markets” said Stuart Harvey, Ģ������Ƶ CEO. “His background makes him a perfect fit for aligning our financial services focus with our clients’ data management needs, and he joins our existing senior team members, Alex Brown (CTO) and Mick Foster (COO) in being based out of the UK’s capital city. We’re delighted to be welcoming him on the back of our recent round of funding focusing on business expansion.” 

In the last two years alone Ģ������Ƶ has seen a strong increase in uptake for its self-service data quality and matching platform, particularly by Chief Data Officers and other senior data leaders tackling the need to leverage their data assets across a wide range of systems, silos and sources.  

“Ģ������Ƶ has a clear passion for and track record of solving data quality problems for financial services firms” added Wavell. “I am delighted to be leading for the firm in a market where expertise and technology matter in equal amounts.”  

Julian’s appointment means Ģ������Ƶ has now grown to nearly 60, securing international clients in New York and Amsterdam during the past 12 months alongside a £2m investment round.

“We’ve seen many market consolidation moves in data management from large technology, consultancy and Private Equity firms, particularly as companies are seeking to make up for lost ground over the past year” commented Matt Flenley, Head of Marketing at Ģ������Ƶ. “The demand is especially strong in some of our strongest growth sectors such as wealth and asset management, and insurance, where ongoing challenges over digital transformation and the need to truly master the single customer view have never been more relevant.”  

For other news about the growth of Ģ������Ƶ please visit this page. Alternatively, you can contact us by clicking here.

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New office��marks the latest chapter in Ģ������Ƶ’ rapid growth story, following hot on the heels of its recent £2m investment round led by Par Equity.����

Fast-growing Data Quality software specialists Ģ������Ƶ welcomed Simon Hamilton, CEO of Belfast Chamber of Commerce, to open its latest office at One Lanyon Quay, tripling its office space in the landmark building. The new facility will house the tech firm’s Client Services arm supporting Ģ������Ƶ’ global customer base across financial services and the public sector.  

“It’s great to be expanding our space for our staff here in the centre of Belfast,” said Ģ������Ƶ CEO, “Northern Ireland has become an internationally recognised FinTech and RegTech centre of excellence, and we are glad to be working together as a team and growing our staff numbers. We are seeing benefits for our clients and staff as we collaborate and share in the extended and more spacious office.” 

Hamilton has returned to open a new Ģ������Ƶ office for the first time since 2016, when the then 10-strong software firm first moved out of the Titanic Quarter’s Science Park. Now numbering nearly 60 employees, Ģ������Ƶ has built this growth on strong financial performance, which saw it ranked the 17^th��fastest growing tech firm in Deloitte Ireland’s Fast50 in 2020.��

“Belfast Chamber is delighted to see an excellent, homegrown business like Ģ������Ƶ expanding its footprint in the city,” said Hamilton. “In these uncertain times, it is reassuring that businesses continue to invest in Belfast and view our city as the ideal place to grow.  At the beginning of the pandemic, many were quick to jump to a conclusion that the office was dead. Whilst working practices may indeed change, having such a great space for the Ģ������Ƶ team to innovate and collaborate here in the heart of Belfast is brilliant to see.  Belfast Chamber strongly believes that Belfast has a bright future as a tech city.  Businesses like Ģ������Ƶ are at the centre of our city’s economic renewal and I wish Stuart and the team all the best as they continue to grow.” 

About Ģ������Ƶ –��Ģ������Ƶ specialises in self-service data quality and matching software��designed for non-technical business users in financial services firms. The platform��helps to��eliminate roadblocks��common��in data management��where firms are overly reliant on IT��to interpret and hard-code rules into core systems.����

Solutions ensure compliance with data-driven financial regulations; deliver a true “single customer view”; and increase the accuracy, and reduce the cost, of AML & KYC functions.   

About Belfast Chamber – has been the voice for business in the city since its inception in 1912. It represents over 500 businesses of all sizes, in all sectors and in all parts of Belfast, focusing on lobbying for, connecting, celebrating and supporting all businesses within the entire city of Belfast.  

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Par Equity has led an investment of £2m in Ģ������Ƶ, a leader in the field of data management. 

Belfast-based Ģ������Ƶ provides software and services to large organisations that need to improve and control the quality of the data held in their computer systems. The AI-enabled platform allows staff who are not IT experts to efficiently deduplicate, clean-up and enrich the information in their lines of business. For businesses that have information spread across many databases, the products enable them to give their customers a better quality, more joined-up service, while reducing their costs.  

Ģ������Ƶ operates in the fast-growing data and data quality management industry. Its key customer base is highly regulated sectors such as financial services and government agencies and the platform is preconfigured to meet their specific requirements. Sales have grown strongly over the past twelve months and it has won new clients in Amsterdam, New York, and London. Ģ������Ƶ, which has a team of 50, will use the new funding to accelerate its growth by investing in sales resources focused on London and New York.  

Stuart Harvey, CEO��at Ģ������Ƶ��said,��“It’s clear that in 2021 businesses are stating that data quality has never been more important.��We are seeing major investment in data governance worldwide, with firms investing heavily in data management tools for governance.��Our��core strength in the area of self-service data quality and matching is an essential requirement for many firms wishing to identify broken data and fix it.��Our platform allows companies to centralise the controls necessary for data management but,��crucially,��federate out the fixing of broken data to subject matter experts – the people who know what good looks like.”��

Aidan MacMillan, Investment Manager at Par Equity said, “Ģ������Ƶ has an extremely strong technology platform and some great clients. Its revenues have more than doubled in the last two years and we are confident this growth trajectory will continue. Data management tools are increasingly important across all industries. The growth opportunities are very attractive.  The Ģ������Ƶ AI solution is designed to be easily explainable, which makes risk averse clients, like banks, more comfortable with adopting the technology. We’re very pleased to continue to our support of Ģ������Ƶ.” 

Mr Harvey added, “Par Equity’s backing continues to be extremely valuable to Ģ������Ƶ. Their capital has helped us to develop our award-winning and leading- edge technology platform and to invest in our people. They have been a strong addition to our board, offering highly insightful and timely guidance to help us accelerate our growth. With this new backing from our investors, we’re excited about adding more blue-chip clients and putting people in-market in New York and Tokyo before the end of the year. ” 

, a specialist investor in high-growth early-stage technology businesses, originally invested in Ģ������Ƶ in 2019.  The current investment round, which is also supported by other existing investors, Kernel Capital and Clarendon, will see the company grow to beyond 50 employees and into profitability. 

For other news about Ģ������Ƶ please visit this page. Alternatively, you can contact us by clicking here.  

Or find us on ,  or .

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