Rosslyn Data Technologies plc (RDT.L) LSE
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Address
1000 Lakeside North Harbour
Portsmouth, PO6 3EN
United Kingdom of Great Britain and Northern Ireland (the)
Phone
44 20 3285 8008
Sector
Technology
Industry
Software - Application
Employees
41
First IPO Date
April 29, 2014
| Name | Title | Pay | Year Born |
| Paul Watts | Chief Executive Officer & Executive Director | 339,000 | 1965 |
| Ivan Bracic | VP of Sales Strategy & Operations | 0 | N/A |
| Edward James Riddell | Chief Financial Officer | 0 | 1982 |
| Sam Stone | Head of Product & Solution Strategy | 0 | N/A |
| Agata Badiali | Head of Professional Services | 0 | N/A |
| Anna Fynn | Head of Customer Success | 0 | N/A |
| Keith Williams | Chief Technology Officer | 0 | N/A |
Rosslyn Data Technologies plc, established in Portsmouth, UK, in 2005, is a developer and provider of sophisticated software solutions for data analytics, data capture, data mining, and workflow management. The company serves clients across the United Kingdom, Europe, and the United States. Its product portfolio features Rosslyn Spend Management, which assists businesses in automatically collecting, refining, and structuring both organized and unorganized data. The RAPid Spend Analytics platform automates the extraction, integration, cleaning, and organization of data to facilitate accurate self-service reporting and detailed analysis. For optimizing supplier relations, Rosslyn offers a Supplier Information Management platform that streamlines onboarding processes by eliminating manual efforts and establishing a central repository for crucial supplier insights. Additionally, RAPid Supplier Performance Management helps identify potential risks within the supply chain and boosts procurement's impact on profitability. The RAPid Contract Management platform further enhances supply base visibility by linking contractual agreements with spending data, supplier performance metrics, and other relevant information. Beyond these platforms, the company also provides specialized services such as master data management, data extraction, data cleansing, and data enrichment.