
Datactics
Provides data consolidation and re-engineering software.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
N/A | Support Program | ||
Total Funding | 000k |
GBP | 2015 | 2016 | 2017 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
EBITDA | 0000 | 0000 | 0000 |
% EBITDA margin | - | (105 %) | - |
Profit | 0000 | 0000 | 0000 |
% profit margin | - | (93 %) | - |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Company filings or news article
Related Content
Datactics is a technology company specializing in data quality and matching solutions, primarily serving financial institutions. Operating in the financial data and banking sector, Datactics offers a suite of AI-powered tools that help businesses identify, understand, and rectify data quality issues. Their platform provides critical insights into potential data breaks, enabling clients to prioritize high-impact issues. The Data Quality Manager acts as a connectivity hub, facilitating seamless data exchange and interoperability between various systems. Datactics generates revenue through a subscription-based model, offering its software as a service (SaaS). The company prides itself on its experienced leadership team and a diverse, talented workforce. Datactics has been recognized for its commitment to continuous learning and development, earning status with Investors in People in 2022. The company is known for its strong track record in customer delivery and award-winning technology, making it a valuable partner in digital transformation programs.
Keywords: Data quality, AI-powered, financial institutions, data breaks, compliance, interoperability, SaaS, digital transformation, machine learning, entity resolution.