Although our software was born in London, we now call many of the world’s great cities home. Earlier this year, we set up shop in Houston, Texas to meet the demand for next generation data management solutions throughout North America. Since then, we’ve attended a myriad of events across the continent and have welcomed many new colleagues that share our passion for reimagining data management.
Solidatus' CIO delivers a session on what data culture should really mean at Big Data London, wins A-Team data award in New York and meets hundreds of attendees at their event booths
- Session to address rapid growth in data industry and role of Solidatus in BNY Mellon transformation
- ‘How data blueprints deliver sustainable business value – with Solidatus & BNY Mellon’ is scheduled for 22 August in Orlando, Florida, at 6:15 pm EDT
- News follows recent appointment of Philip Dutton as Solidatus’ CEO and establishment of North American HQ to satisfy 2x sales growth in the past 12 month
Appointments: CEO and Global Head of Sales
Establishes North American HQ to satisfy 2x sales growth in past 12 months
London, UK and Houston, TX, 10 August 2022: Solidatus, a leading data management technology firm, has appointed Co-Founder Philip Dutton as CEO. The move positions the firm to better meet the escalating demand from major global businesses for smarter, more innovative ways to unlock the full potential of their enterprise data. As part of a broad-based re-organization, Solidatus has established its US headquarters in Houston, Texas, where Dutton is now based. They are pleased to have hired Sheldon Feinland to run global sales out of New York. Fellow Co-Founder Philip Miller is in a new role, that of Chief Innovation Officer.
Good data governance includes a set of robust processes, policies and standards that ensure the efficient and effective use of information. It stipulates who is responsible for data, how it can be used and how its quality is assured. Part of NOW: Pensions’ newly defined Data Governance Program included creating a new business data model to improve and organize their data structure. Once built, the model was then enriched through defining a set of data quality rules that prevented the uptake of bad data, as well as measuring the quality of the data that was already held by NOW: Pensions.