“Regulators and industry participants are leveraging data more comprehensively than ever, so it’s imperative that they have the necessary modeling tools to analyse it in order to make informed decisions,” Philip Dutton, Co-Founder of Solidatus.

Solidatus is committed to helping shape the future of data engineering, data management and data governance. Data engineering must evolve if it is to reach its full potential, much like other engineering disciplines have. With the exponential growth in data and the systems that hold it, data management is critical to ensuring standards are defined and structures implemented to support the ever-increasing rate of change. Without control and good governance, the already massively complex interconnectivity of systems will cause organisational paralysis without an urgent paradigm shift.

NEW YORK and LONDON - September 26, 2019 - EDM Council, the cross-industry trade association for data management, has partnered with Solidatus, the leading data lineage and business relationship modeling solution, to provide EDM Council members with a DCAM^® (Data Management Capability Assessment Model) Knowledge Modeling tool. The models enable chief data officers and their organisations to more effectively manage their data supply chain and conform with regulatory, data privacy and other business process requirements. Consequently, this enables companies to deliver their data management capability road-map while accelerating value delivery from their data assets.

Last month I was invited to present during BrightTalk’s Data Management and Analytics in Financial Services Summit. They asked me to speak about Identity and Access Management and showcase how technology is enabling financial institutions to reduce risk and improve compliance while managing sensitive data.

I was invited to present on the topic “Financial Services in the Cloud” at BrightTalk’s Data Management and Analytics in Financial Services Summit held July 16^th to 18^th, 2019. I immediately started to reflect on the past decade and how fortunate I've been to be involved in a large number of data rich projects, ones that have required lots of diverse considerations as to how information is handled. These have traditionally always been very manual and time-consuming, inevitably expensive processes. From a technologist’s point of view, anything manual is worrying, prone to error and in the end, make IT look bad.

Solidatus has four thematic areas where we believe it is critical to understand the flow of data. One of these is transformation and it is this area that has become a source of some debate recently. There is a lot of fashion about transformation currently with a large part of the debate driving the conversation around DevOps. Now, I like DevOps in principle, it is attractive to any software engineer who wants to get value out for a customer quickly with little risk.