Managing Complexity
Reference Data Supply Chain Management is Here Today
John Randles, CEO PolarLake
Back office efficiency is top of the business agenda in most Investment Banks and Asset Managers driven by risk management and regulation demanding faster delivery of data into downstream systems. With that our clients are reporting downstream consumer getting much closer to the data, more specific on what they want and the timeliness of the delivery.
Reference Data Distribution – A special case in Business IT alignment
John Randles, CEO PolarLake
There is no end to the amount of literature in the world of IT, Business Consulting and the Harvard Business Reviews of this world on the age old debate in how to align business and IT. But how relevant are these works to the Reference Data world? When it comes to Reference Data we see it as a very peculiar case. This is because business requirements are so distributed across the organization and so many stakeholders that are peers of each other.
Why ETL just isn’t good enough for Reference Data Distribution
Warren Buckley, CTO PolarLake
ETL as a concept sounds very well suited to the world of Reference Data Distribution. Extraction, Transformation and Loading all sound like good things to do when distributing Reference Data. This is why a lot of the ETL vendors show up at the usual Reference Data conferences. It all sounds logical. And lots of Financial Institutions are using it for Reference Data Distribution, usually because there is an available license and it is notionally “free” to use. This all sounds straightforward?
Reference Data Integration Goes Prime Time
John Randles, CEO PolarLake
In this time of massive industry crisis why should Financial Institutions be concerned with Reference Data Integration? The answer is simple: cost and risk, everybody’s focus right now.