Know its History, its Habits and its Future
For too long, outdated practices have shackled data management within Financial Services organizations. Different lines of business source, clean and store information for their own bespoke purposes, leading to data inconsistency and costly process duplication. The drive towards excellence in data quality mandates the enrichment of information while minimizing effort duplication and ensuring extensive data reuse across the enterprise. The reality is that achieving all of this with the current restrictions on budgets is near impossible. Outsourced service providers with the relevant domain expertise have emerged to partner financial services organizations by providing high quality data management services in an effective, efficient and economical manner. With the legwork outsourced to vendors, their clients are free to do the planning and overseeing that is required to build robust data management functions.

The Fog of Data
Seeing the Wood through the Trees Getting to grips with unwieldy data is hardly a new phenomenon for financial services organizations. However, there are forces at work that only exacerbate an already pressured situation. Without due care and attention, emerging data regulations, new financial products, growing data volumes and tougher performance objectives will all coagulate to put additional strain on the already stretched data management teams. To make matters more challenging, this added pressure must be absorbed at a time of increased constraints on data management resources. Simply put, there is clearly a profound need to find new ways of doing more with less. Outsourced Service Providers are well placed to meet these needs, and this blog entry discusses some points relevant to exercising this option.

Control Throughout the Data Management Lifecycle
Data is the foundation on which modern financial services are built and drives all parts of the business. However, data also represents a substantial risk to all elements of the enterprise, or more accurately, bad data jeopardizes a smooth operation. In a climate of increasing data demands from business and regulators, accuracy and consistency are fundamental requirements, but there is an overriding perception that data has not been proactively managed so far. It is time to acknowledging the risks to the business of poor quality data and its potentially far-reaching implications. Furthermore, it is time to concede that even the finest financial services organizations may need expert assistance from an Outsourced Service Provider in the transition to a modern data management regime in a cost effective manner.