This white paper examines the challenges of adapting to the evolving regulatory landscape. It explores how a smart approach to data and innovative tools build resilience into a business looking to not just weather the storm but seize the advantage.
This white paper explores the benefits of moving financial data from legacy mainframes. It explains why maintenance costs along with lost opportunities builds a strong case for migrating sooner rather than later.
Curt Burmeister is Head of Research Innovation and Financial Engineering for IBM Risk Analytics. In this exclusive video Curt discusses risk analytics and the importance of data management.
This white paper examines how well firms are managing portfolios given the data, tools and techniques they are currently using, as well as their level of preparedness for sudden shifts in the investment landscape.
Diane Reynolds is Chief Data Scientist at IBM Industry Solutions for the financial services sector. In this exclusive video Diane discusses the cognitive computing capabilities that IBM is currently developing.
This white paper explores the electricity paradox and outlines a framework for utilities to overcome this existential threat. Faced with rising costs, declining usage and more demanding customers, energy companies must look beyond their current business models.
This white paper emphasizes that now is the time to address the extensive inaccuracies in data reporting to ensure data integrity. It further provides an elegant solution to the problem that leverages existing bilateral reconciliation processes and systems.
This white paper explores the impact of evolving data privacy regulations and data sovereignty. It aims to understand the implications of data privacy regulations on global businesses.
This animated video provides insight into the most important ways utilities could deliver value to an organisation. The video further discusses what survey respondents feel is important for a genuine, unified utility.
This white paper discusses how financial institutions can overcome the challenge of non-standardised data and will look at various organisational data quality issues. It further explores how to make large quantities of data usable and easy to analyse.