When Chartis Research asked banks how ready they expected to be by the 2019 deadline for implementation of FRTB, it found that most financial institutions surveyed did not expect to be in full compliance by then. What’s more, many didn’t even have a firm timeline for achieving compliance. Don’t
IBM test data management (TDM) services are designed to satisfy the demands of enterprises trying to take advantage of test data and environment management solutions for complex IT deployments. TDM services cater to test data discovery, subset production, masking, test data refresh, automation of
Analytics enables banks to comply with regulations and reduce the risk of fraudulent practices in four major areas. These innovation-driving areas include identifying suspicious transactions, staying within the law to uncover predatory lending practices, defending against online threats and
How to enhance risk management can be a vital consideration when organizations need to determine whether a particular behavior is an anomaly or representative of a large problem. Perhaps a chief reputation officer is required to take on the responsibility of identifying gaps that may exist between
To drive coordinated planning across diverse business functions, and deliver huge value to planners and decision-makers, the most efficient approach is to use common decision optimization tools that address business and process specifics.
In this episode of the Finance in Focus series, review the findings of Chartis Research’s global survey of banks’ plans for coming into compliance with the Fundamental Review of the Trading Book (FRTB). Discover what challenges face banks worldwide as you explore likely effects on business models
Now introducing the “Insight Ops” model. This new model will embrace and enable an agile environment for discovery and exploration and manage the transition necessary to deploy the insight to make it actionable.
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
What five ongoing challenges often face companies who are planning to move data to the cloud? Learn how to rescue your data while increasing efficiency, reducing costs, meeting regulations and reducing risks.
Cloud computing has been around for quite a while, and today it is characterized as a collaborative, secure and cost-effective platform largely fueled by Internet-based ecommerce. And while the analog processing of paper-based information may not yet be a thing of the past, see why cloud-based