Asset managers are tackling a bevy of new data-related requirements, driven by clients, boards, global regulators and the FinTech disruptors. Many buy-side firms have responded by embarking on operational and technological transformation projects. Some have focused on data access and delivery, upgrading legacy data architectures using hubs, virtualization, warehouses, or data-as-a-service (DaaS); others are tackling costs and efficiency by taking advantage of newer technologies such as machine learning, robotics, and various forms of artificial intelligence (AI). As they institute these initiatives, investment managers also discover new bedrock needs: enhanced data governance, integrity and controls.
There has never been any greater need for Investment Management firms to optimize the management, delivery and reporting of their enterprise data. Firms are being driven to reconsider their business models and adapt architectures and IT systems to accommodate several new factors affecting the industry. All these factors, be it product innovation, the shift to passive, new regulations, raised client service expectations, or fee compression, converge on one thing - Data.
Client reporting has been a top priority across asset management, wealth management and insurance firms since 2013 and shows no signs of falling off the list. Our experience collaborating with our clients spans these industries and the software and service providers who deliver solutions. Regardless of industry, firm size or geography the following 10 lessons learned apply.