How technology transforms sustainable investment data complexity into an advantage

Research evidence excerpt

How technology transforms sustainable investment data complexity into an advantage

The current Others choose to cleanse data in house, hiring data

scientists to perform analyses and to manually clean datastate of play from their multiple sources. This approach is not only time-

continued consuming and resource-intensive, but it also adds onto the

already high cost of procuring the data in the first place.

Furthermore, it creates new risk from having to handle

ad-hoc structural and schema changes by data vendors.

As investors note in different industry surveys, both options

are problematic.

So, what’s Investors are looking to technologies like the cloud and AI to

power advanced analytics and cope with massive amounts ofan investor sustainable investment data. Cloud technology can handle vast

to do? volumes of data, providing the ability to scale quickly without

increased operational costs. AI can accelerate analysis, but only

if the underlying data is reliable.

As has been shown time after time, technology alone won’t

solve data problems: outcomes are only as good as the data“Finding pragmatic

that feeds the technology. Instead, investors can establish asolutions to data

challenges is the scalable and solid data foundation that will support analytics

bedrock to the and operations today, enable cloud-based efficiency and

implementation of scalability, and fuel AI-driven solutions.

a successful ESG- Consistency in data and smoothly integrated analytics will allow

focused strategy to institutional investors to meet regulatory and end-investor

attract clients, satisfy

expectations. More importantly, it will enable them to capitalizeregulators and enhance

on the sustainable investment evolution to capture operationalrevenue.”

efficiencies and improve decision making.