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Data Management Our Vision
FY26/27 · Vision
FY26/27 · Strategic Direction

Our Vision.

The purpose and principles that guide every system we build, every dataset we govern, and every workflow we automate for Temasek's investment teams.

Vision

To be the trusted data and technology partner for Temasek's investment teams — delivering the infrastructure, intelligence and automation that enables faster, more confident investment decisions.

Mission

We build and operate the data foundations, digital products and AI capabilities that the firm runs on — removing friction, closing gaps, and raising the quality bar for investment data across every asset class.

Strategic Pillars
01
Investment Intelligence
Analytics, monitoring and execution intelligence for investment teams — from portfolio dashboards to options analytics and loan utilisation.
02
Digital Products
Purpose-built applications and tools for investment workflows — e-Ticket, Analyst Rating, private data ingestion and beyond.
03
AI & Automation
AI-ready infrastructure, intelligent automation and cost optimisation — from enterprise data contracts to MCP deployment and procurement automation.
04
Trusted Data Foundation
Enterprise data sourcing, mastering and governance — Bloomberg data management, CDE self-service, and extensible blacklist platforms.
05
IBOR Delivery
IBOR programme delivery, Bloomberg PORT and instrument operations — strategic asset reallocation, valuation policy and new instrument onboarding.
How We Work
Trusted by Design
Data quality, governance and auditability are built in from day one — not bolted on after delivery. Every product we ship earns the trust of the teams that use it.
Built for Investment Teams
We co-create with the investment teams we serve. Tooling is shaped by real workflows, real pain points and real data — not internal assumptions.
Deliver, Then Improve
We ship working software fast and iterate on feedback. A live product that solves 80% of the problem beats a perfect spec that ships in 18 months.
One Team, Five Pillars
Our five pillars are distinct in focus but connected in outcome. Collaboration across pillar boundaries is expected — and is where our best work happens.
Automate the Boring
If a human is doing something repetitive with data, we ask whether a system should do it instead. Automation frees the team to focus on higher-value problems.
Measure What Matters
We track delivery, cost savings and adoption — not activity. Outcomes over outputs, always.