Pensions, endowments, and foundations manage complex, multi-manager portfolios that need a single reliable source of investment data to support sound decision-making.

Family offices are adopting new technology quickly, but many of their core processes have not caught up.

Institutional investment portfolios run on a fragmented stack of custodians, managers, administrators, and internal systems that need a unified data layer to work together.

Citi's 2026 Global Family Office Report shows family offices investing with institutional sophistication, but the reporting and data infrastructure behind that sophistication is falling behind.

A guide to what institutional portfolio management software should actually do, and the questions worth asking before you trust one with a portfolio that spans public and private markets.

A look at what it actually takes for institutional investors to see their entire portfolio, public and private, in one place.

A growing number of India's wealthy business heirs, like Alok Sanghi and Puneet Manchanda, are selling stakes in the businesses that built their family's wealth to build diversified family offices instead.

Private companies make up 15% of the average family office portfolio, often the business that built the family's wealth, yet most reporting systems reduce that stake to a single number typed in once a year.

A breakdown of what multi-asset portfolio management actually requires, from data aggregation to portfolio intelligence, and why most investment teams still can't see their multi-asset portfolio in one view.

Wealth reporting has traditionally answered what a client owns, but private banks and wealth managers now need to answer a more valuable question: what does the client need next.

UNC's endowment returned 37.8% this year on the strength of a 15-year-old SpaceX investment, a case study in why endowments need both broader allocations and the infrastructure to manage them.

A look at what investment data aggregation means for institutional investors, why fragmented data is the real problem, and why aggregating alternatives alone isn't enough.