Rethinking Your Analytics Strategy for 2027
· FinMason
Every planning cycle has a theme. Heading into 2027, the one we hear most from wealth platforms and asset managers is analytics. Advisors and their clients now expect deeper risk tools, faster reporting, and better portfolio diagnostics, and they expect them sooner than most internal teams can deliver.
That gap between what users want and what a roadmap can realistically ship is forcing a bigger question: how should a firm get its analytics in the first place?
Why 2027 feels different
A few years ago, a quarterly risk report was enough. Today, an advisor sitting with a client wants to answer "how exposed am I?" on the spot. Clients have grown used to real-time apps everywhere else in their lives, and they bring that expectation to their portfolios.
At the same time, the analytics themselves have become more demanding. Stress tests, factor analysis, look-through allocation, and Monte Carlo projections all depend on clean data and serious compute behind the scenes.
The three paths
Most firms end up choosing one of three approaches, or a mix:
- Build in-house. Full control, but the longest road. Ingesting and normalizing investment data alone can take 6–12 months before a team starts building analytics on top of it, and a full build cycle often runs 12–18 months.
- Buy a ready-made portal. The fastest way to put institutional-grade analytics in front of advisors and clients, with no integration project.
- Plug an analytics API into your existing platform. Your UI, your brand, your workflows, with the calculation and market data layers handled for you.
What the API path looks like in practice
One top-5 wealth platform serving more than 800 RIA firms faced exactly this decision. Building in-house was projected to take 18 months. Instead, the platform integrated FinMason's FinRiver API and went live in 12 weeks. Platform adoption rose 95%, assets per advisor grew 32%, and the firm generated more than $1 million in additional annual recurring revenue.
The lesson isn't that building is always wrong. It's that the hardest, most commoditized layers of an analytics stack rarely need to be rebuilt by every firm.
Five questions to answer before you lock your 2027 roadmap
- Which analytics do advisors ask for that you can't deliver today?
- How long would it take your team to build them, including the data work?
- What will competitors have shipped by the time you finish?
- Which parts of the stack actually differentiate your firm?
- Where would your engineers create the most value if they weren't maintaining calculation engines?
Let's compare notes
If your team is mapping out its 2027 analytics plans, we'd welcome a 20-minute conversation about what we're seeing across platforms and asset managers. Book a demo, or explore the FinMason platform.
Follow FinMason on LinkedIn for more on analytics strategy heading into 2027.