TWM Articles from The Wealth Mosaic

How firms use data today: the current landscape

An extract from The Wealth Mosaic's recently published white paper, "From data to value — AI and analytics in wealth management"

Share this resource
company

The global marketplace for wealth managers

View Solution Provider Profile

Connect with The Wealth Mosaic

The Wealth Mosaic quick links
by The Wealth Mosaic
| 18/12/2025 13:00:00

This section explores the situation today for data usage by wealth management firms

Wealth management is at a pivotal juncture. Clients today expect not just performance, but seamless digital tools, deeply personalised advice, and an experience aligned with the best of technology-driven firms. At the same time, wealth managers face margin pressure, intensifying regulatory demands, and disruption from FinTechs, neobanks and platform players. In this climate, simply providing data dashboards or portfolio statements is no longer enough.

Embedding advanced analytics, tools powered by Artificial Intelligence (AI), and real-time data have moved from being nice-to-have to being core to enhanced engagement, retention, and achieving measurable Return on Investment (ROI). Firms that harness data not just for reporting but for insight-driven action will set themselves apart.

This paper explores:

  • where the industry is today in terms of data usage;
  • what leading firms are doing to shift from data consumption to value creation;
  • the key enablers for that shift;
  • how to measure ROI beyond cost reduction;
  • the challenges and risks that must be managed;
  • and finally, the strategic priorities for wealth firms that want to lead rather than follow.

Along the way we reference LSEG’s wealth management data analytics frameworks and materials and complement these with other industry data.

Introduction: the shift from data consumption to value

Historically, the wealth management industry has been data-rich but insight-poor. Firms have accumulated vast volumes of market data, fund information, client profiles, transactional histories and regulatory-reporting inputs. Yet the translation of that data into actionable insight that drives behaviour or business outcomes, often remains incomplete.

Many organisations still operate in a mode of information delivery rather than outcome enablement. They deploy dashboards of performance, risk, holdings, and compliance reports: all useful, but still under-leveraged. The challenge is that static reports (for example, monthly portfolio breakdowns or performance metrics) provide visibility, but they don’t always empower advisers or clients to act with speed and context.

The opportunity now is clear: AI and Machine Learning (ML) techniques allow firms to transform previously passive data into predictive, personalised and actionable insights. For example: identifying a client likely to churn based on behavioural cues; recommending a portfolio rebalance tailored to lifetime goals rather than just benchmarks; or surfacing market-sentiment signals from news and social media that human advisers would struggle to monitor at scale.

The key question becomes: How can firms turn technology spend and data infrastructure into measurable ROI and genuinely impactful client outcomes? In other words: not just ‘how much data can we hold or display?’, but ‘what value are we bringing or extracting from it?’.

How firms use data today: the current landscape

In many wealth management firms today, the predominant approach to data is centred on reporting, dashboards, and compliance. Advisers and back office teams rely on business-intelligence tools that aggregate holdings, performance, risk metrics, or regulatory-reporting outputs. The mindset has been ‘let’s collect and display the data we have’.

Firms may maintain separate systems for client onboarding, portfolio management, reporting, CRM, compliance and market-data feeds. These systems often run in siloes, requiring manual reconciliation or cross-system integration.

Pain points

This status quo brings significant pain points: legacy infrastructure that is rigid and costly to maintain; fragmented systems and data flows that don’t provide holistic views of clients and portfolios; limited integration between front office, middle office and back office systems; and lack of real-time or near-real‐time capabilities, meaning insights may lag events.

Further, data quality issues (duplicate client records, incorrect risk-profile data, missing holdings) undermine trust in analytics. Without trust, advisers are unsurprisingly reluctant to rely on automated tools.

Client perspective

From the client’s point of view, expectations have soared. Clients today expect seamless digital engagement — apps, dashboards, interactive tools — and personalised experiences that mirror other sectors, such as retail, e-commerce, consumer finance, or other popular content streaming platforms including Spotify and Netflix, amongst others. According to LSEG’s research, 68 percent of investors expect their digital experiences with wealth management firms to match those of leading technology companies.

A broader LSEG insight finds that 44 percent of wealth managers say relationship-management is the highest-priority area where AI can have an impact, potentially freeing up adviser time for more in person client communication, supporting the delivery of personalised, relevant investment advice to drive more timely decisions, or even driving greater transparency in the way client portfolios are visually shared with clients.

Adviser perspective

For advisers, time is often the constraint. They need tools that save time, reduce administrative burden and allow them to enrich client conversations. Rather than spending hours preparing spreadsheets or performance reviews, advisers increasingly expect ‘one-pane-of-glass’ dashboards that highlight actionable items — for example, an alert for emerging risk in client’s holdings, or a suggestion to explore an alternative historical return scenario. These allow them to focus on value-added engagement rather than swimming through pools of data to reach a relevant recommendation or course of action.

Interested in reading From data to value — AI and analytics in wealth management? You can read the full white paper online here.

About the WealthTech Insight Series (WTIS)

This research-led white paper is part of The Wealth Mosaic’s WealthTech Insight Series (WTIS), an ongoing research series focused exclusively on technology in the wealth management sector across the world.

Rather than a one-off research process, the WTIS will seek to build an ongoing program of research among wealth managers of different types across the world on a broad range of technology and related topics, building up an aggregated knowledge base of both qualitative views and perspectives as well as quantitative data points.

Discover our white paper collection!

  • Managing model portfolios on multiple platforms – read here
  • Productivity and growth in wealth management – read here
  • The quest to become the best – becoming the trusted wealth coach and adviser – read here
  • The role of technology for recruitment and retention within wealth management – read here
  • From survival to reinvention: the new playbook for technology spend in wealth management – read here

About The Wealth Mosaic

The Wealth Mosaic is a UK-headquartered online solution provider directory and knowledge resource, focused specifically on the wealth management industry.

For wealth managers, the buy side of our marketplace, The Wealth Mosaic is designed to enable discovery of key solutions, solution providers and knowledge resources by specific business needs.

For solution providers and vendors, the sell side of our marketplace, The Wealth Mosaic exists to support the positioning, exposure and business development needs of these firms in a more complex and demanding market.

Discover our latest reports!

Join our community and follow us on LinkedIn here.