Industry digitalisation analysis

Digitalization of Investment and Asset Management Companies

Checking portfolio reports and clearer communication with the client

Digital maturity

Typical digital maturity

Shows the level of digitalisation companies in this line of business typically operate at.

The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data.

A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.

high
Digitalisation potential

Digitalisation potential

Shows the scale of business impact digitalisation could have in this line of business.

It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions.

A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.

70/100
Biggest challenge
A change in mandate or policy does not reach the portfolio boundaries
Biggest opportunity
Faster and easier-to-explain portfolio reports

Operating model

Funds, individual portfolios and private equity investments vary in asset valuation and data update rate. Businesses need different access to their capital management than to serve external customers.

Management of exchange traded funds

The manager tracks financial instruments and the investment limits set in the fund documents. Transactions made and settlements already made are accounted for according to their actual dates.

Management of private equity and other less-sold assets

Investments are valued at specified periods according to the chosen methodology. Investors' liabilities, actual contributions and payouts are tracked separately.

Individual portfolio management

Each client's portfolio is managed according to its objectives, agreed limits and mandates. Reports distinguish the result of investments from the client's contributions and payouts.

Company's own funds investment

The team evaluates investment opportunities according to the company's policies and management decisions. Stored analyses, reasons for choice and subsequent investment reviews.

Market context

The asset manager team combines position accounting, investment decisions, restriction control and reporting to clients. An understandable explanation of the portfolio result is important to the investor, and the team is provided with comparable and cross-checked data. Analytics helps to evaluate choices according to agreed methodology.

  • Comparable ReportsContributions, payouts, value change, and fees must be clearly separated in order for the customer to understand the outcome.
  • Different Data UpdatesExchange instruments and less frequently valued assets require different valuation dates and verification.

Workflow and responsibilities

01

Mandate and Analysis

The investment limits allowed and the research basis available at the time of the decision are determined.

02

Decision and Commitment

Checks selected position, pending orders and specific restrictions.

03

Checking operations and positions

Trade, settlement and accounting facts are maintained separately.

04

Evaluation and result

Adapted to the type of asset and the methodology of price and return appropriate for the purpose.

05

Report and follow-up

A verified result is issued, correction explained and necessary assumptions updated.

Digital maturity scale

1

Separate records and manual work

Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.

2

Organised data within individual teams

Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.

3

Partially integrated systems

Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.

4

Coordinated systems and teams

Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.

5

Continuous measurement and improvement

The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.

Executive conclusion

Reliablely matched position, price and cash flow data facilitate reporting. The specialist must be able to explain discrepancies and the result presented to the customer.

Related digitalisation topics

Investment Data PlatformCustomer Mandate and Eligibility ManagementPortfolio Risk and Limit ControlAssistant for Investment Research AI

Discuss the progress of your financial service