Data Management


Data Management

Data Management needs to be a 'core competency' of any Asset Management firm.

At Knadel we recognise that good Data Management in Asset Management is essential to efficient operations and change, accurate reporting and product development. We provide advice on effective Data Management, for example we offer a strategic data management operating model design proposition that addresses data use, controls, ownership, responsibilities and governance; as well as the systems to support these activities.

We consider data management to be a business issue; it needs to consider everyone from operations and accounting to risk management and performance. Our background in operating model design across a range of asset management models provides us with a strong understanding of the business context, drivers and requirements. It also provides us with a good understanding of the data to be managed; ranging from security & product master reference data, benchmarks and counterparty and issuer data to performance returns, risk metrics and security lifecycle data.

Data Issues

We recognise a variety of issues caused by data problems. 

Discrepancies or errors in data

  • Disparate reference data across internal systems causing errors in, or inability to perform, consolidated reporting
  • Operational loss (missed corporate actions, settlement breaks etc)
  • High reconciliation costs
  • Higher risk of errors in external reporting

Lack of market data

  • Inability to launch new products
  • Degradation in performance and portfolio management
  • Poor operational life cycle event management

Inefficient data operations

  • Trading or operations hindered due to poor, slow or inaccurate data set-up
  • Duplication of outsourced data management operations; unnecessary costs.

Uncoordinated data management

  • Hindrance to change; replacement of systems or business reorganisation
  • Divergence from original data management principles as business units change organically or change is unstructured.

High market data costs

  • Unnecessary overlaps in market data providers
  • Excessive duplication for validation
  • Unnecessary duplication across business lines
  • Inefficient internal data management processes

How Knadel can help

Drawing on our knowledge of the market and best practice across the investment management industry we provide a service that is an all-encompassing investigation, strategic review and accompanying design of the data management operating model.

We consider a number of data features across several different data types.


    • Coverage
    • Sourcing
    • Quality
    • Timeliness
    • Management
    • Accuracy
    • Consistency
    • Cost
    • Product data
    • Security / Asset data
    • Account
    • Positions & Holdings
    • Valuations
    • Legal Entities and
    • Counterparties
    • Classifications
    • Markets
    • Clients
    • Benchmarks and Indices
    • FX rates
    • Tax rules
    • Mappings, Terminology
    • and Meta data etc 

Data management systems

There are a variety of systems that offer solutions to data management issues, some specifically aimed at asset management, others more generic. We can provide advice on the types of system suitable for your business as well as on their relative strengths and weaknesses. We have undertaken numerous selection exercises for data management systems and have processes and templates for ensuring a pragmatic, auditable, effective selection process. We can facilitate this process and optionally play an active role in the assessment providing recommendations and opinions as appropriate.

Data governance definition and implementation

As part of a data strategy or as a separate service we have experience of establishing a data governance regime. We can make recommendations on the appropriate ownership, management and governance of data for investment management firms and have experience in implementing governance policies including defining scope, remit and authority.



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