Celebrating 31 Years of Client Service

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Legacy investment data being mapped into a validated portfolio system

CSSI Data Services

Portfolio data migration, reconciliation, cleanup, and recovery.

CSSI helps investment firms migrate, merge, restore, and reconcile portfolio data. We handle the work between the source file and a target system the team can trust.

  • System migrations and acquired-book merges
  • Historical transactions and performance
  • Cost basis and private-equity data
  • Custodian feeds and daily reconciliation

Data services overview

Make the source and destination agree

Successful data work preserves the history and relationships behind each record.

CSSI analyzes, transforms, merges, and reconciles investment data across portfolio systems. We help firms preserve history, align securities and accounts, rebuild missing detail, and validate the result before the new workflow becomes operational.

The engagement can cover an entire migration or a focused problem such as cost basis, private equity transactions, classifications, or a difficult source feed.

Selected project work

Data work measured by what survived the move.

Judge the move by its historical depth, account coverage, and reconciliation quality.

2,000 accounts

Four years of Tamarac transaction and performance history migrated into APX.

7,000 accounts

Twelve years of transactions, securities, prices, and tax lots restored from custodian files.

Private equity

Transactions created from source workbooks and reconciled against client statements.

Cost basis

Tax lots initialized, transactions reposted, and an ongoing maintenance process established.

Classifications

Securities mapped to GICS sectors and historical performance data restructured.

Where we enter

One difficult dataset or the whole conversion

Start with the part of the project that carries the most risk. CSSI can own the work or support the team already leading it.

Start with the data you have

Need help with a migration or a dataset nobody trusts?

Tell us what system the data is leaving, where it needs to go, and what has already gone wrong.

Discuss your data project