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Santa Barbara Bank & Trust (SBBT), one of the largest banks in the United States, had recently been recapitalized and was preparing for acquisition. This was to be the first non-FDIC-assisted bank acquisition under the Dodd-Frank regulatory regime. New regulations required a complete review of the bank’s existing data and data management practices before the acquisition could be approved. Key challenges included:

  • Weak Governance: There had been no formal data management activity in the bank and very little overall oversight of how data was used;
  • Dense Infrastructure: Data was distributed among more than 50 legacy systems, each with its own technology and regulatory requirements;
  • Vendor Resistance: Vendors had operated without previous incentives to coordinate the collection and usage of data;
  • Low Quality: Individual data sets had rarely been tested for quality and some critical enterprise data sets had never been analyzed;
  • Variable Accuracy: Some systems stayed in perfect balance at all times, and others were balanced daily, weekly, monthly or on a different schedule making comparisons across data sets especially difficult.

Apply the Data Management Association’s Body of Knowledge (DAMA-BOK) to assess the bank’s condition and correct major deficiencies in each area in preparation for the upcoming acquisition:

  • Data Governance
  • Data Architecture Management
  • Data Development
  • Data Operations Management
  • Data Security Management
  • Reference and Master Data Management
  • Data Warehousing and Business Intelligence
  • Document and Content Management
  • Metadata Management
  • Data Quality Management

As a result, deficiencies were corrected and data made suitable for the upcoming transition. Santa Barbara Bank & Trust was successfully acquired by Union Bank on December 3, 2012 for $1.5 billion.

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