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/ / Power of 3

Implementing a data analytics store for a Tier-1 Global Bank (CCIB)

Our global tier-1 banking client wanted a unified view of customers by aggregating all structured and unstructured data from inside and outside the organization, all in one place. This unified data store would help build greater customer insights and provide targeted recommendations to their front-line to improve client sales and engagement.

Navigating the client lifecycle can be difficult with data sitting across multiple siloed databases across systems, geographies, and product lines. Additionally, when a business user asks for information from a data division, e.g., a customer’s cash transactions in a particular market, it is unlikely that they will know the exact table or field they want. Hence, identifying, sourcing, and stitching the data together was a major client concern.

Synechron assembled a cross-section of data management specialists, domain data BAs, technical delivery managers, architects, and 3 technical squads to build multiple new data-as-a-service platforms for a Minimum Viable Product data asset.

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Enabling Timely, Cost-Effective Data Controls/Alignment Across All Domains

Synechron’s delivery of this program included:

  • Identifying data attribute sourcing needs via a use case-driven contribution model to avoid dead fields in the data lake. Integrating the data coming from source systems, with logic to link data together
  • Pulling 90 internal & external data sets across 6 functional domains into a single location to enable a holistic view of the client lifecycle across the Corporate, Commercial & Institutional Banking (CCIB)
  • Supporting the semantic layer with Domain data modeling for each of the key Corporate, Commercial & Institutional Banking (CCIB) domains, including Financial Markets, Trade, and Cash
  • Centrally addressing the Data Quality (DQ) challenges by establishing a second layer of DQ checks, visualization, and a DQ Operations team to manage fixes back at source systems
  • Consolidating initiatives into a one-stop-shop for end-users to access all insights and information needed globally, delivering capabilities for self-service discovery, observing data usability, shopping, and provision of data to consuming applications and data scientists
  • Simplifying the data architecture for external data and reference data with common data platforms with end-to-end delivery of requirements, through to system go-live
  • Enforcing data governance standards such as data ownership, dictionaries, and DQ metadata to improve oversight, standards, and control of entitlements
GRC Capabilities
Remediation to achieve
Heightened system maintainability
Increased ROI by 25
Reduced overall complexity by 45
Reduced overall complexity by 45

A global team with a laser focus