Henna83
Financial district beside a river with pedestrians on a bridge

Who we serve · Banks

Build the foundations for the next era of banking.

Modernize data, platforms and acquired operations with clear ownership and control.

Types and business models

How banks differ

Many institutions fit more than one of these size and business-model categories.

01

Global and multinational banks

Institutions operating across markets and business lines, where enterprise data standards, platform dependencies and cross-border coordination shape transformation delivery.

02

Super-regional banks

Large regional institutions balancing enterprise scale with locally rooted businesses, acquired systems and complex lending, deposit and servicing operations.

03

Community and regional banks

Relationship-driven institutions where core platform choices, acquired systems, and lean technology teams shape what modernization is practical.

04

Commercial banks

Lending, treasury, and deposit relationships with business clients, where credit, exposure, and relationship data must align across systems.

05

Retail and consumer banking businesses

High-volume customer, account, and transaction activity where consistent definitions drive servicing, marketing, and risk.

06

Digital banks

Platform-native models that still depend on partner cores, vendor interfaces, and data that must hold up to scrutiny as they scale.

Questions leaders bring to us

  • How do we reconcile customer, deposit, credit and general-ledger data across platforms?
  • Which legacy dependencies constrain a cloud migration?
  • Can teams use shared definitions for reporting and decision-making?
  • How do acquired institutions integrate without destabilizing operations?

The challenges underneath

Customer and account records, deposit and loan balances, transaction histories, CRM, finance and risk feeds.

Batch interfaces and refresh cycles

Data moves between core, finance, and risk systems on schedules set years ago. Inconsistent refresh cycles mean two reports can describe the same day differently.

Duplicated identifiers

Customers and accounts carry different keys across systems. Without resolution rules, every downstream use case rebuilds its own version of the truth.

Acquired cores

Each acquisition can add a core platform, a set of extracts, and a reconciliation burden that grows until the institution decides how to converge.

Conceptual planning scene; not Henna83 staff or a named client

Platform context

Platform context: environments relevant to this work.

Fiserv DNA / Premier / SignatureFIS IBS / HORIZONMainframe environmentsMicrosoft Azure targets

Relevant capabilities and programs

Programs

Services

Selected resources

Thinking and tools for the work ahead

Starter kit

Data & cloud

Data Discovery & Readiness Kit

Profile approved local CSV exports and establish source ownership, quality gaps and next decisions.

Explore the Knowledge Hub →

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