Slalom

04 / 05

Practice 04 — Application & data

Fewer applications.
Better data.

Most enterprises run two or three times the applications they need, integrated by accident, reporting from copies of copies of data. We help you rationalise the estate, build the data products the business actually consumes, and put real governance on top of both.

Outcomes

What changes for you.

  • 01

    20–35% reduction in application count, with a defensible roadmap for the remainder.

  • 02

    An integration architecture organised around domains, not point-to-point spaghetti.

  • 03

    A data platform that serves analytics, AI and operational use cases from the same source of truth.

  • 04

    Governance that engineers respect — because it makes their life easier, not harder.

Capabilities

The work, spelled out.

01 / 06

Application portfolio rationalisation

TIME-style assessment across business value, technical health and cost — with a sequenced retirement plan.

02 / 06

Modernisation strategy

Replatform, refactor, replace or retain — decided per application with a clear business case.

03 / 06

Integration & API platform

Event-driven and API-first architecture, with a developer portal, contracts and observability.

04 / 06

Data platform engineering

Lakehouse and warehouse design on Databricks, Snowflake or BigQuery — with sane mesh-style ownership.

05 / 06

Data products & contracts

Productised data sets owned by domains, with SLAs, schemas and consumers as first-class citizens.

06 / 06

Data governance & quality

Catalogue, lineage, classification and stewardship — wired into the workflows people already use.

Signals from prior engagements

−28%

Application count reduction in 18 months across a banking estate.

4.5×

Increase in self-serve analytics adoption after data product launch.

$11m

Annualised licence and support savings from rationalisation.

Brief us on yours →