Skip to content
Deltacraft

Data integration & extraction

Data integration, migration and systems integration

Move data between systems that were never designed to talk to each other.

Two systems holding different answers to the same question is a governance problem before it is a technical one. The fix is not usually a bigger export. It is deciding which system owns each field, then building a pipeline that moves the data on a schedule and tells you when it did not.

We work against whatever the source actually is. A modern API is the easy case. More often it is a database we can read but not write, a nightly fixed-width file, a report that only exists as PDF, or a filing cabinet that has to be scanned and read before any of this starts. Extraction from documents is part of the service, not a separate project.

The part that decides whether an integration is trusted is reconciliation. Every load is counted and checked against the source, differences are reported rather than absorbed, and a failed job raises an alert instead of quietly leaving yesterday's data in place. That is the difference between a pipeline people rely on and one they check by hand anyway.

What you get

  • Source system assessment
  • Extraction and transformation pipelines
  • Reconciliation and failure alerting
  • Scheduled and on-demand loads

Who this is for

  • Data and BI teams
  • Finance teams reconciling across systems
  • Organisations replacing a legacy system

How the engagement runs

Six steps, in this order.

Skipping one of these is how projects end up rebuilt. The order matters more than the ceremony.

  1. 01

    Consultation

    We sit with the people who do the work and find out what actually happens, including the workarounds nobody documented.

  2. 02

    Planning and proposal

    Scope, timeline and cost in writing, with the assumptions listed. If something is unknown, it is named as unknown.

  3. 03

    Design and development

    Data model first, then interface. You see working software early and often rather than a demo at the end.

  4. 04

    Testing and refinement

    Functional, load and user acceptance testing. Findings go on a list that gets closed, not a list that gets discussed.

  5. 05

    Implementation and integration

    Migration, integration with existing systems and a cutover plan that accounts for the day the old system is switched off.

  6. 06

    Training and support

    Your team is trained on the system they will use, and we stay on for maintenance, updates and the questions that arrive in month three.

Questions

Asked before we start.

Something not covered here? Email us and a person will answer.

Our data is in a system the vendor will not open up. Can you still get it?

Usually. If there is a reporting database, a scheduled export, a print stream or even a screen we can drive, there is a route to the data. We assess it during discovery and tell you if the only honest answer is to press the vendor for an API.

Can you extract data from scanned documents?

Yes. Scanned and image-based documents go through OCR and structured extraction, with a review step for anything the extraction is not confident about. Accuracy depends heavily on scan quality, so we test on a sample of your real documents before committing to a figure.

How do we know a nightly load actually ran?

Every job reports row counts against the source and raises an alert on failure or on a count that falls outside expected bounds. Silence is not treated as success, which is the failure mode most home-grown pipelines have.

Scoping

Send us the process that keeps breaking.

A short description is enough to start. We will come back with whether it is a product, a build, or something you can fix without buying software.

Nairobi office

10th Floor, Applewood Adams, Ngong Road
Nairobi
Kenya
Hours
Mon–Fri, 08:30–17:30 EAT