Herbert Röblreiter reviews a data import with another participant.
Back to the service overview Development & integration

Interfaces in detail.
Connect data with clear controls.

From a specific bottleneck to a maintainable integration: plan data access, validation, error handling, incremental implementation and ongoing support together.

START WITH THE WORKFLOW

Where is time lost every day?

An order is entered twice. A report is assembled from several exports. Industry software almost fits, except for one crucial step.

We first check what existing products and standards already provide. An interface, a targeted extension or a small tool can make existing investments more useful.

Controlled data transferIllustrative tool
Source
Orders from an existing application
Validation
Required fields and unambiguous mapping
Exception
Return an incomplete record for correction
Handover
Send to the target system only after successful validation

Errors remain visible. Ownership and logging are part of the process.

A traceable path

From initial input to a usable result.

The connection must work in daily operations: validate data, make errors visible and establish operational responsibilities.

Data validation and transfer with a correction path, bounded retries and verification in the target system.
Example: an order from a CRM or business application is validated and sent to the target system. Ambiguous data is returned for correction; interrupted transfers use bounded retries that avoid duplicate records.
Choose the platform to suit requirements

Three approaches to a suitable connection.

Existing services and a custom interface can both be appropriate. Together, we clarify which solution makes technical and economic sense.

Three alternative example paths: Azure API Management with Logic Apps, Apigee with Cloud Run, or a custom REST API with individual processing. Selection and operations follow requirements.
Three alternative technical examples. The right implementation depends on existing systems, data, operational requirements and budget. Manufacturer sources: Azure API Management, Logic Apps and Apigee.
Targeted additions

As much development as the task requires.

01

Interfaces

APIs, databases, web services and controlled imports connect business software, websites and cloud services.

02

Automation

Run recurring processing, status changes, notifications and reports where they are useful.

03

Existing software

Analyse applications and internal tools, modernise maintainable components and adapt them to changing workflows.

04

Extensions

Add the missing function where complete replacement offers no convincing benefit.

05

Small applications

Develop a focused, maintainable tool for a clearly defined task.

06

Operations and handover

Consider access, documentation, error handling and maintenance from the start.

FROM IDEA TO OPERATIONS

First clarify the bottleneck. Then implement with clear controls.

A manageable project process
  1. 01 · UNDERSTANDReview the actual workflowWhere does information originate, which steps are manual and what result is needed?
  2. 02 · IMPLEMENTTest in small stepsAgree data flow and scope, use suitable standards and validate with business examples.
  3. 03 · SUPPORTPreserve knowledge and ownershipDocument, hand over and adjust when applications or processes change.
A possible project

Transfer an order between two applications.

An order is created in a system of record and needs to become available in another application. DAXS clarifies which system owns each item of data and when a transfer counts as successful for the business. This helps prevent a technical connection from silently creating incorrect or duplicate records.

Define the interface

Field mapping, identifiers, permitted values and changes are described using real data structures; suitable sanitised examples are used for testing. Access receives the required scope. Events, scheduled runs or manual approvals follow the workflow.

Handle errors with clear controls

An interruption must not leave an unnoticed gap. Logging, reprocessing and duplicate handling are explicitly planned. When a record is ambiguous from a business perspective, the responsible person receives a clear task instead of the transfer silently continuing.

View planning and acceptance points
  • Define the system of record and ownership for each data field.
  • Agree identifiers, data formats and required fields.
  • Check permissions and protected transfer channels.
  • Test normal cases, invalid values and connection interruptions.
  • Check retries and handling of records already transferred.
  • Acceptance: verify the result in the target system, the log and operating instructions.

Example review framework. Scope and suitable evidence are agreed for your environment.

BEFORE YOU DECIDE

Questions about development and interfaces.

Does existing software have to be replaced?
Often it does not. We first assess existing functions, interfaces and extension options. Replacement needs a sound business and economic case.
Can any systems be connected?
Data access, available interfaces, vendor terms and the operating environment set limits. We check these foundations before committing to a solution.
When is a custom application worthwhile?
When a clearly defined task cannot be addressed well with suitable standard products and the operational benefit justifies development and maintenance costs.
How are errors and data quality addressed?
Validation, unambiguous mappings, logging and controlled retries belong in the design. Business-level sample checks establish whether the result fits the workflow.
Who supports the solution afterwards?
Documentation, error handling and responsibilities are agreed from the start. Support is organised around your existing IT organisation.
Can DAXS develop existing internal tools further?
Yes, where access, the technical foundation and the task are suitable. We analyse the current setup and modernise where useful, preserving good existing solutions.
THE NEXT PRACTICAL STEP

Show us the specific bottleneck.

Two systems that should exchange information? A function missing from daily work? A concrete example is enough to get started.

Simply explained

This page explains how two applications exchange information, how transfer errors remain visible and who supports the connection afterwards.