ORVANIS
Case Study

Change data once, by morning everything matches.

Customer and partner data had to be maintained by hand across many systems. A single change meant entering it everywhere separately, slow and error-prone. Today a change is entered in just one place. Overnight it flows automatically through all connected systems. Only a handful of people maintain the data, the rest happens by itself, with no errors and no constant chasing.

Industry Company with a partner network
Focus Data, automation
Upkeep Only a few people
Result No double upkeep
1 Place for changes Instead of entering the same change everywhere by hand.
über Nacht Everything current By the next day every connected system matches.
0 Manual double upkeep No one enters the same data twice anymore.
No forwarding errors Data arrives where it belongs.
01

Starting point

  • Customer and partner data lived in many separate systems.
  • Every change had to be entered everywhere by hand.
  • That was slow and repeatedly faulty.
  • Data got lost or was passed on incorrectly.
02

Challenge

  • A change should only need to be entered once.
  • All connected systems should update automatically.
  • Errors and constant chasing should disappear.
03

Solution

  • Connected the systems so data flows from one place.
  • Unified and cleaned up the data.
  • Bundled upkeep onto a few people, the rest runs automatically.
04

Result

  • A change is entered in just one place now.
  • Overnight every connected system matches.
  • Double upkeep and forwarding errors are gone.
  • That saves time, money, and a lot of manual effort.

How the solution took shape

1

Analysis

Understand and assess processes, systems, and data flows.

2

Prioritization

Narrow down causes, assess effort and benefit, and define actions.

3

Implementation

Develop, integrate, and automate solutions.

4

Stabilization

Support, optimize, and anchor sustainably in daily operations.

What concretely changed

Before
  • Data in many separate systems
  • Every change everywhere by hand
  • Slow and error-prone
  • Lost or wrongly forwarded data
After
  • One change in one place
  • Current everywhere by morning
  • No more double upkeep
  • No forwarding errors

Does this task sound familiar?

Do you also maintain the same data in several places? Describe the applications involved and how a change is currently handled. I work with you to define an initial data transfer.

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