Tips and Tricks: How to Work Efficiently with Data in SAP

You have all the data in SAP. But it still takes forever to get to it? Often it’s not a problem with the system, but with how you work with the data.

And this is exactly where the biggest drain of time occurs: people have the data, but they just can’t find it quickly, filter it correctly, repeatedly deliver it in the form of a report, or the quality of their inputs is falling apart, so the outputs never quite fit.

In this article, we will break down effective work with data in SAP into specific steps that will make the biggest difference. Not for faster clicking, but for better work setup, so that SAP really works for you.

Why people in SAP are slow to access data

If you look at typical teams, the problem is not that SAP is slow. More often it looks like this:

searching without filters (or with unclear inputs)
same reports manually every morning
each team keeps its own records on the side,
data is outdated / unstructured
uniform variants and standards are missing

Result? The data exists, but the path to it is unnecessarily long.

5 changes that have the biggest impact (and you can do them quickly)

1) Use filters and variations instead of manual searches

This is the basics. Filters and variants allow you to access the same data quickly and consistently, without having to set the selection again.

What this means in practice:

Create variants for frequently used transactions/reports for different roles
Name them consistently
Share them as a standard across your team

2) Automate recurring reports

If someone regularly creates the same reports, there’s a good chance that:

it can be automated
or at least shortened to a few clicks and a stable output

The goal is not to have more reports. The goal is to have reports that are produced regularly, with the same quality, and people can focus on analysis instead of production.

3) Work with precise inputs

Fewer errors in input = better outputs. This sounds banal, but in companies it is often the biggest obstacle to data quality.

Practical examples:

clear rules for filling in key fields
validation where errors are most common
and most importantly: a consistent definition of what is correct

4) Keep data structured and up-to-date

When data is not maintained, SAP gradually turns into an archive. And then it is no wonder that people prefer to work outside the system.

The biggest benefits are:

unification of the structure,
ongoing maintenance,
and simple quality checks

5) Make small changes that save big time

Efficiency in SAP often doesn’t come from one big project. It comes from a series of small adjustments that multiply every day.

One good report option, one automated output, one input adjustment… and suddenly you’re saving dozens of hours per month across the team.

Working effectively with data in SAP is not about clicking speed

This is a point worth repeating: Working effectively with data is not about being a fast user. It is about setting up the system to work for you, saving you time and money for your business.

When done right, SAP becomes:

a reliable resource
a quality decision-making tool
rather than an obstacle to be circumvented

How do we approach this at ITDC?

At ITDC, we help companies make the most of SAP, not just have it. In practice, this means focusing on what will really bring performance to the company:

better access to data
consistent reports
higher quality of inputs
and setting up work so that SAP actually simplifies operations

And by the way: this is also why working in SAP is interesting for smart people. It’s not about clicking. It’s about systems thinking, automation and real impact.

Are you ready for innovative solutions?

Let’s find out how our innovative solutions can move your business forward.