Data understanding for the federal government

We help make sense of the data behind Germany's nationwide public services, as part of a program run by the federal government, SAP and T-Systems.
3
Partners in the nationwide program: the federal government, SAP and T-Systems
Millions
Records from legacy data sets, tens of millions in total
Ongoing
alm works in the team, contracted directly by T-Systems

Challenge

Data without a shared language

Behind the nationwide public services lie legacy data sets from different sources, with inconsistent structures and no shared terminology.

Understand first, then digitize

Turn tens of millions of records into reliable knowledge that the consortium's business side, architecture and implementation can build on.

What decisions build on

  1. Consortium
    • Federal government
    • SAP
    • T-Systems
  2. Shared language
    • Results for business and technology
  3. Findings
    • Patterns
    • Duplicates
    • Gaps
    • Inconsistencies
  4. Methods
    • Classic data analysis
    • Statistics
    • AI-assisted methods
  5. Data
    • Tens of millions of records from legacy data sets

Reproducible and traceable instead of one-off analyses.

Solution

Data analysis at scale

Analysis across tens of millions of records, reproducible and traceable instead of one-off.

Making structures visible

Identifying and assessing patterns, duplicates, gaps and inconsistencies in the data sets.

A mix of methods

Classic data analysis, statistical methods and AI-assisted methods, each used where it produces reliable results.

A shared language

Results prepared so that business and technology in the consortium can make decisions based on them.

Result

A reliable understanding of the data.

The team has built a reliable understanding of the data landscape behind the nationwide services, as the foundation for further digitization. alm contributes senior expertise that fits into existing teams and takes on responsibility there.

Project facts

Client
T-Systems International GmbH
Partners
  • German federal government
  • SAP
  • T-Systems
Industry
Public sector · Digital administration
Status
Ongoing
Services
  • Data analysis
  • Data engineering
  • Data quality
  • AI-assisted analysis
Data volume
Tens of millions of records
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