Data Quality Check
Is your data reliable enough for reporting, forecasting or AI?
A clearly limited fact check of your data: we check completeness, consistency, plausibility and obvious risks and deliver a comprehensible picture with a risk traffic light. The analysis takes place preferably in your own infrastructure, without your data having to leave the house.
Focus: the two entry packages
This page bundles the Data Quality Snapshot for a single, clearly delimited dataset and the Data Quality Report for multiple tables with simple key relationships.
Four packages, clearly delimited.
The quick fact check for a clearly delimited dataset.
Suitable for
- a CSV, Parquet or Excel file
- a database table
- up to 50,000 rows
- up to 200 columns
- up to 10 million data points
Deliverables
- automated data profiling
- missing values per column
- data types and format issues
- cardinalities
- duplicate and outlier indicators
- simple plausibility checks
- risk traffic light
- PDF short report, approx. 8 to 12 pages
- 30-minute closing call
A reliable report for business and IT.
Suitable for
- up to 250,000 rows
- up to 300 columns
- up to 3 tables
- simple key relationships
- up to approx. 75 million data points
In addition to the Snapshot
- review of multiple tables
- join and key analysis
- ID consistency
- time-axis check
- segment analysis
- quality score per dimension
- prioritised problem areas
- concrete recommendations for action
- PDF report, approx. 15 to 25 pages
- 60-minute results workshop
Frequently asked questions
Which data formats are possible?
CSV, Parquet, Excel as well as common database tables. For multiple systems or complex sources, the Custom Data Audit is the right path.
Does data have to be transferred to myBytes.com?
No. We work preferably in your infrastructure, with copies, samples or anonymised data. The data does not have to leave your house.
What is not included?
No data cleaning, no data modelling, no productive integration, no dashboard building and no legal data protection review. You receive findings, a risk traffic light and recommendations; the implementation is separately commissionable.
How representative must a sample be?
A sample must reflect typical cases, exceptions, periods, categories and known problem cases. Ten rows out of millions suffice only for a technical format check, not for a reliable assessment.
What happens after the report?
You have a clear picture and prioritised next steps. On request we accompany the implementation in a separate engagement.
Let us talk about your data
Free 30-minute initial call. Briefly describe your dataset and your plan; optionally you can state a preferred date.