Data Cleansing

Improving the quality of your data, it means improving the quality and accuracy of your decisions

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Data Cleansing

Data Cleansing Intro

At scrm-centre, we have developed a user-friendly platform that will save you time from

a) data cleansing and validation,
b) geocoding, data enrichment and
c) data integration from multiple sources into single standardised reports.

Save manhours, improve reporting accuracy, and reduce RISK in your end-to-end supply chain decision making.

Uploading Data

Select a data file in xlsx or csv format, drag-&-drop to the right area, and click to proceed. You may also use our API interface to link your system and standardise or automate the uploading process, in a secure and safe manner.

Datacleansing Part 01
Datacleansing Part 01

Uploading Data

Uploading Data – Select a data file in xlsx or csv format, drag-&-drop to the right area, and click to proceed. If you want to automate this process with our API, please contact us.

Datacleansing Part 01

Multiple Sources Integration

Create single reports from multiple internal or external sources, such us owned factories, suppliers or logistics providers. Use our platform to integrate missing data, and develop more accurate reports.

Outcome

Your data are clean, geocoded, standardised, enriched, ensuring that your reports & projects, hence your decisions will not be skewed or influenced by errors. You may find below more explanations on our definitions:

  • Clean = spelling errors, lines with no data volume etc., double entries, and more
  • Geocoded = assignment of coordinates on every node via Google Maps, and corrected info on postcode/city level etc.
  • Standardised = profiling data, local language names of cities translated into English e.g. Köln -> Cologne, assign ISO country letters e.g. United Kingdom -> GB
  • Enriched = transformation of metric units of measure into imperial and vice versa e.g. km vs miles, and more.

Benefits

Everyone has data, but only few have accurate and cleansed data meeting their actual needs.

  • Improve the efficiency of your operations by >5%
  • Make greener decisions & reduce CO2 emissions
  • Save valuable resources, time, and costs
  • Reduce uncertainty caused by poor data
  • Boost collaboration among external partners
  • Make your S&OP processes more robust
  • Improve quality and minimise uncertainty of tenders within your end-to-end supply chain (transportation lanes, warehousing, etc.)