Case Study Data Confidence

Fewer data errors, more confidence in decision making

A modern data architecture automates the ingestion, transformation and validation of information.
Speed, scalability and confidence in data.

 

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Industry
Industrial Sector

UP TO
-95%
data errors

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-95%
Data errors.

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↑ Reliable data
Automated cleaning, validation and quality control processes.

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Scalability
A data platform that grows as the business grows.

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↑ Operational efficiency
Greater autonomy for business users.

BEFORE

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Data dispersed in systems and spreadsheets.

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Manual processes to collect and validate information.

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High risk of errors and low confidence in the data.

NOW

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Modern data architecture based on Azure.

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Automated intake and processing

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Validation and cleaning rules to ensure data quality.

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THE PROBLEM

Lots of data, but unusable


  • There was data, but it was not connected or validated.
  • Each team worked with its own data, without knowing if it was correct.
  • The information arrived late and with little reliability.
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THE SOLUTION

Automation of information flow


  • Data is automatically integrated and validated.
  • Critical information is centralized and organized.
  • Errors are detected before the data is used.
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THE IMPACT

Less manual work, more reliance on data


The enterprise has changed the way it works with data.
Teams spend less time searching for, correcting and consolidating information, and more time analyzing what is happening and what decisions to make.

Modernize your data architecture

Search for information to obtain response

Fewer errors. More confidence in the data.


Automating data integration and validation reduces errors, speeds up access to reliable information and makes decisions more secure.