Data cleaning

Reduce the time spent on preparing and cleaning data sets

Data cleaning

Great analytic results rest on clean data. Our solutions and tools will dramatically speed up data cleaning efforts. We’ve worked on hundreds of data sets and formats, and can best advise how to prepare data so it’s in line with your big data processes.

We can help you

Clean up raw data

We will show you how to reduce the time data scientists spend cleaning data.

Prepare your data

You will learn how to employ best practices of data preparation.

Set data types

We will advise you on how to unify formatting and set appropriate data types.

Protect your data

We will deploy a monitoring mechanism that warns against data corruption and delivers the fastest data recovery solution.

We save your time

The ability to solve some of the hardest data analyses and problems with data is heavily dependent on data quality. Data today comes in various structures and keeps on evolving, which makes it challenging to keep “garbage” data out. This can consume the majority of a data scientist time. Our data cleaning solution will save your scientists a lot of time.

Are you interested in our services?

Contact us

Read our blog

[LWM] Entity recognition 2

[LWM] Entity recognition 2

06. 7. 2022Read more [LWM] Entity recognition 2
[LWM] NLP: Bag-of-words

[LWM] NLP: Bag-of-words

06. 7. 2022Read more [LWM] NLP: Bag-of-words
[LWM] NLP: Text summarization

[LWM] NLP: Text summarization

06. 7. 2022Read more [LWM] NLP: Text summarization

We must know, we will know

Expert team in big data and AI

Our team has presented hundreds of insights in many possible formats. We use tools and methods developed and used by scientific teams dedicated to research.

Tailored approach

We strongly consider the existing business environment, capabilities to execute and skill of the staff. This enables us to provide minimum risk and bring quick success to your company.

Working with the best innovators

Cloudera, Microsoft, Clever Analytics, Apache Kafka, Apache Spark, Power BI, Tableau, Jupyter Notebooks