Data Quality Services

WE ARE SPECIALISTS IN DATA QUALITY MONITORING

We will put you in full control of your data so you can quickly detect and address quality issues before they impact your business.

The importance of data quality has never been greater

Data become ubiquitous and companies rely on it to create insights, optimize processes, and improve decision-making. The latest data industry shift into storing data in the data lakes or building a data mesh architecture has given data teams greater flexibility when it comes to managing their data assets. But this results in more data sources and increasingly complex data pipelines.

Delivering trusted data in this new context requires continuous data quality monitoring. Only then you can truly detect the data quality issues before they impact your business. Check our data quality services.

OUR DATA QUALITY SERVICES

We bring the practices, frameworks, and experience to ensure high-quality, trusted data. We are ready to jump in at any point of your data quality journey.

We created DQO, an open-source data monitoring platform that easily integrates with CI/CD pipelines, and supports code completion and multidimensional data quality tracking.

We detect data quality issues in the most popular databases

Our DATA QUALITY experience in numbers

3

clouds
(GCP, Azure, AWS)

10+

real-world sources used for cross-check validation

40+

suppliers monitored for data sharing KPIs

800+

custom data quality checks defined

1000+

tables observed daily

5000+

custom rules evaluated daily

Our DATA QUALITY experience in numbers

3

clouds
(GCP, Azure, AWS)

10+

real-world sources used for cross-check validation

40+

suppliers monitored for data sharing KPIs

800+

custom data quality checks defined

1000+

tables observed daily

5000+

custom rules evaluated daily

Our clients were featured in

When you should consider
a data quality initiative?

Data Migration

Your data warehouse is migrated to the cloud or a different platform. To ensure a successful migration you should also validate data integrity between the source and target system. This is also the right time to start taking care of your data quality.

Data Lake

You have a lot of unverified data coming into your data lake. Data is not loaded on time, and the data format in new files is wrong. Data quality rules for all data sources should be defined and tracked for all tables.

Data Mesh

You share data across data lakes and between teams. This is the right time to define and track data quality KPIs that are always met. No more invalid or missing data.

Data Sharing

You share data with your customers who require high-quality and timely data. Or perhaps you are a customer who receives data shared by your suppliers, marketing agencies, or related business entities. This is the right time to track data quality KPIs for timeliness, completeness and validity.

Industry-specific data quality challenges

Finance

Compare the data between relevant systems. Always make sure that the numbers you see on the dashboards are valid and match the ERP system.

Healthcare

Ensure regulatory compliance with the data stored in your data warehouses. Make sure that no data is missing or in the wrong format. Verify the format of HL7 messages.

Marketing

Track campaign performance and budgets with confidence that all the campaign data loaded into your data warehouse is up-to-date, complete and accurate.

What kind of problems do we measure?

Data quality dimension

Metric

Timeliness

Does the data always come on time?
What is the break-in data delivery?

Completeness

Has the data changed over time? Has the data not been corrupted?
Is the data complete? Has the data not been lost?

Validity

Is the data correct? Is the data in the correct format?
Does the data fit within the specified limits?

Consistency

Does the data change smoothly?
Are there any anomalies occurring?

Uniqueness

What is the percentage of unique data?

Other services we provide

Data Engineering

We can build data warehouses, data lakes, and data pipelines. We have experience in Big Data projects.

Business Intelligence

We can design dashboards and create data marts. Engage us for Google Data Studio or Power BI projects.

Custom Software

We can build custom software in the most popular tech stacks: Java, Python, .NET, React.js, and Vue.js.

Machine Learning

We specialize in anomaly detection and time series analysis.

LET’S TALK ABOUT YOUR NEXT PROJECT

Tell us about your data platform and problems and we will contact you as soon as possible.

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