Data Quality

Data Quality

Data Quality

Data Brilliance, Delivered: Quality in Every Query.

Data Brilliance, Delivered: Quality in Every Query.

Data Brilliance, Delivered: Quality in Every Query.

Illustration featuring a person sitting on a blue beanbag, working on a laptop with graphs on the screen, symbolizing data analysis and assurance of quality in data queries.
Illustration featuring a person sitting on a blue beanbag, working on a laptop with graphs on the screen, symbolizing data analysis and assurance of quality in data queries.
Illustration featuring a person sitting on a blue beanbag, working on a laptop with graphs on the screen, symbolizing data analysis and assurance of quality in data queries.
Illustration featuring a person sitting on a blue beanbag, working on a laptop with graphs on the screen, symbolizing data analysis and assurance of quality in data queries.

In business and data engineering, data quality is key for effective decision-making.

In business and data engineering, data quality is key for effective decision-making.

In business and data engineering, data quality is key for effective decision-making.

Quality data is vital for strategy, customer interactions, and insights from analytics. Accurate data is crucial, as advanced strategies and algorithms need reliable data to work well. For businesses, good data quality is essential for success.

Quality data is vital for strategy, customer interactions, and insights from analytics. Accurate data is crucial, as advanced strategies and algorithms need reliable data to work well. For businesses, good data quality is essential for success.

Quality data is vital for strategy, customer interactions, and insights from analytics. Accurate data is crucial, as advanced strategies and algorithms need reliable data to work well. For businesses, good data quality is essential for success.

Experian Data Quality's survey found that 94% of organizations report

inaccuracies in their customer data, leading to negative consequences.

Experian Data Quality's survey found

that 94% of organizations report

inaccuracies in their customer data,

leading to negative consequences.

Experian Data Quality's survey found

that 94% of organizations report

inaccuracies in their customer data,

leading to negative consequences.

IBM's study found that poor data quality costs the U.S. economy

about $3.1 trillion yearly.

IBM's study found that poor data quality

costs the U.S. economy about $3.1

trillion yearly.

IBM's study found that poor data quality

costs the U.S. economy about $3.1

trillion yearly.

The Data Warehouse Institute reports poor data quality costing businesses

$600 billion annually.

The Data Warehouse Institute reports poor

data quality costing businesses $600

billion annually.

The Data Warehouse Institute reports poor

data quality costing businesses $600

billion annually.

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Facets of Data Quality

Facets of Data Quality

Facets of Data Quality

Icon depicting a 3D cube with target symbol in the center, emphasizing the importance of precise and correct data that accurately represents real-world values.

Accuracy

Accuracy

Accuracy

Accurately represent the real world values.

Icon of an open 3D box with two flaps detached, signifying the importance of having all necessary data available for informed decision-making.

Completeness

Completeness

Completeness

All necessary data is available for decision making.

Icon showing two 3D boxes, with curly brackets around them, which refers to the uniformity and harmony between datasets and systems.

Consistency

Consistency

Consistency

Data consistency between datasets/systems.

Icon of a 3D cube with a clock on the front, emphasizing the importance of having up-to-date information for effective data management.

Timeliness

Timeliness

Timeliness

Is the data up to date?

con of a 3D cube with equal squares on the front, signifying the importance of data validation in quality control.

Validity

Validity

Validity

Does data follow all the underlying rules, formats, data types, etc?

Icon depicting two cubes with a smaller white cube superimposed on a larger blue cube, representing the importance of eliminating duplicate records to ensure the integrity of data events.

Uniqueness

Uniqueness

Uniqueness

Duplicated records will misrepresent the real data events.

Icon of a 3D cube with a crack on the front, symbolizing the concept of reliability and validation of data.

Reliability

Reliability

Reliability

Is the data trustworthy over time? How can we check for this?

Icon of a 3D cube with magnifying glass on the front, emphasizing data visibility.

Visibility

Visibility

Visibility

Everyone should be able to view the current status of the data.

Solutions

Solutions

Solutions

Data Contracts

Data Contracts

Data Contracts

Data Contracts between data producers and data consumers. The need for an agreement between two parties exchanging data is fundamental and data contracts are the answer to a lot of data quality issues. 

Data Contracts between data producers and data consumers. The need for an agreement between two parties exchanging data is fundamental and data contracts are the answer to a lot of data quality issues. 

Data Contracts between data producers and data consumers. The need for an agreement between two parties exchanging data is fundamental and data contracts are the answer to a lot of data quality issues. 

Illustration of a person in a blue shirt interacting with a large digital screen displaying lines of text, symbolizing the creation or management of data contracts between data producers and consumers.
Illustration of a person in a blue shirt interacting with a large digital screen displaying lines of text, symbolizing the creation or management of data contracts between data producers and consumers.
Illustration of a person in a blue shirt interacting with a large digital screen displaying lines of text, symbolizing the creation or management of data contracts between data producers and consumers.
Graphic of a puzzle piece connecting with other pieces, with a gear icon symbolizing the mechanics of processes, with celestial elements.
Graphic of a puzzle piece connecting with other pieces, with a gear icon symbolizing the mechanics of processes, with celestial elements.
Graphic of a puzzle piece connecting with other pieces, with a gear icon symbolizing the mechanics of processes, with celestial elements.

By Design

By Design

By Design

A holistic approach to data quality and different tools and design per data quality categories. Data integrity from sources requires different tools than data quality unit checks within the transformation layer.

A holistic approach to data quality and different tools and design per data quality categories. Data integrity from sources requires different tools than data quality unit checks within the transformation layer.

A holistic approach to data quality and different tools and design per data quality categories. Data integrity from sources requires different tools than data quality unit checks within the transformation layer.

Integrated

Integrated

Integrated

Validation of data through quality checks after each code change (through a CI pipeline) and data change (at each iteration of your data pipeline)

Validation of data through quality checks after each code change (through a CI pipeline) and data change (at each iteration of your data pipeline)

Validation of data through quality checks after each code change (through a CI pipeline) and data change (at each iteration of your data pipeline)

Illustration of various data management icons, including a clock, server racks, database, and bar chart, all encircled, and with stars around it.
Illustration of various data management icons, including a clock, server racks, database, and bar chart, all encircled, and with stars around it.
Illustration of various data management icons, including a clock, server racks, database, and bar chart, all encircled, and with stars around it.
Illustration showing a browser window with a pie chart and a gear icon, accompanied by a telescope, with stars around it.
Illustration showing a browser window with a pie chart and a gear icon, accompanied by a telescope, with stars around it.
Illustration showing a browser window with a pie chart and a gear icon, accompanied by a telescope, with stars around it.

Constant Monitoring

Constant Monitoring

Constant Monitoring

Data Quality issues can go undetected in your CI pipelines and it is important to check for statistical deviations from one push to another.

Data Quality issues can go undetected in your CI pipelines and it is important to check for statistical deviations from one push to another.

Data Quality issues can go undetected in your CI pipelines and it is important to check for statistical deviations from one push to another.

Ownership

Ownership

Ownership

It should be your responsibility to ensure that data is up to standard, one error might compromise the trustworthiness of the client/consumer even after fixing it.

It should be your responsibility to ensure that data is up to standard, one error might compromise the trustworthiness of the client/consumer even after fixing it.

It should be your responsibility to ensure that data is up to standard, one error might compromise the trustworthiness of the client/consumer even after fixing it.

Graphic of a person in a blue suit gesturing towards a large padlock, set against a dark background with small, star-like symbols.
Graphic of a person in a blue suit gesturing towards a large padlock, set against a dark background with small, star-like symbols.
Graphic of a person in a blue suit gesturing towards a large padlock, set against a dark background with small, star-like symbols.

Technologies

Technologies

Technologies

We use the best combination of open-source and enterprise tools

to tackle data quality under all its forms.

We use the best combination of open-source and enterprise tools

to tackle data quality under all its forms.

We use the best combination of open-source and enterprise tools

to tackle data quality under all its forms.

Why us

Why us

Why us

We prioritize data quality, employing strong systems and partnerships with leading tools to ensure your business has reliable data for informed decisions.

We prioritize data quality, employing strong systems and partnerships with leading tools to ensure your business has reliable data for informed decisions.

We prioritize data quality, employing strong systems and partnerships with leading tools to ensure your business has reliable data for informed decisions.

Robust

systems

Robust systems

Robust

systems

Partnerships with leading tools

Partnerships with leading tools

Partnerships with leading tools

Managed data quality

Managed data quality

Managed data quality