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Product
Solutions

Job Function

Data Area

JOB FUNCTION

Data Scientists

Monitor data quality in the data
used for machine learning

Data Engineers

Prevent loading invalid data
through your data pipelines

BI Developers

Detect data quality issues before
the business sees incorrect
numbers on dashboards

Data Operations

Detect potential issues with data
pipelines

DevOps

Keep the data quality checks
along with the data pipeline code

Data Stewards

Continuously monitor the quality
of the data

DATA AREA

Data governance

Monitor data quality through
unified data quality metrics

Business intelligence

Let your dashboards always show
valid numbers

Data Ingestion

Ensure that your data sources are
pulled correctly

Data lake

Bring data governance to the data
lake

Data warehousing

Trust all the stages of your data
warehouse

Data sharing

Ensure that the data sharing KPIs
are met

Integrations
Pricing
Company

Our vision on data quality

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Professional services

Let our team plan your data quality strategy

Report problems and get help

Offer quality services to your customers

• Prove data quality with KPIs
• Build custom data quality dashboards
• Compare data in migration projects

Resources

Get the latest from DQOps and everything
related to data quality monitoring

Deep dive into product set up, div concepts,
user guides and use cases.

How to install >

Quick start with DQOps >

A step-by-step guide which will teach you how to • Organize a data quality project
• Measure the data quality with KPIs
• Monitor and improve quality over time

Documentation

DQOps Blog

Discover expert insights and best practices to enhance your data quality monitoring on our blog. Stay updated and competitive in data management.

Data Architecture for Data Quality cover

Data Architecture for Data Quality – Examples and Best Practices

How to create and use a data quality requirements template to collect data quality requirements from data stakeholders

Data Quality Requirements Template – Examples of Rules and Best Practices

Data quality regulatory compliance

How to Meet Data Quality Regulatory Compliance – Best Practices and Examples

Table priority levels in data quality projects

Table Priorities in Data Quality Projects – Best Practices in Prioritizing Tasks

Benefits of Data Quality – Who Needs Data Quality, Why and the Value Proposition for each Role

What is a Data Platform Lifecycle? Definition, Examples and Best Practices in Ensuring Data Quality

4 types of data quality

Definition of Data Quality Maturity Levels – Descriptive, Diagnostic, Predictive, Prescriptive

Data Cleaning vs Data Cleansing – Definition, Examples and Best Practices

Passive vs Active Metadata Management – Definition, Examples, Best Practices

What is a Data Product? Definition, Examples and Best Practices

What is a Data Quality Issue? Definition, Examples and Best Practices in Improving Data Quality

What is a Data Asset? Definition, Examples and Best Practices in Data Management