Data Quality Services

Base your critical business decisions on accurate and reliable data.

Improve Data Quality to Make Better Decisions

When your data quality is poor, you can’t trust your reports and analysis when making critical business decisions. Over time, this can lead to missed opportunities and lost revenue. Implementing a data quality management (DQM) strategy that includes AI and machine learning gives you the reliable data you need to drive your strategic direction.

Adastra’s Data Quality services (DQM), paired with machine learning, lay the foundation for a data strategy that will inform all your decisions. With Adastra DQM, you can continuously monitor your data and improve its quality—and your planning—over time.  

 You’ll also enable your data-dependent processes and applications to deliver accurate insights that drive your digital transformation initiatives.  

Data Quality Management Benefits

Improved Accuracy

Complete, valid and up-to-date data empowers you to make your predictions, reporting and forecasting more accurate.

Reliable Analytics

High-quality data reduces variance in your analytical models to make them more accurate—while minimizing your data science effort.

Customer Insights

Gaining an accurate, real-time view of your customers helps you deepen relationships to boost engagement and reduce churn.

Cost Savings

Standardizing and consolidating your data helps you make better business decisions without risking costly financial missteps.
10x Faster Data Processing with an MDM Solution - square image.
Success Story

10x Faster Data Processing with an MDM Solution

A client in the music industry wanted to implement a reliable platform that provides clean data and analytics. Adastra developed an end-to-end master data management (MDM) solution based on Ataccama. Now, the client has accurate, on-demand data about the thousands of songwriters, composers and music publishers it represents.

50%

more accurate data

10x

faster data processing

3x

faster customer service

Data Quality Methodology

Adastra will tailor a customized solution that safeguards your assets using an iterative framework that aligns with your data governance initiatives.

Understand Your Data

Through activities such as data classification, metadata collection and data profiling we gain insight into your business objectives to help lay a foundation for your DQM strategy.

Measure Data Quality

We establish rules to determine your data assets’ reliability and validity. We will also set thresholds to identify quality-level classifications that help users assess information consistently.

Monitor Data Quality

During this stage, Adastra’s data quality experts create a formal process that tracks your data conformance over time and ensures it complies with your organization’s defined rules.

Improve Data Quality

We create automated rules and processes to meet your technical and business requirements using workflow processes including filtering, parsing, cleansing, de-duplication and enrichment.

Leverage ML

As stewards manually correct data quality issues, machine learning (ML) algorithms determine whether to automatically cleanse issues, adjust rules, or recommend integration efficiencies.

“We were aware that our data had quality issues and was not in great shape for our marketing and sales efforts, but the extent of these issues was unknown to us. Adastra’s D365 Data Quality solution served as an eye-opener and for the first time, we could see where the challenges lay and could resolve them easily. Since its implementation, our customer data has become more robust and we have seen significantly better returns on our marketing campaigns. We can now confidently say that our strategic decisions are based on high quality data.”

Client’s EVP Marketing and Sales

Explore More Data Governance Solutions

Adastra has a wealth of knowledge and experience in implementing data governance strategies. We leverage our expertise to provide leadership and guidance, bringing your data to life.

Data Governance Services and Consultancy

Ensure data across all your systems is trusted, accessible and understood. 

Master Data Management

Align all your processes, policies, people and technologies around data creation and maintenance—giving everyone a single version of the truth they can leverage for critical insights.

Reference Data Management

Maintain accurate, consistent and standard reference data across your organization. Standard and governed processes allow you to trace data and maintain a 360° view of your operations.

Metadata Management

With Adastra’s Metadata Management Services, you can easily track data as it moves across your organization. Gaining fast access to this information can improve your decision-making and compliance. 

Data Mesh  

Bring order to vast amounts of data. Adastra will help you divide large amounts of information into manageable units or data domains that are easy for teams to analyze independently. 

Data Lineage 

Minimize the risk of data quality deterioration by tracking information as it moves across systems and maintaining detailed information about its targets, transformations, mappings and transitions.

Improve your data quality and deliver accurate, timely insights with Adastra.