Data Quality Services

Base your critical business decisions on accurate and reliable data.

Effortlessly Ensure Data Quality for Critical Decisions

Data quality issues typically emerge unnoticed, hindering your business goals. Poor data quality makes it difficult to trust reports and analytics, ultimately leading to missed opportunities and lost revenue.

We proactively uncover and tackle the root causes by deeply analyzing your data environment and identifying key areas for enhancement. Implementing a data quality management (DQM) strategy with Adastra gives you the reliable data you need to make informed, strategic decisions that drive business goals.

Trusted by

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

We’ve discovered that our colleagues are spending 40-50% of their time, which could be dedicated to actual analysis and interpretation, on acquiring and cleaning data. It was a common occurrence that data from one system couldn’t be matched with another. Alternatively, the same query would yield two different answers from two different individuals.

Eva Netusilova

Senior Manager, Strategic Asset Management, GasNet

Benefits of Data Quality Management

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 efforts.

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.

PDCA Empowerment

Align with the PDCA cycle and enable ongoing quality enhancements.

Proactive Data Quality

Prevent data quality issues and stop bad data from entering your systems, automatically detect missing values, duplicates, outliers and inconsistencies.

Customized Solutions for Diverse Data Quality Needs

Data quality is subjective and varies across contexts. Our Data experts specialize in customizing solutions to align with your organization’s specific data requirements. Our expertise spans a variety of areas:

Data Quality

  • Data profiling
  • Data cleaning and transformation
  • Automated data quality rules
  • Data quality measurement and monitoring

Data Quality Advisory

  • Data quality coaching – guidance on data quality challenges
  • Defining a data quality vision and roadmap
  • Data quality tool assessment and recommendation

Data Cleansing

  • Data migrations
  • Data consolidations
  • Other similar instances

Quality and Up-to-Date Data

  • Unified reporting
  • Fraudulent activity/anomaly detection
  • GDPR compliance

IT and Business Collaboration

  • Defining a business glossary
  • Sharing knowledge about data
  • Cooperation in defining a network of codebooks

Data Quality Methodology

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

1

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.

2

Measure Data Quality

We establish rules to determine the reliability and validity of your data assets. We will also set thresholds to identify the level of quality of data, helping users assess information consistently.

3

Monitor Data Quality

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

4

Improve Data Quality

We create automated rules and processes to meet your technical and business requirements. We do this with workflow processes such as filtering, parsing, cleansing, deduplicating and enriching data.

5

Leverage AI

Eliminate manual work for data stewards by leveraging AI and machine learning (ML) algorithms to determine whether to automatically cleanse data quality issues, adjust the rules, or recommend integration efficiencies.

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

Success Story

Data Platform in the Cloud with Enhanced Data Governance

A leading company in the utility sector in Czechia has achieved a unified reporting and analytics source through a newly established data platform in the cloud, powered by AWS technology. Adastra played a pivotal role in implementing data governance processes and establishing a data competence center. Consequently, the company now approaches data quality management conceptually.

  • Centralized Data Repository: All data is aggregated in one central location.
  • Streamlined Data Preparation: Significantly reduces the need for manual data handling.
  • Controlled Data Sharing: Prevents unregulated data exchange among employees.
  • Robust Data Governance: Successfully established a functioning data governance system.
Success Story

Client 360: Complete Client Perspective for Energy Sector Leader

We delivered a holistic view of customer data to the leading company in the Czech energy market. This encompassed crucial details like customer addresses, consumption point locations, and communication histories, enriched by a unified validation component for new customer data entries. As a result, we significantly enhanced data quality through unification and consolidation, which positively influenced the company’s reporting capabilities.

Initially, the company contemplated developing an in-house data quality solution. However, financial analyses revealed that customizing an existing solution would be more cost-effective than building a new one from scratch. Consequently, they opted for implementing Ataccama, which already offered most of the desired functionalities, including pre-built data quality rules and processes. Additionally, we capitalized on the flexibility of microservices, allowing for their repeated integration within the company’s intricate IT architecture.

The client thus acquired a comprehensive solution for ongoing and batch data cleansing, enrichment, and deduplication, seamlessly integrated into its existing IT infrastructure.

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.

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 the Quality of Your Data with Adastra