Data Quality Services
Base your critical business decisions on accurate and reliable data.
Empower Your Business with Scalable Data Warehousing Solutions
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.
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
- 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
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 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.
Monitor Data Quality
Our 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.
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.
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.
Success Story
10x Faster Data Processing with an MDM Solution
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.
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
we have 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.
