Optimize Business Outcomes through Enhanced Data Accuracy

Empowering Decision-Making with High-Quality Data

Build Data Confidence by Securing Data Quality

The data quality monitoring and management techniques implemented by United Techno specialists help detect, prevent, and auto-correct data shortcomings. Assured data quality provides more relevant insights, facilitates improved decision-making, increases business value, and generates higher trust among stakeholders.

United Techno, with its combination of high-performance software tools, experienced consultants, and proven techniques for protecting and monitoring enterprise data, has become a trusted choice for enterprises.

Our Approach to Maintaining Data Quality Standards

Poor data quality might result in incorrect analysis, uninformed decision-making, and lower standards of efficiency. United Techno's approach assures the optimum standards of quality.

Profiling and Controlling the Incoming Data

Automated data validation tools to examine:

Data formats
Consistency in the data
Value distributions and anomalies

Designing Accurate Data Pipelines

Our efforts to avoid duplicate data include:

Data governance program
Centralized data assets management
Logical designing of data pipelines

Adequate Requirement Gathering

We solve challenges like:

Data analysis and communications
Capturing data conditions and scenarios
Documentation with access centers

Enforcing Data Integrity

Our team enforces data integrity so that:

The referenced data remains relevant
Data quality remains a priority, with growing data volumes
Referential integrity is maintained

Integrating Data Lineage Traceability

United Techno’s standard techniques include:

Unique keys for each dataset for easy tracing
Building a unique sequence number
Logging data change in a log table

Continuous Improvement and Communication

We foster development through:

Updating and reviewing quality standards
Collaboration among stakeholders for challenges
Communication for resolving issues

Data Quality Brings Great Value Addition to Business Enterprises

At United Techno, we leverage a range of tools and techniques to ensure the utmost quality of your data. Our approach encompasses:

Consistency: We establish uniformity within a single data repository and across multiple repositories, for coherence across the data landscape.
Reliability: The information extracted from our data is accurate and dependable, for a seamless workflow enhancing productivity.
Timeliness: The data we deliver adheres to specific timeframes or per established corporate standards.

Verifiability: United Techno’s data quality services ensure accessibility and transparency, to trace and verify the changes we implement.
Structure: Our curated data adheres to prescribed formats and structures, enhancing the usability and effectiveness of your data assets.
Uniqueness: We eliminate data duplication, where each record with specific details appears only once within the database.

Why Choose Us?

Elevate your experience by partnering with us! We harness the potential of automation to eradicate manual errors, leading to substantial cost savings.
Enjoy rapid project completion with our efficient turnaround time. Our team is dedicated to fulfilling your project needs with a focus on long-term success.
With over a decade of excellence in data engineering services and the implementation of Business Intelligence solutions, we offer unparalleled expertise. Our experience spans diverse industries, equipping us to navigate industry-specific standards and regulations seamlessly.

Data Quality Management Services We Offer

Our data quality team strives to ensure your data ecosystem delivers optimum performance. The services included are:

Data Profiling

We help clients eliminate risks by providing a complete, accurate, and simplified view of their data, regardless of the count of incoming sources. We also measure data overlap between sources to extract better analytical outcomes. This is an iterative process, and we offer continuous support to maintain high standards of quality.

Data Cleansing and Enrichment

Our services cleanse and standardize data without the need for any coding. Also, the APIs developed by us can automate the whole process. Data stored across platforms, applications, and databases are cleaned of inconsistencies. We provide AI-based enrichment and data standardization too.

Data Integrity Maintenance

Referential integrity validation prevents data anomaly and inconsistency. We define the rules and constraints on how to govern the relationships among data elements, in a relational database. We also create roadmaps for an effective business rule validation within their data quality management framework.

Data Quality Audits and Assessments

United Techno specializes in comprehensive audits and assessments empowering businesses to maintain impeccable data standards. Our approach identifies weaknesses and transforms them into avenues for growth, for clients to make informed decisions.

Data Completeness

United Techno data engineers possess the skills to ensure data sets contain all necessary information without gaps or missing values. We achieve this by automating file comparison and implementing additional strategies such as data validation, quality checks, data entry controls, data governance, and more.

Analytics Dashboard Validation

Our data quality assurance team ensures that the information displayed in the data insights dashboard is trustworthy and can be utilized to make informed decisions. It includes functionalities that enable deep drilling into the underlying data points for users to explore the data in detail. Regular reviewing and validation is required too.

Proficiency in Diverse Business Data Streams

ERP data from Finance, HCM, Supply Chain, Sales, Marketing, and other modules
Supply chain management (SCM) data expertise includes suppliers, product master, catalog, inventory, shipping, procurement, transportation and logistics, etc.
Customer Relationship Management (CRM) details like customer profiles, leads, accounts, communication progress updates, Customer 360, etc.

E-commerce data includes website behaviors, transaction logs, and others
Industry-specific data including Lifesciences, Healthcare, Retail, Logistics, Banking, and Insurance
Data for Windows applications that retrieve information from the database to deliver services to end customers