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Business Efficiency with AI
Why Cloudester is a Trusted Data Quality Assurance Partner
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More than 13 years of experience in strong data analytics expertise to detect, monitor, and improve data quality across complex environments
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End-to-end data warehouse services for structured data integration, storage, and cleansing
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Delivery of scalable business intelligence solutions that rely on high-quality, reliable data
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Proven big data services to manage, validate, and govern large volumes of structured and unstructured data
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Comprehensive data quality assurance services tailored to your industry and technology stack
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ISO 27001 certified to ensure data security and compliance throughout all quality assurance processes
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Experience serving diverse 30+ industries including healthcare, finance, logistics, retail, and more
Our Data Quality Assurance Services
We provide tailored data quality services to help businesses improve data accuracy, consistency, and readiness for analytics.
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Data Quality Consulting
- Our data quality assurance experts team provide strategic support to solve common and complex data quality challenges, such as:
- Fixing data issues in enterprise software systems (ERP, CRM, etc.)
- Supporting data migration to new systems
- Analyzing and identifying opportunities to improve data quality
- Resolving inconsistencies across different departments and platforms.
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Data Quality Assessment
- We evaluate the trustworthiness of your reports and dashboards by:
- Defining data quality thresholds and rules
- Checking data accuracy, completeness, and structure
- Performing root cause analysis on recurring quality issues
- Designing tailored improvement plans
- Implementing continuous data quality management
- Monitoring data changes and reporting on variations.
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Managed Data Quality Assurance
- A time and material monthly service that includes:
- Full data quality checks based on business rules and standards
- Scheduled audits and improvement reports
- Continuous monitoring of data flows and variations
- Expert-led resolution of persistent data issues.
Types of Business Data We Analyze and Validate
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ERP
Finance, HR, Supply Chain, Sales, Marketing, etc.
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CRM
Lead profiles, account updates, and communications
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SCM
Inventory, procurement, shipping, and vendor data
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HR
Payroll, recruitment, and employee records
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Ecommerce
User activity, product data, and transactions
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Departmental Systems
Data from sales, support, and IT operations
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Industry-Specific
Data for healthcare, finance, telecom, etc.
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Legacy Systems
Historical data stored in outdated platforms that require transformation and validation
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Cloud Applications
Data from SaaS platforms like Google Workspace, Microsoft 365, Salesforce, and more
Key Benefits of Cloudester’s Data QA Services
We go beyond fixing random data errors. Our process delivers full visibility using well-defined data quality metrics that ensure accuracy, consistency, and reliability across your systems.
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Consistency
- No conflicting values across systems
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Accuracy
- Information is clean, correct, and error-free
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Completeness
- All required data is available and traceable
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Auditability
- Full transparency for every data change
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Orderliness
- Structured, properly formatted data
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Uniqueness
- Duplicate records flagged and removed
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Timeliness
- Data reflects real-world updates on time
How We Keep Your Business Data Secure and Compliant
Cloudester is ISO 27001 certified and follows strict protocols to secure your business data:
- We sign NDAs to protect confidential information.
- Our team uses secure infrastructure audited by certified security experts.
- We follow strict internal policies for handling external and internal data.
Explore more our Testing Services
Our Technology Stack
AI Development Services
Python
.NET Core
Java
AI Development Tools
Jupyter / Anaconda
Colab
Kaggle
Cloud Computing Platforms
AWS
Azure
Google Cloud
DevOps
Synk
JFrog
Jenkins
Frameworks / Libraries
Tensor Flow
PyTorch
Keras
Data Storage & Visualization
Big Query
Power BI
Tableau
Awards























Certification
Challenges We Help Solve
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Data Consolidation in M&A
We help companies streamline and clean data from different systems (ERP, CRM, HR) during mergers and acquisitions. Our experts standardize formats, eliminate duplicates, and unify records across platforms.
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Managing Big Data Volumes
With big data, not every field can be perfect. We find the right balance across accuracy, completeness, and consistency to ensure your large datasets remain trustworthy and manageable.
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Persistent Quality Issues
Our QA specialists dig into root causes using targeted analysis, especially for recurring problems in CRMs, ERPs, and CMS platforms.
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FAQs about Data Quality Assurance
Data Quality Assurance Services help businesses ensure their data is accurate, consistent, complete, and reliable. These services include profiling, validation, cleansing, and monitoring processes to improve data quality across various systems and support informed decision-making.
High-quality data is essential for business intelligence solutions because it ensures the reports, dashboards, and insights are accurate and trustworthy. Poor data quality can lead to misinformed decisions and missed opportunities, making data quality assurance a critical part of BI success.
Cloudester uses a combination of data profiling, validation, and cleansing techniques guided by proven data quality metrics. Our team applies automated tools and manual expertise to assess and fix data issues, ensuring your data is complete, consistent, and actionable.
We validate data from a wide range of systems, including ERP, CRM, SCM, HR platforms, ecommerce applications, legacy systems, and cloud applications. We also handle industry-specific and departmental data to support comprehensive business needs.
Reliable data is crucial for successful data warehouse services. Poor data quality can cause data integration issues, unreliable reporting, and flawed analytics. Our quality assurance services help keep warehouse data structured, clean, and ready for analysis.
Yes. Our team specializes in managing big data quality using scalable tools and intelligent processes. We help identify and resolve inconsistencies, missing values, duplicates, and outliers, even across large and complex datasets.
We focus on essential metrics such as accuracy, completeness, consistency, timeliness, uniqueness, orderliness, and auditability. These metrics help us evaluate the overall health of your data and prioritize improvements.
Yes, Cloudester offers managed data quality assurance services on a subscription basis. We handle ongoing monitoring, validation, anomaly detection, and resolution so you can focus on business growth while we safeguard your data integrity.
Yes. Cloudester is ISO 27001 certified, which means we follow globally recognized best practices to ensure the confidentiality, integrity, and availability of your business data throughout the QA process.
Getting started is simple. Contact us for a consultation, and we will assess your current data landscape. From there, we will define your data quality goals, propose a tailored solution, and start improving your data with our analytics expertise.
We provide the SRS documentation to the client. The code will have comments to facilitate easy comprehension. Our documentation is comprehensive and self-explanatory.
Yes, Cloudester signs a Non-Disclosure Agreement before any software solution development discussion. Also, an NDA is an integral part of the Master Services Agreements we sign with clients.
This clause is covered in the IP contract, and NDA is also signed between us and the customer specifying the same. In addition, we audit our processes and train employees on a regular basis. These efforts ensure that our customers' intellectual property is always secure.