$15M
Poor data quality costs businesses an average of $15 million annually
20%
Improving data quality can increase marketing ROI by up to 20%
47%
47% of data-related initiatives fail due to poor data quality
Data Quality Elevate Business Performance with High-Quality Data
Improved Customer Experience
Deliver personalized interactions and improve engagement by maintaining a 360-degree view of your customer data across all touchpoints.
Faster Time-to-Market
Accelerate product launches and streamline service delivery by ensuring data accuracy and reducing bottlenecks in key processes.
Regulatory Compliance
Mitigate risks and meet regulatory requirements like GDPR, CCPA, and HIPAA with robust data governance, ensuring compliance and minimizing fines.
Optimized Operations
Reduce downtime and enhance operational efficiency through predictive maintenance and data-driven decision-making.
Seamless Cloud Integration
Enable smooth transitions to cloud environments by harmonizing data from on-premise systems with cloud solutions, supporting scalability and flexibility.
Data-Driven Innovation
Fuel AI and analytics initiatives with high-quality, real-time data that unlocks deeper insights and drives digital transformation.
Features & Capabilities AI Driven Data Quality
Data Assessment & Profiling
Conduct an in-depth data assessment to identify gaps, redundancies, and risks in your data ecosystem. Use profiling tools to assess data quality and readiness.
Data Cleansing & Transformation
Automate data cleansing processes to remove inconsistencies and duplicates, transforming raw data into structured, standardized formats for improved usability.
Data Governance & Compliance
Implement data governance frameworks, including roles, responsibilities, and automated workflows for managing compliance, security, and privacy.
AI-Driven Monitoring & Optimization
Continuously monitor data quality using AI-driven analytics, ensuring real-time improvements, scalability, and alignment with evolving business needs.
Quality Data, Quality Customers: A Retail Success
Artha, using Talend, enhanced data quality for a global retailer by implementing deduplication, address validation, and other measures, improving customer information accuracy and reducing redundancy.
Read Full Story
What Our Customers Say
Events
Accelerating Migration from Informatica with B’etl
Wednesday, 24 Sep 2:00 pm
Informatica PowerCenter 10.5 is reaching end-of-support. Join this exclusive webinar to learn how enterprises are migrating to Qlik Talend up to 70% faster using B’etl™, an automation-driven ETL migration accelerator. Watch a live job conversion demo and hear success stories from data leaders who saved time, cost, and effort while future-proofing their data stack.
Register Now
Artha Solutions & Qlik as Associate Partners for ET BFSI CXO Conclave 2025, Mumbai
Thursday, 21 Aug 9:00 am
Hotel Sofitel, BKC, Mumbai
Artha Solutions and Qlik are proud to join as Associate Partners at the ET BFSI CXO Conclave 2025, taking place on 21 August at Hotel Sofitel, BKC, Mumbai.
Future Bank India Conclave 2025: Data, Compliance & AI for Banks
Tuesday, 12 Aug 9:00 am
Sterling's Mac Hotel,
Bengaluru, India
Explore how Indian banks can achieve compliance, data maturity, and AI readiness to lead the digital future. This session highlights key trends, regulatory imperatives, and strategies to build secure, agile, and customer-centric banking ecosystems.
Blog Posts
By ThinkArtha Blog
5 Ways Talend Helps You Succeed At Big Data Governance and Metadata Management
The uses of Talend are multidimensional when it comes to Big Data Governance, making work easier for developers and managers alike. With legacy systems, many aspe...
Read MoreBy ThinkArtha Blog
How to Choose the Right Managed Cloud Services Provider for Your Business?
Businesses are increasingly relying on cloud services to support their business infrastructure (databases, performance, storage, networking), software, or service...
Read MoreBy ThinkArtha Blog
The Quest for Data Consistency
Data, as they say, is the new oil. But, like oil, data needs to be extracted, processed, and refined before it can be used effectively. Data quality is a crucial ...
Read MoreBy Goutham Minumula Artha Advantage, Blog, Data Management
Cloud-Based Data Pipelines: Architecting the Next Decade of Retail IT (2025–2030)
As we look ahead to 2030, the retail enterprise will not be defined by the number of stores, SKUs, or channels—but by how effectively it operationalizes data acro...
Read MoreBy ThinkArtha Blog
How Modernizing ETL Processes Helps You Uncover Business Intelligence
We live in a world of information: there’s a more significant amount of it than any time in recent years, in an endlessly extending cluster of structures an...
Read More