90%
Achieve 90% data accuracy through real-time data validation and reconciliation
80%
80% Reduction in Outages with Proactive outage prediction using data intelligence
70%
Reduced service downtime by 70% using predictive analytics
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
Testimonial What Our Customers Say
Cleansing and consolidating consumer data enables us to deliver the kind of personalized experience today's consumers deserve and expect. –
Steve Brennan, Vice President, Data Strategy & Analytics
Events
Role of AI in SAP S/4HANA Projects
Wednesday, 26 Feb 11:30 am
Zoom Webinar Platform
Join this webinar to discover how AI and the Qlik Product Suite streamline S/4HANA migrations, reduce risks, optimize test data, and explore the future of AI in SAP landscapes.
Register Now!
SAP Data Modernization and S/4HANA Migration
Thursday, 20 Feb 5:00 pm
Zoom Webinar Platform
Join us for an insightful webinar on "SAP Data Modernization - A Journey Towards S/4HANA in Industry 4.0," where industry leaders will explore how businesses can leverage cloud integration, IoT sensors, and modernized databases to prepare for a seamless migration to S/4HANA.
Register Now!
SAP Data Governance in S/4HANA
Wednesday, 12 Feb 10:30 am
Zoom Webinar Platform
Unlock the full potential of your SAP systems in Indonesia's evolving digital landscape, especially with the introduction of the Personal Data Protection (PDP) Act.
Register Now!Blog Posts
By ThinkArtha Blog, Talend
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For a long time, Digital Transformation existed as a futuristic organizational fantasy but quickly transformed into a reality as the pandemic took over the world....
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Strategic Data Governance in thec: A Bengaluru Masterclass
Last Thursday, July 25th, Bengaluru played host to a thought-provoking event, “Strategic Data Governance in the Age of AI,” jointly organized by Artha Solutions a...
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Achieve better performance with an efficient lookup input option in Talend Spark Streaming
Description Talend provides two options to deal with lookup in Spark streaming Jobs: a simple input component (for example: tMongoDBInput) or a lookup input compo...
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