USD 268.4B
Global big data industry is expected to reach a valuation of USD 268.4 billion by 2026
91.9%
91.9% of companies saw a discernible return on their data and analytics efforts
180 ZB
The entire quantity of data produced, saved, and used worldwide will exceed 180 zettabytes by 2025
Innovative and Bespoke Data-driven Solutions Across Industries
Predictive Analytics for
Demand Forecasting
By analyzing historical data and real-time market trends, Big Data can predict future demand, helping businesses optimize inventory levels, improve production planning, and align resources more effectively to meet customer needs.
Customer Segmentation for
Targeted Marketing
Enables organizations to segment their customer base by analyzing various attributes such as demographics, behavior, preferences, and purchasing patterns. This allows for more targeted marketing campaigns, leading to improved engagement and higher conversion rates.
Anomaly Detection for Security
and Risk Management
Leveraging Big Data, companies can monitor large volumes of data in real-time to detect anomalies and potential threats. This helps in identifying suspicious activities, managing risks, and preventing security breaches or financial fraud.
Optimizing Resource Utilization
Big Data analytics can help organizations optimize the use of resources such as energy, materials, or human capital by analyzing patterns of consumption, usage, and efficiency. This leads to cost savings, reduced waste, and improved operational efficiency.
Improving User Experience
through Personalization
By analyzing user interactions, preferences, and feedback, organizations can personalize the user experience across digital platforms. This enables them to offer customized recommendations, streamline user journeys, and enhance overall customer satisfaction.
Real-Time Analytics
for Decision Support
Enables real-time analytics that provide organizations with immediate insights into ongoing operations. This helps in making data-driven decisions on the fly, optimizing performance, responding to emerging trends, and adjusting strategies rapidly.
Features & Capabilities Advanced Analytics At Your Fingertips
Scalability & Performance
Handles increasing data volume, variety, and velocity efficiently, without sacrificing performance to accommodate growth.
Real Time Data Processing
Processes and analyzes data in real-time or near real-time, providing immediate insights for applications like fraud detection, monitoring, and personalized recommendations.
Data Ingestion and Integration
Ingests data from diverse sources, including structured, semistructured, and unstructured data. Provides seamless integration with existing systems and databases.
Advanced Analytics and Machine Learning Integration
Supports advanced analytics, including predictive analytics, machine learning, and AI. This allows users to build, train, and deploy machine learning models, enabling deeper insights, automated decision-making, and data-driven products.
User-Friendly Interface
User-friendly interface allows non-technical users to explore data, generate reports, and create interactive dashboards, empowering more people to make data-driven decisions.
Transforming Data Management Through Big Data Technologies
Artha Solutions introduced Big Data technologies to support the growing demands of the competitive business landscape.
Read Full StoryTestimonial 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
Artha Solutions has transformed our organization by revolutionizing data management with innovative solutions, exceptional expertise, and a steadfast commitment to excellence, delivering unmatched accuracy, efficiency, and value across all areas.
Gopichand Padikala Head of Digital & Analytics
Events
SAP Data Governance in S/4HANA
Tuesday, 4 Mar 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!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!Blog Posts
By ThinkArtha Blog
How To Overcome 9 Common Data Governance Challenges
Overcoming Data Governance Challenges- As data becomes the most household word of the decade, the discussions about data governance are massively confusing. Some ...
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The Evolution of Digital Transformation Services in Banking
Shifting from traditional banking services to the digital space is only one aspect of digital transformation services. The way in which banks and other financial ...
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Decoding Efficiency: The Transformative Role of Data Catalogues in the Financial Sector
Data catalogues play a pivotal role in organizations by assisting in managing, organizing, and governance of data assets. This not only enhances operational effic...
Read MoreBy ThinkArtha Blog
Fastest MDM Rollout
Introduction Carhartt Inc., a prominent clothing and sporting goods company, has been into manufacturing and supplying of work wear apparels since 1889. They have...
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The Role Of Microsoft Azure Data Lake in Healthcare Industry
The Healthcare industry has surprisingly evolved to be the producers of maximum amount of data in the current times, especially after the Covid-19 pandemic. As pr...
Read More