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.
Use Cases Artha offers 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.
Whitepaper
Read our whitepaper on How a leading retail banking provider, faced challenges managing vast customer data, has achieved excellence with Data Governance and Customer 360.
Download Now!Features & Capabilities Advanced Analytics At Your Fingertips
Scalability & Performance
Handles increasing data volume, variety, and velocity eciently, 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.
Testimonial What our Customer Say
Events
Learn about data protection & DPDP Act by GoI
Friday, 2 Jan 3:00 pm
Master the ins and outs of data regulations, ensuring your business stays ahead of the curve.
Register Now!
Taming the Data Deluge in Banking Sector
Thursday, 9 Jul 3:00 pm
Hotel Trudo, Ontario, Canada
Master the ins and outs of data regulations, ensuring your business stays ahead of the curve.
Register Now! From Siloed to Strategic Data Transformation
Saturday, 8 Jul 3:00 pm
Jakarta Vibes, Bali, Indonesia
Master the ins and outs of data regulations, ensuring your business stays ahead of the curve.
Register Now!Blog Posts
By thiadmin 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 ...
Read MoreBy thiadmin Blog
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 ...
Read MoreBy thiadmin Blog
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 thiadmin 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. Th...
Read MoreBy thiadmin Blog
The Role Of Microsoft Azure Datalake 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 Covis-19 pandemic. As pr...
Read More