Advance Data Analytics
Transform data into actionable insights with advanced analytics solutions, driving strategic decisions and business growth.
Trends in Predictive Data Analytics
Believe it or not, we have been analyzing data for ages, and analyzing large volumes of data is not new. However, getting the results faster and more accurately is the result of the evolution of Big Data & Predictive Data Analytics.The focus is shifting from products/services to experiences. Customer experience is the focal theme permeating all activities of any organization today. Every organization around us is successful, depending on the analyses they perform. As a result, businesses are embracing big data and predictive data analytics to gain insights into market trends and identify customer behavior.
In a fast-changing landscape, adapting the perfect blend of open source, proprietary, and cloud tools/technologies is key to achieving business goals. Our meticulous and strategic techniques are applied using emerging technologies that drive customers' business. The platforms, enabled with high availability, business continuity & disaster recovery, fault tolerance, and scalability features, hold prime importance in achieving the best end-user experience with predictive data analytics.
Business Challenge
Organizations face difficulty in extracting actionable insights from ever-growing, unstructured data. Traditional analytics fall short in identifying complex patterns, forecasting accurately, and enabling proactive decisions. Without scalable, intelligent analytics, businesses struggle to optimize operations, personalize user experiences, and stay competitive in a rapidly evolving digital ecosystem.
Opportunities & Challenges
When it comes to data handling and engineering, businesses face substantial issues such as lower operational costs in a highly competitive environment, security/data privacy/compliance, data quality of complex data, the implementation process, and a redundant technology stack.
A recent report from Dun & Bradstreet revealed that businesses have the most trouble with the following three areas: protecting data privacy (34%), ensuring data accuracy (26%), and processing & analyzing data (24%).
Furthermore, these aren't the only significant data difficulties that businesses confront. Big Data's inherent uncertainty, abundance, and predictive analytics platforms, security solutions, and security risks from tools for managing the entire ecosystem, integration issues, and, perhaps most importantly, the massive challenge of developing the culture that makes all of this stuff work are all factors to consider.
A creative combination of social, cloud, mobility, and analytics enables our advanced solutions to extract meaningful insights in real time, convert them into intelligent & automated actions, and drive transformational decision-making through predictive data analytics.
Bringing in entirely new ways in which data is seen, analyzed, and put into action, we implement and act on industry-specific insights that are truly transformational. Our best-in-class algorithmic capability, combined with over two decades of technical experience, puts us in a unique position to give our customers insights and knowledge that may help them move their businesses forward like never before using predictive data analytics.
Service Framework
Our service framework encompasses the entire data lifecycle, from collection and processing to advanced analytics, culminating in actionable insights that drive business success.
Data Engineering - Collect & Manage
- Set up the data pipeline
- Manage data for quality & integrity
- Transform the data for analysis
- Feature extraction for development
- Data enrichment
Advanced Data Analytics - Analyze & Act
- Descriptive analytics: Data discovery, aggregation services
- Diagnostics analytics: Data discovery, drill-down, data mining, and correlations
- Predictive data analytics: Anomaly detector, AI platform builder, predictive modeling, NLP analytics, monitoring, lifecycle management
- Prescriptive analytics: applied statistics, signal processing, computer vision, machine learning, natural language processing
- Data visualizations: Publish & engage
- Dashboard, visualization, log generation, report management, 360-degree view
- Insights, actions, reports, statistics
Big Data Managed Services
- Secured management of heterogeneous software elements with multi-cloud expertise
- In-house AI COE
- SLA-driven performance and alignment with industry best practices and ITIL standards
- Cost Management through technology foresight and a path to innovation
- Global service delivery, with options for local resources
- Certified and Domain enriched technical specialist
Differentiators
- Our demonstrated results in predictive data analytics and machine learning are superior to industry benchmarks
- We crunch even unstructured data to derive powerful, actionable insights
- We work across platforms and tools
Celebrating 3 years of engagement with Panasonic
Celebrating 3 years of engagement with Panasonic
Panasonic Appliances
"The launch of the R&D center in Bengaluru aims to grow Panasonic’s business in the ISAMEA (India, South Asia, Middle East, and Africa) region with a medium and long-term strategic view”
Tetsuro Homma, President of Appliances Company and Senior MD
Information Hub
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What is advanced data analytics?
Advanced data analytics involves using sophisticated techniques and tools, including machine learning and statistical methods, to analyze complex datasets. This process uncovers patterns, predicts trends, and provides deep insights that support strategic decision-making and operational optimization.
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How can advanced data analytics benefit my business?
By leveraging advanced data analytics, businesses can gain a comprehensive understanding of their operations, customers, and market trends. This leads to improved decision-making, enhanced customer experiences, increased operational efficiency, and the identification of new opportunities for growth and innovation.
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What industries can benefit from advanced data analytics?
Virtually all industries can benefit from advanced data analytics. Sectors such as healthcare, finance, retail, manufacturing, and telecommunications use these analytics to optimize operations, personalize customer interactions, manage risks, and drive innovation.
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What is the role of machine learning in advanced data analytics?
Machine learning plays a pivotal role in advanced data analytics by enabling systems to learn from data, identify patterns, and make predictions with minimal human intervention. This enhances the accuracy and efficiency of data analysis, allowing businesses to gain deeper insights and make more informed decisions.
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How does Tata Elxsi approach data security in analytics projects?
Tata Elxsi prioritizes data security by implementing robust measures, including data encryption, access controls, and compliance with relevant regulations. Our approach ensures that your data remains protected throughout the analytics process, maintaining confidentiality and integrity.
