Data Platform

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Let your data present you with high value predictive business outcomes using our Data Platform

Businesses thrive to reduce the learning curve and accelerate the adoption of data intelligence in their organization. With our platform as a service, it becomes easy to leverage an entire data ecosystem. Our best-in-breed data platform ensures data consistency and high-level workflows that ultimately lead to higher productivity of the organization.

Our uniquely developed data platform eases the woes of data analysts, data scientists, and business professionals by simplifying their tasks and letting them focus on turning data into actionable intelligence instead of handling clusters.

Customer retention

By taking a data-driven approach, we help businesses to ensure customer loyalty and high retention rates.

Customer segmentation

Machine learning models enable companies to know customers better by delivering enhanced customer service and boost customer satisfaction.

Churn prediction

With advanced ML applications powered by SIA, companies are capable of predicting customer churn and take proactive steps to prevent it.

Market basket analysis

Machine learning enables companies to create customer profiles based on their buying patterns and predict sales for particular customer segment.

Recommendation engine

ML can help companies record, cleanse, normalize, and aggregate data from a variety of data sources to provide personalized recommendations.

Sentiment analysis

Machine learning helps you to find out what your customers, employees, and partners are saying about you by analyzing social media channels, customer service data and emails.

Inventory prediction

Inventory prediction helps manufacturers to reduce their stock levels, while improving their quality of service with higher product availability and reduced delays.

Quality management

ML helps manufacturing companies to analyze the data from operations as well as existing test data and results in shorter test times.

Predictive maintenance

Machines are monitored to identify faults, and calculate the optimal time for the next maintenance by performing predictive analysis.

Supply chain

With ML and AI, manufacturers can not only keep track of all the products, but also predict the probabilities of delay in production and delivery.

Compliance

Machine learning enables healthcare providers to analyze greater amounts of data, and comply with rules, regulations, and laws related to healthcare.

Precision medicine

Precision medicine provides an ability to predict more accurately which medicines work best for different groups of people.

Hospital readmission

Hospitals use data analytics to eliminate unnecessary readmissions by developing a good patient monitoring plan.

Pharma & Life Sciences Analytics

ML helps pharma companies in driving insightful decisions for all functions of the organization from product planning, design, manufacturing to clinical trials.

Fraud detection

Financial firms can now respond to fraudsters’ techniques using ML to monitor, analyze, and detect the changes in shopping behavior of customers.

Risk management

ML algorithms advance themselves by ingesting raw information in large datasets, understanding patterns and drawing inferences to detect risk.

Sales forecasting

Sales forecasting based on past sales data, industry-wide comparisons, and economic trends enable companies to make informed business decisions.

Network failure recognition

Engineers can identify regions with customers facing call-drop situations and enable them to analyze network issues, reducing the need for drive testing.

Network optimization

SIA enables organizations to optimize performance KPIs and KQIs and give a real-time view of the entire network for better workflow orchestration.

Offering tailored subscriptions

ML helps companies to better understand the percentage of customers who like or dislike offers proposed to them and personalize subscriptions accordingly.

Adhering to compliance

Machine intelligence enables food and beverage companies to analyze data, comply with the regulations, and map new policies with existing ones for change management.

Quality assurance

Object recognition allows companies to collect, process, and analyze the data that provides stakeholders with crucial insights to maintain the quality of the product.

Sales prediction

The use of predictive analytics is not limited to sales forecasting, it also helps companies plan pricing strategies based on the product demand.

HR analytics

HR departments will be able to predict the future possibilities in recruitment, work culture, compensation, training, and employee retention.

Sports analytics

Gain a competitive edge with performance monitoring and enhanced decision-making, and derive insights about player and team performance.

Web analytics

Using historical data of site or app visitors you can make sense of the large amount of web and mobile app data and give you deeper insights from your site visitors.

Weather forecasting

With real-time monitoring you can make informed decisions based on weather predictive analytics, rather than simply reacting to circumstances as they occur.

Why choose us

Easily store, process, prepare, and analyze data to achieve profitable business outcomes with SIA. With better model training performance and increased accuracy, we deliver the desired data-driven results.

Talk to our data experts

90%

Reduction in
downtime

70%

Enhancement in
operation optimization

30%

Growth in
productivity

95%

Prediction
accuracy

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