DATA-DRIVEN DECISION MAKING
Achieve better performance
through data
Retail
In retail, data analysis often focuses on understanding customer preferences, managing inventory efficiently, and optimizing marketing strategies. You seek to leverage data for better product placement, personalized offers, and to streamline operations. However, You may struggle with integrating diverse data sources and conducting real-time analytics. We are here to support you and provide solutions that offer comprehensive insights from various data points, enabling predictive modeling for inventory and sales, and creating personalized shopping experiences based on data-driven customer insights.
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Financial institutions
Will a borrower fail to pay the bill of credit card? How much the lender would lose from the default?
Prediction Analysis for default can give a snapshot of all customers at a specific point of a period with a ‘default or not’ flag which indicates he or she will default or not three months later. Perhaps actions would be taken to reduce risk of losses.
Telecom
For subscription-based relationship, customer retention is the core of business. Will a customer buying a postpay mobile phone with a contract leave when the contract expires? Or he/ she will migrate between the brands?
Prediction Model of churn can anticipate how possible users will leave. Retention efforts must be made to keep valuable customers and reduce churn rate.
Healthcare
In the health insurance industry, there is a growing need for efficient management of patient data, streamlined claims processing, and robust fraud detection measures. We specialize in leveraging predictive analytics to assess risks and tailor personalized insurance plans to meet individual needs. Our commitment to data privacy ensures the confidentiality of sensitive health information, while our expertise in integrating diverse health data sources and adapting to evolving regulations ensures compliance and operational excellence.
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E-COMMERCE
As a typical real-time business, large amount of data are being generated every minute. How to turn complex data into business action?
Market Basket Analysis for Cross-selling is a good example to extract rules from millions of transaction records to recommend right product for right customer, which make their purchase more easier, improve their stickness and bring you more value.
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Manufacturing
In the manufacturing industry, data analysis is indispensable for optimizing production processes and enhancing operational efficiency.
Quality Control: Analyzing production data to detect defects, identify root causes of quality issues, and implement corrective measures to improve product quality and consistency.
Predictive Maintenance: Utilizing sensor data from machinery and equipment to predict maintenance needs, prevent equipment failures, minimize downtime, and reduce maintenance costs.
Enhance the power of DATA
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Data support your decision. We could help.