innolitica.com

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Anomaly detection and sensor data analysis. We increased retail up-sell by 8% and conversion rate by 5%. Conquer your challenges with data driven innovation. Data Mining and More. Check out our expertise and experience in this business. We are a team of strategists, statistician, and technologists who are committed to provide transformational solutions. Our team consists of consultants having extensive industry experience, top academic education and deep hands on experience.

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630●●●115

sa●●●●●@gmail.com

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Innolitica Lab | Powered by Data | innolitica.com Reviews

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Anomaly detection and sensor data analysis. We increased retail up-sell by 8% and conversion rate by 5%. Conquer your challenges with data driven innovation. Data Mining and More. Check out our expertise and experience in this business. We are a team of strategists, statistician, and technologists who are committed to provide transformational solutions. Our team consists of consultants having extensive industry experience, top academic education and deep hands on experience.

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Innolitica Lab | Powered by Data | innolitica.com Reviews

https://innolitica.com

Anomaly detection and sensor data analysis. We increased retail up-sell by 8% and conversion rate by 5%. Conquer your challenges with data driven innovation. Data Mining and More. Check out our expertise and experience in this business. We are a team of strategists, statistician, and technologists who are committed to provide transformational solutions. Our team consists of consultants having extensive industry experience, top academic education and deep hands on experience.

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innolitica.com

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Fraud detection analysis | Innolitica Lab

http://innolitica.com/fraud-detection-analysis

Anomaly detection and sensor data analysis. Fraud is a billion-dollar business and it is increasing every year. Data analysis methods are used to detect and prevent fraud. This requires detailed domain knowledge of financial, economic, business practices, and law to do these kinds of analysis. Techniques used for fraud activities include:. Data processing and validation techniques to detect, validate, correct, and missing value handling of incorrect data. Time series analysis of time series data. Fuzzy d...

2

Customer analytics | Innolitica Lab

http://innolitica.com/customer-analytics

Anomaly detection and sensor data analysis. In today’s highly competitive and every changing business environment, it become extremely important to leverage all the information the company had to understand and serve its customers better to retain their business or increase sale or margin thru cross-sell and up-sell opportunities. InnoLitica can help you understand your customer using analytics and leverage that information in the following ways:. Some of the analytics methods we use are:. Advanced analy...

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Our Team | Innolitica Lab

http://innolitica.com/our-team

Anomaly detection and sensor data analysis. From Northwestern’s Kellogg School of Management. Retail and CPG analytics. Machine learning and Data science. Big Data Implementation Strategy. From University of Chicago Booth school. Big data solution architecture. Machine learning and Data science. Unstructured text data processing. Isar is an accomplished executive scientist with doctorate in computer science, innovator, architect, and leader looking to apply skills to marketplace. Nisar. One US Patent (US...

4

Case studies | Innolitica Lab

http://innolitica.com/case-studies

Anomaly detection and sensor data analysis. Commerce is a fast-moving and dynamic system. It is much different than regular commerce systems. The customers in ecommerce system have very small barrier to exit. It’s just one click away. On the other hand, once a customer enters a regular store various marketing methods (including visualization, touch, smell etc.) could be utilized to keep him engaged in the store. 56% are more likely to return to a site that recommends products. Personalization extends bey...

5

Ecommerce | Innolitica Lab

http://innolitica.com/ecommerce

Anomaly detection and sensor data analysis. Ecommerce is a fast-moving and dynamic system. It is much different than regular commerce systems. The customers in ecommerce system have very small barrier to exit. It’s just one click away. On the other hand, once a customer enters a regular store various marketing methods (including visualization, touch, smell etc.) could be utilized to keep him engaged in the store. 56% are more likely to return to a site that recommends products. Personalization extends be...

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Anomaly detection and sensor data analysis. We increased retail up-sell by 8% and conversion rate by 5%. Conquer your challenges with data driven innovation. Data Mining and More. Check out our expertise and experience in this business. We are a team of strategists, statistician, and technologists who are committed to provide transformational solutions. Our team consists of consultants having extensive industry experience, top academic education and deep hands on experience.

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