• Traditional methods of operation have changed in the automobile industry with the emergence of disruptive technologies. Data science plays an important role not just for self-driving cars but also for understanding changing customer behaviour. It caters to every need right from Research and development to manufacturing and marketing of the product. At Cognub, we provide […]

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  • Modern businesses have become more data-dependent and they use data for various purposes. Finding out anomalies in big data is humanly impossible, so a tool to do the same would be cost-effective. With digital transformation, companies can ensure that their capital invested, manpower and other resources are utilized efficiently. Anomaly detection (outlier analysis) is a […]

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  • “All disease begins in the gut” – Hippocrates  Microbiome research has an effect on everything that is related to symbiotic, pathogenic and commensal microorganisms that are present in the ecosystem. A better understanding of the microbiota can help human beings in different walks of life namely, healthcare, tackling pollution (protection of coral reefs), agriculture, ecosystem, […]

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  • Machine learning changing the face of retail

    Traditionally, retailers use a normal way to segment consumers based on recency, frequency of purchase and monetary value of purchases (RFM score). Retailers judge a customer based on these factors and market their products. These traditional methods often lead to biased decisions on consumer purchase as the retailer continues to promote the similar products which […]

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  • BIG CONSTRUCTION

    Running a profitable construction firm is a difficult business. Faced with an unprecedented number of external pressures such as eroding profit margins, higher owner expectations, rapidly changing technology, and a dwindling workforce, only contractors who follow best practices will achieve a higher return on investment and reduce their risk. Big data analytics is being adopted […]

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  • BEST CUSTOMER ANALYSIS

    Best Customer Analysis enable the identification of a prospective customer list based on behaviour and attributes of your best customers. Transactional analysis of the current customer behavioural data coupled with Geo-demographic mapping identifies patterns in customer behaviour. RFM data modeling will be used to put customers into behavioural cells. There are two primary aspects to […]

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