Case Study Post Type

Read this case study to know how we used data analytics to develop agent recruitment funnel optimisation model and help client improve process efficiency:
Read this case study to know how we used data analytics to develop agent recruitment funnel optimisation model and help client improve process efficiency:
Here, Valiance used machine learning to develop image classification model for wildlife species identification for a wildlife research institute in India.
Client Background Client is a FinTech providing underserved population with limited credit history in East Africa and Columbia region access to micro loans ranging from 5 to 200 USD based on their needs.   Business Objective Client is looking to expand presence into new markets using the Credit platform powered by ML models built on
Client Background Our client is a mobile advertising startup providing customer retargeting solutions to clients across ecommerce, financial services, healthcare and various other domains.  These retargeting solutions work by targeting end consumer with relevant display ads whenever they surface on publisher network.   Business Objective Develop data science driven customer retargeting platform that should be
Here, Valiance used machine learning to develop image classification model for wildlife species identification for a wildlife research institute in India.
Here’s how a financial services firm leveraged Predictive Analytics to estimate Net Promoter Score for non-survey responders. Read More-
Lender improves personal loan cross sell by 10-20% keeping portfolio risk intact using predictive analytics to identify low risk, high propensity customers.
Indonesian bank, using predictive analytics, optimizes cash distribution channel to reduce its costs incurred in transportation and borrowed money.
How we helped one of India’s largest NBFCs to reduce credit fraud on consumer durable loans and save $1.5 M every year