Our data science team has core competencies in data normalization and fusion, identity matching, audience indexing, attribution and prediction. We have developed a set of processes based on our experience in handling huge TV, digital and media data sets
Our team has experience in machine learning and AI, unsupervised learning projects, generalized linear models and classification projects We are AWS preferred partners, and carry out most of our projects on AWS. Our team is particularly skilled in using Python and SQL
We have significant experience of building normalized datasets from these Smart TV, set-top box and OTT datasets
Our identity matching process achieves strong match rates across numerous TV and digital data sets, using deterministic and probabilistic matching
Our data monetization assessment process surfaces the most promising & lucrative opportunities, & provides customers with a clear path to execute on them
We have significant experience of running attribution analyses, ranging from simple tune-in analysis to multi-touch attribution analysis across multiple campaigns and datasets
Our data science team can build machine learning models that aid retention, upsell, subscriber acquisition and marketing effectiveness
Our data science team has built a segmentation approach that media companies can use to build segments of their customers for internal use, or for targeting.
