The opportunity cost of not turning your data into products is tremendous. We can help.
We build consumer and enterprise data products such as recommendation systems, a/b/n testing frameworks, information extraction platforms, advertising data platforms. Data products lead to increased revenue, engagement, retention and often to entirely new business lines. They range from personalization, to recommending people you may know and products you may buy, to fraud detection, to outlier traffic identification, to automatic calibration in dynamic environments.
Data cleansing and normalization, growth and engagement, content analysis, predictive modeling, optimization and tailored metrics, cluster analysis, network analysis, and overall actionable analytics. We drill down into user behavior and application data, and extract insights, distil performance drivers, identify clear metrics, and make recommendations.
Big Data Platforms
We are well-versed in building big data platforms, distributed key-value stores, MPP databases, real-time data processing technologies, processing and scheduling tools. We have experience building data management platforms and large-scale analytical platforms from the ground-up.
Data Science as a Service
We ingest your raw or anonymized data and provide you with an ongoing service encompassing data cleansing and normalization, growth and engagement, content analysis, predictive modeling, optimization and tailored metrics, and overall actionable analytics.
Strategic Data & Product Consulting
We advise product and engineering organizations on how to best leverage data to achieve an ambitious, transformative vision. We perform a mind meld with our clients to internalize their vision and business goals and provide creative, personalized strategic recommendations on product and data.
Data Auditing & Review
We identify gaps in your current products and infrastructure. We look at what data is collected, assess the technology stack, review the data pipeline and identify the team’s capabilities.