Our team of data scientists, statisticians and data platform specialists have the skill sets, expertise and experience to manage structured and unstructured big data and extract actionable insights that add value in both business and society. Our knowledge-base of scientific methods, models, algorithms, programming languages and platforms helps us deliver deep value in Data science projects.
Insights from Big Data are increasingly driving business processes and decisions; dynamic pricing by cab aggregator, content recommendation by streaming services, reduced cost and improved efficiency of operations for organizations are few of the use cases. In the healthcare field Genomic analytics, move from corrective to predictive medication, safety analytics, prediction of disease outbreak and many such endeavours are helping improve patient safety.
In order to ensure efficiency in Big Data projects it is important to understand if the target Big Data sets will be/are Valuable enough to be Actionable based on the clearly defined objective of enhancing business value.
Applications, Streaming Data, BATCH Processing
Transactional, Analytical
Process & Analysis
Explore & Visualize
Our services and solutions cover all complexities around Volume, Variety, Velocity, Veracity and Value
Scale Of Data, Continious Stream, Heavy Processing: Gigabytes & Petabytes
Quick Processing & Decision Making, Limited Lifespan
Varied data sources
Unstructured data, Raw data; text, images, scans
Actionable data with a clear understanding of the business value it will bring.
Moving from an insight-driven approach to a foresight-driven approach.
Our team of data scientists and statisticians are highly qualified professionals with doctoral and masters degrees. The team has worked on complex projects involving Clinical Trials, Genomic Studies, Risk Assessment, Bioinformatics, Machine Learning and related jobs for large organizations.
The team members have been awarded highest recognition in their respective fields, including the highest honor of Chartered Statistician by Royal Statistical Society of London. The team regularly publishes articles in international journals and for the industry in collaboration with well known experts in the field.
