Businesses face tremendous competition in their fields where the differentiating factors of today will be the hygiene factors of tomorrow. Behind every AI strategy is a data and analytics strategy. We help you establish strong practices that set the stage for any AI or enterprise-level intelligence transformation. AWS and Brillio provide a best-in-class set of managed services for Data Analytics to help businesses evaluate and virtually build and scale data analytics applications in the Cloud.
Analyze and benchmark your organization’s Data Analytics maturity, provide a detailed roadmap and recommendations to elevate your organizational capabilities to meet your business priorities.
Empower your enterprise with capabilities to handle large data assets by migrating traditional data applications to AWS, powered by a robust data quality, security, and governance framework.
Provide a set of tightly integrated tools designed to work together to solve data analytics challenges within a standardized framework.
Identify the right KPIs for your business using design thinking techniques. Generate insights by leveraging statistical modelling techniques to gain clarity into the DNA of your customers, improve targeting and identifying new audiences, and build superior user experiences.
Provide highly scalable databases that organize data into a structure that is not a traditional RDBMS.
Enable customers to move and consolidate data from disparate sources, transform it, and prepare it for analytics. This includes extract, transform, and load (ETL), data quality, profiling, replication, preparation, and related technologies.
Turn raw data into actionable business information using online analytic processing technologies, such as reporting, dashboarding, and data visualization. A unified perspective of your data provides more opportunities for insights and improved decision-making.
Discover, categorize, and control your data. This includes defining and enforcing policies; security, management of personal information; creating data catalogs and glossaries; data lineage, data masking, and secure data federation.
Open doors to new business models and optimize costs on existing processes by leveraging our expertise in experimenting and scaling Computer Vision, NLP, and ML technologies.
Build end-to-end machine learning pipelines from data collection, processing, feature engineering, optimization, evaluation, visualization, and deployment. Gain insights to build the models you need to improve decision-making, customer satisfaction, increase revenue, and optimize business operations.
Provide end-to-end services to drive enterprise data strategy through comprehensive data capture, the enriched value of data, insightful data consumption, and smart data management.