As enterprises move towards a continuous planning and reporting model, they are looking at new ways to manage data and derive insights. Increased interest in Augmented analytics has been enabled by increased adoption of machine learning and natural language in enterprises and allows them to automate the production of meaningful insights. In business analytics , augmented analytics provides efficiency into the data analysis process, equips business teams with tools that can answer their data-based questions in near-realtime, and assists in making decisions that help them edge ahead of their competition.
Enterprises can use data platforms to automate the entire data workflow without need to significantly transform their existing data warehouses and create expensive data lakes. Business teams can create / modify descriptive, diagnostic and prescriptive models on the fly and deploy them with minimal technology infrastructure and support. Conversational search interface makes it easy for business users to explore data using natural language and semantic language. They also enable enterprise to build dynamic visualizations that integrate with big data sources.
We provide the following capabilities for Clients to move towards a data-driven transformation:
- Architecture design blueprinting
- Data transformation and Enrichment
- Rapid Prototyping and proof of validation
- Predictive Modeling and Machine Learning
- Ai Service deployment
- Data Monetization
- Model Implementation and support