The digital revolution, while, is affecting a large part of the world, there are sections of society which are yet to get benefitted by technology as they still struggle to meet their basic necessities. Decisions on social and economic development that affects large population needs to be based on data – whether digital or pen and paper or surrogate data and success of programs also needs to be monitored and measured through data.
Business Brio is addressing the world problems through data and analytics. We enable our government clients in state and center with intelligent systems and dashboards, mobile based data collection tools, GIS based analytics portal, analytic models for evaluation of programs and strategies for economic development.
Health Monitor Monitor disease spread and intensity of spread real-time by segmentation and visualization and, mobilize relevant health resources for affected population groups.
GIS Analytics for Economic Development Track infrastructure assets (school, primary health center, culvert, watershed, road etc.) from creation to commissioning using GIS based analytics in an interactive analytic portal and define composite metrics for economic development of beneficiary population.
Economic valuation of Bio-resources Identify and estimate tradable bio-resources by collecting and analyzing primary data from various stakeholder groups across the state. Detailed reporting on economic valuation of resources and inventory of bio-resource based industry.
Market strategy of Medicinal Plants Strategy & recommendation for cultivation, conservation, marketing and promotion of medicinal plants in the state by estimating demand and supply scenario in all districts and data sources.
Real-time data – from the field to your fingertips
Track physical assets across the state or geography
Zoom in to any geography and segment
Scalable Solutions
Process Study
Success Criteria
Engagement Model
Product Agnostic
Adaptive Dashboards
Tuned Models
At Business Brio, we have used Single Exponential Smooth, Double Exponential Smooth, ARIMA and back-propagation neural network. We did find Neural network to have better forecasting performance than the classical forecasting algorithms in case of wind energy forecasting for a particular project and won the NASSCOM Analytics Innovation award in 2015 for effectively using the same for business.
Methods like Goal Node, Integer Linear Program, Simplex Method and Interior Point Method are used depending on the context and relevance. At Business Brio we use Lindo as a tool for optimization.
Unsupervised and supervised learning methods like regression, support vector machines (SVM),KNN, K-means, PCA are used to recognize patterns and make data-driven predictions or decision outputs. We extensively use Python and R for applying the algorithms.
CART, CHAID, Random Forests, mathematical and computational techniques are used to aid the categorization and classification of a given data information. Apart from programming tools, we also use WEKA for decision trees.
Opinion mining or emotion AI refers to the use of natural language processing, text analysis, and computational linguistics to systematically identify, extract, quantify, and study affective states and subjective information. In past projects, we have heavily used LSE, HSA, text mining for semantic algorithms.
Leverage data and analytics to boost economic and social development for social good