Social Sector

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.

Enabling Social Development

Real-time data – from the field to your fingertips

Easy to install data collection application with advanced GIS built in
Authenticated real-time data collected on low cost android or tablet devices with images/pictures

Track physical assets across the state or geography

Locate assets and schemes with GIS data
Assess progress towards milestones and goals
Monitor performances on development indices

Zoom in to any geography and segment

Query and identify focus areas
Interactive dashboards and reports

Advantages

View how our technology works

Scalable solutions for future for seamless upgrades of features and integration with other IT system/data sources for upstream and downstream linkages

In-depth process study to understand the nuances of specific project scope for your product/service

As most of the analytics/data science projects have research based probabilistic outcome and is not as deterministic as other IT projects, understanding and setting a process/benchmark for such projects are very important

Customized engagement model based on requirement and fitment

Not limited to Products

Option of both proprietary and open source technology for responsive dashboard for algorithm driven data science applications

Specific model building & validation for processes as per need starting from machine learning to neural network. No retrofit of pre-build models.

Forecasting

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.

Optimization

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.

Machine Learning

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.

Decision Trees

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.

Sentiment Analysis

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.