Analytics
DIGIT analytics enable -
administrators to view the dashboard based on which they can take day-to-day planning and operational decisions
citizens to view and assess how the city administration is delivering services to them
employees to identify immediate areas of focus so that they can direct their efforts accordingly
analysts and researchers to access data in a format that enables them to analyse data rapidly and provide deep insights
In order to enable the above in a scalable, secure and reliable manner, the DIGIT platform needs to ensure -
transaction data is extracted, transformed and made available in an analytical datastore in a timely manner
privacy issues are addressed as data is moved to the analytical data store
as the transaction data structure is modified, the extract and transform programs continue to work seamlessly
users will have the ability to extend the transformation to suit their needs. Data may need to be transformed multiple times to address reporting and analytical requirements.
user can design and modify dashboards as per their requirements
users can access data only based on their role
raw as well as analytical datasets are made available through open data APIs for analysts and researchers
anomalies detected are bubbled up to the right users at the right time
users can perform descriptive, diagnostic, predictive and prescriptive analytics seamlessly
real-time scenarios e.g. IOT can be catered to by the platform.
Sunbird cQube https://cqube.sunbird.org/ is something we should look at see how this fits into our requirements.
Last updated
