https://github.com/civicdatalab/district_treasury_analysis
An attempt to analyse India's disrtrict treasury data for identifying patterns and anomalies
https://github.com/civicdatalab/district_treasury_analysis
Last synced: 8 months ago
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An attempt to analyse India's disrtrict treasury data for identifying patterns and anomalies
- Host: GitHub
- URL: https://github.com/civicdatalab/district_treasury_analysis
- Owner: CivicDataLab
- License: mit
- Created: 2018-08-31T04:21:29.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-08-31T05:30:18.000Z (over 7 years ago)
- Last Synced: 2025-03-03T15:47:38.323Z (12 months ago)
- Language: Jupyter Notebook
- Size: 3.56 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
District Treasury Data Analysis
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# About District Treasuries:
District Treasuries are the nodal offices for all financial transactions of the Government within the district, managing both payment and receipts. They also monitor the activities of various sub-treasuries which work as an extension of the Treasuries at the Tehsil/Taluka level. Each district has various Drawing & Disbursing Officers who are authorized to draw money can present their claims in the Treasury which are then accounted for by concerned authorities. Various states in India have developed Integrated Financial Management System which publishes detailed information on daily transactions happening at district treasuries within a state.
# About Time Series Analysis & Inferences:
The detailed information of daily transactions at district treasury can help us perform near real-time tracking of flow and utilization of funds. This can be used to track expenditure on various schemes and social sectors, anomalies in fund disbursement, understanding near real-time alerts and predicting timely utilization of budgets. In this talk, we will explore how we can harness time-series modeling and analysis to better understand the functioning of various district treasuries in India.