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Article . 2023
License: CC BY NC
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY NC
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY NC
Data sources: Datacite
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Analytics based Seamless Automation of Key Performance Indicator Setting Process

Authors: Lavanya Naik; Dr. Nagaraja G S;

Analytics based Seamless Automation of Key Performance Indicator Setting Process

Abstract

Business Relationship with the stakeholders is important for any organization to grow in their business. This is evaluated based on Key Performance Indicators (KPIs) that is set in the beginning of the financial year. Hence it is important to track the KPIs in regular intervals so that organization do not end up in trouble last moment. Manual processes for tracking and analyzing KPIs are often time-consuming and prone to errors, which can lead to inaccurate data and poor decision-making. The proposed approach is the automating the process of calculating actuals and forecast for the current month. This solution is achieved using ETL process of relevant data and writing stored procedures in PostgreSQL and thereby coming up with automated view for KPI setting process. The major factor is to finalize the models in order to calculate the forecast values for the remaining day of the month. Forecasts provide valuable insights into future trends, allowing individuals and organizations to make informed and strategic decisions. This in turn gives streamlined solution proving efficient solution both in terms of reduction in error and time.

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Keywords

Database, Machine Learning, Power Query., Key Performance Indicator, Structured Query Language, Forecast

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average