Streamlining HR Data Management and Analytics

A leading multinational corporation, aimed to achieve a more efficient, seamless, and comprehensive HR data management system. They required an approach that not only presented data effectively but also kept data processing overheads minimal in their visualization platform. To meet these needs, Company collaborated with Parallel Minds, leveraging our expertise with Power Platform, Time Extender and AI.

Overview

Customer: Equipment manufacturer company having different plants in Sweden, China, USA, India, South Korea and Brazil.
Objective: HR Data visualization and HR data analytics.

Challenge

  1. The company struggled with decentralized HR data sources, leading to data inconsistencies and access issues.
  2. Manually pulling HR data from 3 different systems including Bamboo HRMS for analysis was time-consuming and prone to errors.
  3. The HR team had limited real-time interaction with data, restricting their ability to garner on-the-fly insights.
  4. Heavy data processing in excel caused performance lags, affecting user experience.
  5. Realtime HR data visualization was not available and the HR team in different regions had to filter regional data and then process in excel and develop own visualizations.

Solution

Solution with Power Automate, Time Extender, and Power BI

To address these challenges, Parallel Minds initiated the following steps:

  1. Integration with Bamboo HRMS API and MAPICS ERP via Power Automate: Power Automate was employed to establish a seamless connection to the Bamboo HRMS API, automating the process of fetching comprehensive employee records.
  2. Data Management in Time Extender: Once the data was retrieved, a dedicated data block was set up in Time Extender. This provided a structured framework for data, ensuring consistency and ease of access.
  3. Development of KPIs in Time Extender: By leveraging the capabilities of Time Extender, various data measures and KPIs were developed. This enabled data to be pre-processed, ensuring that Power BI only had to focus on visualization without the additional overhead of data processing.
  4. Visualization in Power BI: The pre-processed data from TimeExtender was directly consumed by Power BI, keeping the visualizations lightweight and enhancing performance. The integration of the Q&A feature further amplified the interactive capabilities, allowing users to derive instant insights from the data.

Implementation

Implementation with Power Automate, Time Extender, and Power BI

  1. Integration with Bamboo HRMS API and MAPICS ERP via Power Automate: The implementation entails configuring Power Automate to establish connections with Bamboo HRMS API and MAPICS ERP. Tasks include defining triggers for data retrieval, specifying actions for data processing, and integrating fetched data into a unified format for further processing.

  2. Data Management in Time Extender: Implementing a dedicated data block within Time Extender involves setting up the environment to receive, store, and manage data from Bamboo HRMS API and MAPICS ERP. This includes defining data models, schemas, and access controls to ensure efficient data handling within Time Extender.

  3. Development of KPIs in Time Extender: Implementation of KPIs within Time Extender requires defining relevant metrics and calculations based on the integrated data. This includes configuring data transformations, aggregations, and calculations to derive actionable insights and performance metrics from the consolidated dataset.

  4. Visualization in Power BI: Implementing data visualization in Power BI involves connecting to the pre-processed data from Time Extender and designing interactive dashboards and reports. Tasks include creating visualizations based on defined KPIs, configuring the Q&A feature for natural language interaction, and optimizing visualizations for performance and usability.

Results

With the new system in place:

  1. The company reported a 80% improvement in data retrieval and management efficiency.
  2. The HR data analysis became real-time with the Q&A feature in Power BI, improving the decision-making process.
  3. The lightweight nature of Power BI visualizations, devoid of heavy processing, ensured faster load times and an enhanced user experience.
  4. A more streamlined approach to HR data management led to consistent, up-to-date, and reliable data insights.
  5. The company experienced a marked reduction in data discrepancies, ensuring that HR strategies were based on accurate and timely information.

Conclusion

The strategic collaboration Parallel Minds, using Power Automate, TimeExtender, and Power BI, revolutionized the HR data landscape for the customer.

By decentralizing data processing from visualization and automating data retrieval, the company could optimize performance, achieve real-time insights, and enhance overall HR data management efficiency.

The success story demonstrates the power of integrating advanced technological solutions like Microsoft Low Code Noce Code power platform with a keen understanding of business needs.

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