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Development of Power BI Dashboard for Battery Manufacturer

The client, a leading automotive and industrial lead-acid battery manufacturer, has a global presence and over six decades of reliable service faced challenges amidst fierce competition. The client aimed to streamline operations and gain insights from their data efficiently and effectively.

  • Industry
    Manufacturing
  • Country
    India
Technologies
Power BI Dashboards & Analytics for Battery manufacturer
Years In Business
36+
Years In Business
Projects Delivered
3000+
Projects Delivered
Happy Clients
200+
Happy Clients
Countries Served
40+
Countries Served

Client's Goals and Expectations

The client's goals were to streamline operations and gain valuable insights from their data to stay competitive in the market. They expected efficient solutions to optimize their processes and improve decision-making.

  • Simplifying Access to Sales Data: The client aimed to streamline accessing primary and secondary sales data to expedite decision-making while enhancing data accuracy.
  • Minimizing Manual Efforts in Report Management: They also wanted to automate tasks like adding or removing columns in reports to improve efficiency, reduce errors, and optimize resource utilization.
  • Reducing Errors Due to Data Format Changes: Other expectations were to implement standardized data formats and version control to ensure data integrity, minimize errors, and enhance consistency in reporting.
  • Accelerating Report Generation with Filters: They also aimed to enhance report generation speed by implementing filters for detailed analysis. It facilitates quicker decision-making and provides actionable insights.

Challenges Faced by Client

Accessing Sales Data

Accessing Sales Data

The existing system lacked streamlined access to both primary and secondary sales data, forcing users to manually compile the data in Excel sheets. This manual process led to inefficiencies and delays in data analysis and decision-making.

Tedious Report Modification

Tedious Report Modification

Users encountered difficulties when attempting to customize reports by adding or removing columns. This process was cumbersome and prone to errors, hindering their ability to tailor reports to specific needs or preferences efficiently.

Data Format Changes

Data Format Changes

The frequent alterations in data formats and scripts introduced complexities in data management, resulting in increased errors and inefficiencies. These changes disrupted the workflow and impeded smooth data processing and analysis.

Report Generation Complexity

Report Generation Complexity

Creating detailed reports with various parameters necessitated considerable time and effort from users. The complexity of generating such reports added to the workload and slowed down the overall reporting process, affecting productivity and decision-making timelines.

  • Centralized Power BI Dashboard

    This involved creating a single, unified dashboard within the Power BI platform that aggregates data from multiple sources. By centralizing data visualization and analysis tools, users can access all pertinent information in one location, facilitating efficient decision-making and reducing the need to switch between different applications or systems.

  • Integrated Reports

    We consolidated disparate reports into a cohesive framework, enabling seamless access to insights derived from different datasets. By integrating reports, users gain a comprehensive view of enterprise data, allowing for better-informed decision-making and strategic planning.

  • Dynamic Visualization

    We incorporated dynamic visualization techniques such as slicing and dicing, allowing users to interactively explore data from various angles. This enables users to drill down into specific data subsets or dimensions, uncovering deeper insights and identifying trends that may not be apparent at a higher level of analysis.

  • Streamlined Data Management

    We optimized the data management process by implementing tools and features that simplify tasks such as adding or removing columns in reports. This streamlines report customization, reducing the time and effort required to tailor reports to specific requirements or preferences.

  • Efficient Data Filtering

    We leveraged data filtering capabilities to enable users to focus on relevant information by applying filters based on specific criteria such as time period, geographical location, or product category. This enhances data visibility and clarity, allowing users to extract actionable insights more effectively.

  • Excel Integration

    We enabled seamless integration between Power BI and Excel, allowing users to import data from Excel spreadsheets directly into visualizations within the Power BI environment. This simplifies data import processes and enhances data analysis capabilities, enabling users to leverage the power of both Excel and Power BI for enhanced insights and decision-making.

How we Confronted the Challenges

Project Glimpse

According to Grand View Research, The global electric vehicle (EV) battery market size was estimated at USD 44.69 billion in 2022 and is expected to grow a compound annual growth rate (CAGR) of 21.1% from 2023 to 2030. The growing emphasis of leading automakers on rolling out electric vehicles and rising battery demand for EVs are major factors behind the growth of the market.

Core Features

Centralized dashboard
Centralized dashboard
Report integration
Report integration
Dynamic slicing and dicing
Dynamic slicing and dicing
Column management
Column management
Data filtering
Data filtering
Excel data import
Excel data import

Workflow Journey

01
Data Collection

Primary and secondary sales data are gathered from multiple sources such as transaction records, CRM systems, and spreadsheets. This involves compiling data from various departments and sources within the organization.

Data Collection
02
Data Integration

The collected data is then integrated into the Power BI platform, ensuring that it is cleansed, standardized, and formatted appropriately for analysis. This step involves combining data from disparate sources into a unified dataset within Power BI.

Data Integration
03
Dashboard Development

A centralized Power BI dashboard is developed to visualize the integrated data. This involves designing an intuitive and user-friendly interface that presents key metrics, KPIs, and insights in a visually appealing manner.

Dashboard Development
04
Report Integration

Various reports generated from the integrated data sources are incorporated into the Power BI dashboard. This includes reports on sales performance, market trends, customer behavior, and other relevant metrics.

Report Integration
05
User Training

Training sessions are conducted to educate business users on how to effectively utilize the Power BI dashboard for data analysis and decision-making. This includes instruction on navigating the dashboard, interpreting visualizations, applying filters, and generating custom reports.

User Training

Results & Achievements

  • 01.
    Ease of Modification

    Reports and dashboards can now be easily modified as per user requirements.

  • 02.
    Reduction in time spent

    Direct access to reports saved significant time for business users. Accessing reports has become much easier as compared to previous methods.

  • 03.
    Improvement in Data Analysis

    The graphics interface enabled quick and efficient data analysis with minimal effort. Data analysis became a cup of tea for the client.

  • 04.
    Decrease in Data Download time

    Integrated reports facilitated rapid downloading of massive data in Excel format. The time taken to download the data has significantly improved after the development of the Power BI Dashboard.

Result of Power BI Dashboard Application for manufacturing

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