Better Data Driven Business, BDDB

Highnix ERP is a robust enterprise resource planning solution designed to help businesses of all sizes, especially SMEs, optimize their operations. It provides the tools needed to enhance efficiency, improve customer service, and drive profitability.

Highnix ERP is compatible with Microsoft BI tools, including Power BI, allowing seamless integration of ERP data with powerful analytics and reporting features. This integration empowers users to analyze their data quickly and effectively, enabling more informed decision-making and helping businesses stay competitive in the digital economy.

Watch this video to discover how data-driven strategies can benefit your business.

(Source: IMDA BDDB) 

What is BDDB?

Better Data Driven Business (BDDB) is a strategic approach that empowers businesses to use data effectively for decision-making. It involves the systematic collection, analysis, and application of data to evaluate performance and identify opportunities for growth. By adopting a data-driven mindset, businesses can enhance their decision-making processes, making them more customer-focused and competitive. Leveraging data insights allows companies to refine their products, services, and operations, leading to better customer satisfaction, increased operational efficiency, and higher profitability.

More information can be found at IMDA wehsite: Please Click Here

Benefits Of Using BDDB

Benefits of the Better Data Driven Business (BDDB) Programme

  1. Improved Decision Making: Data-driven business models empower companies to make informed decisions on pricing, marketing, and other strategic areas, leading to increased profits and reduced losses.

  2. Enhanced Customer Experience: By understanding customer needs through data analysis, businesses can respond more effectively and in real-time, resulting in a superior customer experience.

  3. Increased Efficiency: Leveraging data allows companies to streamline operations and optimize processes, saving time, resources, and money while enhancing overall productivity.

  4. Deeper Customer Insights: Analyzing customer data provides valuable insights into consumer behavior, enabling companies to tailor their services and improve customer satisfaction.

  5. Cost Reduction: Data-driven approaches help reduce costs through process automation and minimizing manual tasks, leading to significant savings on operational expenses.

For more information, please visit the IMDA BDDB website.

How to Start?

Please visit IMDA’s webpage to read more about the step.  On the same webpage, look for the section as shown below and click on the Download Here button or click here to go to the Download Page.

Key Steps to Implement Better Data Driven Business (BDDB) with Highnix ERP

  1. Identify Data Sources: Determine the data sources you will use to create your BI model. Data can be generated from the Highnix ERP Analytic Report section, which includes three key reports:

    • BDDB CSV-B01-Grow Product Sales
    • BDDB CSV-B05A-Inventory
    • BDDB CSV-B05B-Transaction
      These reports can be imported into the BI tool available on the IMDA website.

    Highnix ERP supports two key BI model categories:

    • GROW PRODUCT SALES: Boost your revenue by enhancing sales through targeted marketing strategies. Use insights to focus on key products and services, offer promotions on underperforming items, or pair them with best-sellers to maximize results.
    • LOWER INVENTORY COSTS: Optimize demand and supply matching. Leverage insights to refine pricing models and improve inventory forecasting, helping you determine optimal stock replenishment frequencies.

  2. Clean and Transform the Data: Prepare your data by removing duplicates and unnecessary information, ensuring it’s ready for analysis.

  3. Create a Data Model: Organize the data into a structured model to facilitate analysis. This may involve establishing relationships between tables or creating summary tables from raw data. Utilize the provided templates to simplify the model creation process.

  4. Load Data into the BI Tool: Format the data according to the template requirements and load it into the Microsoft BI tool. This can be done using built-in import features or SQL commands.

  5. Create Visualizations and Reports: Use the Microsoft BI tool to design visualizations and reports, such as charts and graphs, to present the data in a meaningful way.

  6. Follow Import Instructions: Import your data into the BI templates provided by IMDA, which are included in the package mentioned above.

For a comprehensive guide on data preparation and usage, click here.