In this post, we explore the process of how BI professionals choose the right tools for their data pipeline processes. As a BI professional, you will have a set of available BI solutions to work with, and selecting the right toolset is crucial for ensuring efficient data management and drawing valuable business insights. Let's highlight the key points from the transcript:
Understanding Transferable Skills: Different BI tools may have similar underlying principles and utility. The experience gained from working with one tool, like Microsoft Access, can be applied to other solutions like MySQL, making it easier to adapt to new tools.
Considering KPIs (Key Performance Indicators): KPIs are quantifiable values linked to business strategy, enabling tracking of progress towards goals. BI professionals need to understand their organization's KPIs to choose tools that align with those needs.
Stakeholder Requirements: The way stakeholders want to view the data determines the tools to be used. Stakeholders might ask for graphs, static reports, or dashboards, and there are various tools like Looker Studio, Microsoft Power BI, Tableau, etc., that cater to these visualization needs.
Back-End Tools and Data Movement: BI professionals must consider how the data needs to be moved, transferred, and updated. Not all BI tools can read data lakes, so choosing the right tool for the back-end operations is crucial. Tools like Azure Analysis Service, CloudSQL, Pentaho, SSAS, and SSRS SQL Server offer reporting features built-in.
Must-Haves for Toolset: Each of these considerations helps BI professionals determine the essential features and functionalities required in their toolset. These must-haves contribute to the selection of the best options for their organization.
Using a Combination of Tools: In some cases, it might be necessary to use a combination of tools to create the ideal BI system. BI tools commonly have common features, making it easier to transfer skills across different tools in one's career.
By considering the above points, BI professionals can make informed decisions and choose the most suitable tools for their organization's data pipeline processes. This ensures efficient data management, visualization, and analysis, ultimately leading to valuable business insights and informed decision-making.
