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Challenges in Power BI Development

Updated: Dec 1, 2023

By: Kapil Nagpal | February 01, 2023 | Data & Analytics



Introduction


Data & Analytics play an important role in digital transformation through insights and data-driven decision-making capabilities for organizations. Analytics enables organizations to track and measure their digital performance, understand customer behavior, and optimize business processes. Analytics helps organizations to turn data into actionable insights that can inform strategy, drive innovation, and improve operations. This leads to improved customer experiences, increased efficiency, and competitive advantage. Thus, analytics is a key enabler of digital transformation and helps organizations to stay ahead in a rapidly evolving digital landscape.


Microsoft Power BI is a leading analytics and business intelligence tool that offers interactive visualizations, reports, and insights. It is a well-liked option for firms trying to enhance their data-driven decision-making because it provides a wide range of features for data analysis, modeling, and display.

Organizations must be aware of and efficiently handle the obstacles associated with leveraging Power BI, as there are with any complex data and analytics initiative.

This article covers six challenges clients should be aware of when selecting Power BI as their analytics and visualization tool.


1. Data Connectivity

In order to produce reports and visualizations, Power BI depends on the availability and dependability of data sources. It might be difficult to connect to numerous data sources, such as databases and spreadsheets, especially for enterprises with a vast and complicated data environment. Data may be stored in different formats, in different systems, or located in different geographic locations, making it difficult to obtain a unified view of the data.


2. Data Quality


The accuracy of Power BI reports and visualizations depends on the quality of the underlying data. Inaccurate insights, bad decisions, and a lack of trust in the information offered can all stem from poor data quality. A crucial phase in the Power BI process is ensuring the quality of data inputs and cleaning data to remove mistakes and inconsistencies. Cleaning up the data and ensuring the quality of data input is part of most data & analytics projects.

However, most companies invest a significant amount of time in cleansing all data sources. A more pragmatic approach is to identify and improve the quality of a limited data set. Build powerful reports and decision dashboards to sell the concept, and then scale the solution.

3. Data Governance

Power BI is frequently utilized by numerous departments and users inside a business, so it is crucial to set explicit data governance policies and procedures.

Data governance is required to ensure that the data is used consistently and accurately across departments, this includes setting up roles and permissions, data definitions, and data lineage.

4. Data Integration

Power BI is made to operate with a variety of different data sources, however, combining data from many sources can be difficult. It is possible for distinct data sources to make use of various naming conventions, data structures, and data types. This can lead to problems with data integration that may affect the accuracy and quality of reports.


5. Data Modelling

Power BI offers a wide range of tools for data modeling and analysis, but building sophisticated data models can be difficult, especially for users with no background in or understanding of data modeling ideas. It calls for a solid command of data linkages, structures, and how to make excellent use of Power BI's data modeling capabilities.


6. Performance

Power BI is built to handle massive amounts of data, but if reports and visualizations are not optimized, performance may become a problem. This may involve problems including sluggish report load times, sluggish query execution, and sluggish data refresh rates. Caching large data sets may also cause slowness. Performance can be addressed by setting up optimized refresh schedules and limiting the rows of data that are cached by the reports.

Understanding Power BI's performance tuning methods and having the skills to locate and fix performance bottlenecks are essential for performance optimization.

Conclusion

Power BI is an effective platform that offers businesses the resources and tools necessary to transform data into insights and improve decision-making. However, just like any complicated system, there are several issues that businesses must be aware of and competently handle.

Organizations can fully utilize the power of Power BI and accomplish their data-driven goals by being aware of these difficulties and taking action to reduce them.

How can we help?

Gravitas can help recover poor data & analytics projects and also establish best-in-class Laminar business dashboards to present data about your firm across sales and customer behavior, finance, and operations. Making it easy to communicate your firm’s performance to your employees, investors, and partners. We can help you run your business like a Fortune 500 company – disciplined and informed decisions backed by data. We also specialize in dashboards for project organizations (PMOs). To learn more visit the Laminar for PMO page.



Laminar's Business dashboards present compelling stories about your firm across sales and customer behavior, finance, and operations.




 

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