Thank you for reading my latest article "The Hidden Revolution - Power BI Data Write-Back". At LinkedIn and on Substack I regularly write about AI, tech, management and future trends.
🔔 To read my future LinkedIn articles simply join my network by clicking 'Follow'.
🚀 Join me on Substack for the full experience, including additional articles, archive, deep dives, resources and podcasts — for free (unfortunately, LinkedIn doesn't offer these)!
Feel free to connect with me. I'm happy to receive your feedback or topic recommendation.
Microsoft Ignite 2024 Event: The Announcement of AI Foundry and More
On November 19, 2024, Microsoft unveiled Azure AI Foundry, a platform aimed at simplifying the design, customization, and management of AI solutions. This initiative includes the introduction of AI Agents, which are designed to automate routine tasks and improve productivity across various business functions. By leveraging the capabilities of Microsoft 365 Copilot, these agents can assist employees in managing workloads more effectively, from project management to customer interactions.
A wrote a coplete article on the AI related features of the AI Foundry.
But there has been another announcement at the Microsoft Ignite event, which was maybe even more interesting for the average business users and decision makers.
Microsoft unveiled the brand-new, exciting native write-back feature for Power BI.
This new functionality allows users to directly modify data within Power BI reports, enhancing interactivity and usability significantly.
Overview of the New Write-Back Feature
The native write-back capability enables users to input and update data directly in Power BI reports without needing to navigate away from the platform. This is particularly advantageous for scenarios where real-time data updates are crucial, such as in dashboards that require immediate feedback or adjustments based on user interactions. The feature is designed to work seamlessly with OneLake sources, although there are discussions about its applicability to other data sources as well.
Comparison with Previous Solutions
Historically, enabling write-back functionality in Power BI required the integration of Power Apps and Power Automate. You had to set up a pretty complex solution for that:
This approach involved creating a canvas app that users would interact with to make updates, which were then processed in the background through automated flows.
Screenshot from the Ignite demo
Old vs. New Solution
Here’s a comparison of the two solutions:
User Experience Improvements
The introduction of a direct write-back feature significantly enhances user experience by:
Reducing Complexity: Users no longer need to navigate between multiple applications (Power BI and Power Apps) to make updates, streamlining their workflow.
Facilitating Real-Time Data Interaction: Immediate visibility of changes fosters a more dynamic reporting environment, allowing users to see the impact of their inputs instantly.
Minimizing Technical Barriers: Users without extensive technical knowledge can now interact with data more effectively, as they do not need to understand the underlying automation processes.
The new native write-back feature in Power BI represents a substantial improvement over previous methods, making data interaction more intuitive and efficient. Imagine, that from now on, you can interact with all your reports!
Use Cases
1. Joint Sales Meetings
Description: In collaborative sales meetings, team members can jointly update lead information and track sales metrics in real time.
Type of Data Modified: Lead status, projected revenue, and contact details.
Business Value Added: This enhances team alignment and ensures that all members have access to the latest information, leading to more informed decision-making and improved sales strategies.
2. Forecasting Meetings
Description: During forecasting sessions, teams can adjust sales forecasts based on the latest market data or trends directly within Power BI.
Type of Data Modified: Sales projections, expense estimates, and growth rates.
Business Value Added: This allows for agile adjustments to forecasts, ensuring that strategic plans are based on the most current data, thus enhancing responsiveness to market changes.
3. Budget Planning Sessions
Description: Finance teams can collaboratively input and modify budget figures during planning sessions, ensuring all stakeholders contribute to the budget process.
Type of Data Modified: Budget allocations, expense categories, and financial targets.
Business Value Added: This fosters transparency and accountability in budgeting processes, allowing for more accurate financial planning and resource allocation.
4. Operational Planning
Description: Operational teams can update data related to inventory levels, staffing schedules, or production plans directly within Power BI dashboards.
Type of Data Modified: Inventory counts, staffing requirements, and production timelines.
Business Value Added: This streamlines workflows by ensuring all stakeholders work with the most up-to-date information, reducing errors and improving operational efficiency.
5. Scenario Analysis for New Product Launches
Description: Analysts can perform what-if analyses by adjusting variables related to new product introductions in different markets directly within Power BI.
Type of Data Modified: Market entry costs, expected sales volumes, and pricing strategies.
Business Value Added: This enables businesses to evaluate potential outcomes quickly and make data-driven decisions regarding product viability and market strategies.
One more thing...
Unfortunately, this exciting is feature is not available yet. Microsoft will gradually roll it out in 2025, but during the next year, we'll have a chance to make use of it. Can't wait that to happen!
I hope, you liked this piece.
Thanks for reading!
✌️Until next time!
Zoltan
🔔 Follow me on LinkedIn and subscribe to receive regular updates on AI, tech and digital transformation topics for managers and leaders.
🚀 Join me on Substack for the full experience, including the archive, deep dives, resources and podcasts — for free!
👉 In case you missed something, check out my latest articles:
The Truth about AI Development's Slowdown - and Why You Shouldn't Care
Tech's Diverging Future Paths After the US Presidential Elections