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Power BI implementation planning: Develop content and manage changes - Power BI
Power BI implementation planning: Develop content and manage changes - Power BI
This article helps you to develop content and manage changes as part of managing the content lifecycle.
Group changes into distinct releases with version history.
Depending on how you author content, you'll make different decisions about how to manage it. For instance, for Power BI reports and semantic models, a Power BI Desktop (.pbix) file has fewer options for version control compared to the Power BI Desktop project (.pbip) format. That's because a .pbix file is a binary format, whereas the .pbip format contains text-based human-readable content and metadata. Having human-readable content and metadata allows for easier tracking of model and report changes by using source control. Source control is when you view and manage changes within content to its code and metadata
Excel: A client tool for pivot tables and live connected tables that work with a semantic model. Power BI Report Builder: A desktop application for creating paginated report (.rdl) files.
You can develop and test content without affecting the content that's currently in use. This avoids changes that can cause unintentional disruption to content in production. You can use separate resources for developing and testing content, like using separate data gateways or Fabric capacities. This avoids that resources used for development and testing disrupts production workloads, causing slow data refreshes or reports. You can create a more structured process to develop, test, and release content by having discrete environments for each of these stages. This helps you to improve productivity.
Test and production workspaces
Private workspace with Git integration When delivering business-critical content, each developer can also use their own, private workspace for development. In this scenario, a private workspace allows content creators to test content in the Fabric portal, or use features like scheduled refresh without risking disruption to others in the development team. Content creators can also develop content in the Fabric portal here, such as dataflows. Private workspaces can be a good choice when you are managing content changes by using Git integration together with Azure DevOps.
Alerts: You should set up alerts for when others add, remove, or modify critical files. Scope: Clearly define the scope of the remote storage location. Ideally, the scope of the remote storage location is identical to the scope of the downstream workspaces and apps that you use to deliver content to consumers. Access: You should set up access to the remote storage location by using a similar permissions model as you have set up for your deployment pipeline permissions and workspace roles. Content creators need access to the remote storage location. Documentation: Add text files to the remote storage location to describe the remote storage location and its purpose, ownership, access, and defined processes.
Fabric Git integration has some limitations with the supported items and scenarios. Ensure that you first validate whether Fabric Git integration best suits your specific scenario, or whether you should take a different approach to implement source control.
Use branches Content creators achieve collaboration by using a branching strategy. A branching strategy allows individual content creators to work in isolation in their local repository. When ready, they combine their changes as a single solution in the remote repository. Content creators should scope their work to branches by linking them to work items for specific developments, improvements, or bug fixes. Each content creator creates their own branch of the remote repository for their scope of work. Work done on their local solution is committed and pushed to a version of the branch in the remote repository with a descriptive commit message. A commit message describes the changes made in that commit.
·learn.microsoft.com·
Power BI implementation planning: Develop content and manage changes - Power BI
The Future of Business Intelligence Part 2: Dismantling the Supply Chain and Planting the Forest.
The Future of Business Intelligence Part 2: Dismantling the Supply Chain and Planting the Forest.
A new era of Business Intelligence requires new ways of thinking about and delivering insights. Gone is the just-in-time churn of endless dashboards! Read on to see what takes its place.
outgrows its roots simply falls over. Wave 3 of business intelligence is about a balanced approach to insight generation and distribution. It is not focused on needless growth and does not derive its value from the sheer amount of charts created, but rather its veracity and total value added.
Circulatory: If sap flows in only one direction the data tree dies. Wave 3 must support bi-directional interaction with decision makers and downstream systems to create feedback loops to drive growth and change. This must be built into the DNA of the tool.
So what the heck does this actually mean? The biggest set of changes I see coming for Wave 3 is the backswing of the ‘centralization - distribution’ technology pendulum into a place of balance, where the BI tool is a self-service insight generation platform that easily feeds into other important data processes, instead of being a black-box end point for the data supply chain.
To support this the platform must grow beyond just presenting dashboards. It needs to have an open, headless metrics store to feed AI/ML and apps
Data quality is going to matter even more than it does today, because of how compelling ChatGPT’s answers sound to humans. If your data sucks, it will very confidently give you sucky responses.
There is going to be a major ‘trough of disillusionment’ with this tech when it gets widely implemented in BI and 3% of its answers
A lot of firms may have very poor training data that results in very poor performance and a very bad initial impression.
Rooted: Just as a data tree grows best in great soil, Wave 3 requires an accurate foundation of clearly defined, valuable metrics that can feed any upstream process - whether that’s traditional BI, AI/ML or analytic/operational apps. These metrics are the foundation of balanced self-service.
·superdatablog.substack.com·
The Future of Business Intelligence Part 2: Dismantling the Supply Chain and Planting the Forest.
Power BI adoption roadmap conclusion - Power BI
Power BI adoption roadmap conclusion - Power BI
A conclusion and extra resources of the Power BI adoption roadmap series of articles.
Everything correlates together: As you progress through each of the steps listed above, it's important that everything's correlated from the high-level strategic organizational objectives, all the way down to more detailed action items. That way, you'll know that you're working on the right things.
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·learn.microsoft.com·
Power BI adoption roadmap conclusion - Power BI
Thin Reports, Real-world Challenges - BI Insight
Thin Reports, Real-world Challenges - BI Insight
I previously explained in a blog post what thin reports are and why we should care about them. I also explained Report Level Measures in another blog post. In this post, I try to raise some real-world challenges we face when developing thin reports. I also provide a solution to those challenges. Report Level Measure … Continue reading Thin Reports, Real-world Challenges
·biinsight.com·
Thin Reports, Real-world Challenges - BI Insight
Actionable Insights: The Missing Link Between Data And Business Value
Actionable Insights: The Missing Link Between Data And Business Value
Forrester reports 74% of firms say they want to be “data-driven,” but only 29% are actually successful at connecting analytics to action. Actionable insights are the missing link for companies that want to drive business outcomes from their data. This article defines six key attributes that make insights truly actionable.
·effectivedatastorytelling.com·
Actionable Insights: The Missing Link Between Data And Business Value
How Power BI Metrics and Scorecards Can Transform Productivity Within Business Objectives
How Power BI Metrics and Scorecards Can Transform Productivity Within Business Objectives
Metric and goal setting is paramount when formulating business operations. That's why Microsoft Metrics (previously known as ‘Goals’) make it possible to keep every member of a team striving toward a singular, unified key objective and ensures a higher probability of positive outcomes. In fact, in this study regarding goal setting and optimism, it is shown that the goal setting process assists individual workers to improve their performance and enhances optimism for business success. So, how can productivity metrics and business objectives be met while also integrating the latest and greatest data analysis technology available? In this blog, we will be performing a deep dive into the world of productivity within Power BI’s Metrics and Scorecards.
·bluegranite.com·
How Power BI Metrics and Scorecards Can Transform Productivity Within Business Objectives
Steps towards more agility in BI projects
Steps towards more agility in BI projects
“We now do Agile BI too” – such statements we hear often during conferences and while discussing with customers and prospects. But can you really do agility in Business Intelligen…
·rbranger.wordpress.com·
Steps towards more agility in BI projects
Agile Business Intelligence Maturity Model
Agile Business Intelligence Maturity Model
As outlined in my previous blog agility in business intelligence projects can’t be produced directly. Instead you should invest into professionalism, standardization and automation. In this p…
·rbranger.wordpress.com·
Agile Business Intelligence Maturity Model
BI-specific analysis of BI requirements
BI-specific analysis of BI requirements
Problems of requirement analysis Practically every BI project is about requirements, because requirements communicate “what the client wants”. There are essentially two problems with th…
·rbranger.wordpress.com·
BI-specific analysis of BI requirements
Agile BI Building Blocks 2.0
Agile BI Building Blocks 2.0
Quite a while ago, I published a blog post about my Agile BI Maturity Model. In this post I’d like to show you the current state of the model. First of all I renamed the model to “Agile…
·rbranger.wordpress.com·
Agile BI Building Blocks 2.0
Agile Business Intelligence Explained
Agile Business Intelligence Explained
Achieving BI agility is simple, once you have the right tools. By integrating BI tools in Jira, you can analyze project data at your fingertips.
·eazybi.com·
Agile Business Intelligence Explained
The BI Journey: The Journey Begins
The BI Journey: The Journey Begins
Gogula Aryalingam continues telling the story of the BI solution created by a business analyst intern. In this article, after the initial success, plans are made to sustain and grow the project.
·red-gate.com·
The BI Journey: The Journey Begins
How important is “Data Profiling” in a BI project?
How important is “Data Profiling” in a BI project?
Data Profiling, in other words identifying the sources and checking the quality of the data is a part of a BI project. But how important it is and how much it effect to the success of a BI project? Th…
·asankap.wordpress.com·
How important is “Data Profiling” in a BI project?
Power BI August 2024 Feature Summary
Power BI August 2024 Feature Summary
Welcome to the August 2024 update. Here are a few, select highlights of the many we have for Power BI.  You can now ask Copilot questions against your semantic model. Updated Save and Upload to OneDrive Flow in Power BI and Narrative visual with Copilot is available in SaaS embed. There is much more to explore, please continue to read on!
·powerbi.microsoft.com·
Power BI August 2024 Feature Summary
Introducing AI Skills in Microsoft Fabric: Now in Public Preview | Microsoft Fabric Blog | Microsoft Fabric
Introducing AI Skills in Microsoft Fabric: Now in Public Preview | Microsoft Fabric Blog | Microsoft Fabric
Additional authors: Alex van Grootel At Build, we announced AI skills – a new capability in Fabric that allows you to build your own generative AI experiences. We believe that generative AI enables a fundamentally new way for you to interact with your data, dramatically increasing the amount of data-driven decision-making in organizations across the … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/introducing-ai-skills-in-microsoft-fabric-now-in-public-preview/" class="more-link">Continue reading<span class="screen-reader-text"> “Introducing AI Skills in Microsoft Fabric: Now in Public Preview”</span></a>
·blog.fabric.microsoft.com·
Introducing AI Skills in Microsoft Fabric: Now in Public Preview | Microsoft Fabric Blog | Microsoft Fabric
Application modernization with Power Platform
Application modernization with Power Platform
The low-code development capabilities of Microsoft Power Platform make it possible to build and deploy modern applications faster and more cost-effectively than ever before. Whether you’re a citizen developer tinkering around the edges or a professional developer working on a complex customization, you can drive digital transformation intuitively, quickly, and at a lower cost than with traditional approaches. This white paper explores the benefits, strategies, and best practices of modernizing applications with Power Platform. It provides insights and guidance on how Power Platform can help you ensure the success of application modernization efforts as part of an organization’s digital transformation.
·powerapps.microsoft.com·
Application modernization with Power Platform
SharePoint Roadmap Pitstop: February 2021
SharePoint Roadmap Pitstop: February 2021
So, there may be six more weeks of Winter – thanks, Phil. And February may only have 28 days this go around the sun… but it was busy, no matter how long or short the groundhog shadows. February 2021 brought some great new offerings: Microsoft Viva Topics (GA), SharePoint web part toolbox updates, ...
·techcommunity.microsoft.com·
SharePoint Roadmap Pitstop: February 2021