What are the most innovative BI communication and presentation tools and platforms?

Power BI Bookmarks particularly are gold mines. With Power BI bookmarks, you can save a report interaction state just like you can mark a page in your book for ease of getting back to it when you need to.

Showing great creativity through Storytelling with Data Business Intelligence (BI) provides innovative environments and designing techniques. It helps to utilize various kinds of visualization to interact with people. Below are the awesome features that help to convey meaningful insights with data. 1. Bookmark 2. Power BI Q&A 3. Drill through and page navigation 4. Power App that helps to share the message entirely. 5. Sharing in PPT to show as presentation.

There are tools to help tell stories with data. Tableau, Power BI, Qlik Sense, SAP Analytics Cloud, Domo, Google Data Studio, Looker, Narrative Science (Quill), Sisense, and Zoomdata make it easy. They show data in pictures and words, so everyone can understand.

Power BI Q&A, this natural language query feature allows users to ask questions in plain English and get responses in the form of visualizations. It's a handy tool for presenting data to people who may not be familiar with the structure of your reports.

Use storytelling tools to spark users' interest. In Tableau there is a library of esthetically wonderful data masterpieces with public access. One can choose to use them as a source of inspiration.

Prioritize the Story Over Tools While tools bring insights to life, the key is the story itself. Good data storytellers are tool agnostic. Explore data divergently but converge when delivering. Use tools, colors, tooltips, and notes to craft compelling data stories. Techniques for impactful data narratives in all tools: 1. What: Share the Top Three Takeaways 2. Why: Explain Why It Matters 3. What Next: Guide Action Steps Structuring this way ensures audience digestibility. To discover compelling stories, seek outliers: - Identify anomalies - Explain (show visually) how the anomalies are different - Find what might cause it - Show what action can the users take (if any) Find the story, leverage the tool.

Data visualization tools are programs that help you turn numbers and information into pictures. These pictures make it easier to understand the data. Some popular data visualization tools include Tableau, Power BI, and Google Data Studio. They help you create graphs, charts, and maps from your data so you can see patterns and trends more clearly.

Collaboration tools are software or platforms that help people work together, even when they're not in the same place. These tools allow teams to communicate, share files, and work on projects together in real-time. Examples of collaboration tools include Slack, Microsoft Teams, Google Workspace (formerly G Suite), Zoom, Trello, and Asana. They often include features like chat, video conferencing, document sharing, and task management to streamline teamwork and improve productivity. Collaboration tools play a vital role in enabling remote work and fostering efficient communication among team members.

Still, it is important to speak with people directly, as some would be shy to collaborate within a tool where everything is recorded. Behind an openly-shown "thumb-up" can hide "why are we doing all that", which should be uncovered.

The last mile of any BI tool is to succesfully convert the analysis into digestible insights for Business users. From that perspective, Power BI does a great job where one can download the live dashboard directly into a power point presentation. This is great for 3 reasons 1. The data is live, no need to replace screenshots 2. Business users can slice and dice the visuals to get more insights within the power point. 3. Business users can easily update their commentary on the live data before presenting it to top management.

When choosing collaboration tools, think about a few more things. Make sure they fit with what you already use and keep your information safe. It's good if they can work for both small and big teams and if everyone can understand how to use them easily. Having support and training that's easy to access is also important. Check if they're worth the money and if you can change them to suit your needs. Lastly, see what other people think about them. Thinking about these things can help you pick tools that make it easier for your team to work together.

Data management management eventually ends at the end user. From the lowest level consumer to the top management. This means elaborative dashboards and reports where Power BI comes handy. Power BI enables the reports and visuals to be overly interactive and dynamic in the sense that any changes to the underlying data can be reflected on the fly.