What are some effective ways to use data in your BI story?

Using data effectively in your Business Intelligence (BI) story can significantly enhance its impact, making it not only compelling but also actionable. Here are some strategies to achieve that: Start with Clear Objectives Know Your Audience Use the Right Data sets. Employ the right data visualizations Tell a Story with Data Incorporate Context Highlight Key Insights Make It Interactive Include Actionable Recommendations Solicit Feedback Continuous Improvement By integrating these strategies into your BI storytelling, you can ensure that your data not only informs but also inspires action and drives decision-making.

At work, I often use data to tell engaging stories, showing clear before-and-after changes. From my opinion, it is more interesting to make complex operational or business information easy to understand with simple stories and future predictions. Also, add pictures and interactive parts to attract the management or team, and share real stories that the management can connect with, making the data easy and interesting to follow.

Here are some effective ways to use data for BI which I have personally used while handling customer data : 1. Make sure you have sufficient data for analysis -This includes collecting and combining the data based upon business requirement. 2. Use the data as per need - Filter out unnecessary data which is not required. 3. Build simple yet effective dashboards - Business people need to make decisions from the dashboard hence the dashboard should be output focused.

First, identify the level of technical knowledge, interests and business issues of the target audience. In other words, understand what the public expects from your story, what problem you want to solve, and build a narrative with a logical sequence that facilitates the public's understanding. Don't stray away from the main message you want your audience to learn or remember after your story. And of course, support your story with data that is consistent with the main message and answers business questions.

Highlighting Data trends and patterns within the data. We can identify key data points to narrate our BI story. We can use it for Storytelling narrative by connecting the dots and making it more meaningful in our narrative

The story should depict a chaos to calm mindset, and recognise that data literacy amongst the consumers of the story is consistent. We therefore talk about dial to detail. Starting with key performance indicators that make sense to everyone in language that is understood. At this point we have consensus and common understanding. To move forward into the detail may require specific subject knowledge.

A análise de dados através de Business Intelligence (BI) permite contar histórias significativas sobre o desempenho e as tendências de uma organiza??o. Utilizando ferramentas de visualiza??o e análise de dados, é possível transformar dados brutos em insights acionáveis. Por exemplo, ao analisar as vendas de uma empresa, podemos identificar padr?es sazonais, avaliar o impacto de campanhas de marketing e prever demandas futuras. Essas histórias de dados orientam tomadas de decis?o estratégicas, impulsionam a eficiência operacional e melhoram o desempenho geral dos negócios.

. Consider structuring your story chronologically or thematically, depending on what aligns best with your data. Each section should smoothly transition to the next, creating a cohesive narrative. Avoid unnecessary complexity or jargon that may hinder understanding, keeping the language straightforward. Incorporate visual aids strategically, such as charts or graphs, to complement your narrative and make complex data more digestible. Conclude with a concise summary that reinforces your main points and their relevance to the overarching goal. This simple and logical structure enhances the accessibility and impact of your BI story for a diverse audience.

A clear and logical structure is crucial for crafting an effective BI story with data. Such a structure ensures clarity, keeping the audience engaged and focused on the key insights. By guiding the flow of information, it enhances the story's memorability and its ability to drive actionable decisions. In essence, simplicity and logic are the cornerstones of compelling BI narratives, enabling audiences to grasp the significance of the data and its implications succinctly.

Simple and logical structure also includes your report layout that is designed for the consumers. A report can have multiple metrics, grouping those metrics will help declutter the story. Visual aid such as highlighting can also put emphasis on your findings and analysis. Having a summary of main points helps to comprehend and also to provide details in bullet points or a short description to follow in your BI story can create happy flow for your audience.

Your choice of charts, colors, and layout is just as crucial as the data itself. Remember, the human brain has a limited attention span (around 7 minutes). Make the most of it by: - Setting the stage: Clearly define the scope of your analysis and pique curiosity with teasers before diving into details - Building the journey: Start with a high-level overview and gradually zoom in with specific graphs for deeper dives - Engaging your audience: Check understanding throughout by asking thought provoking questions - Leaving a lasting impression: Briefly summarize key findings and propose next steps, be it further analysis or action plans Bonus Tip: Consider including a call to action to encourage your audience to engage with your conclusions

Think about how it will be presented, will you tell the story orally, or in a written report or stand-alone dashboard. An oral presentation where you can explain different elements can cope with more details than a written report where some will skip the text and look at the graphs solely.

Effective data visualization is essential for conveying insights, but it's equally critical to maintain clarity and avoid overwhelming the audience. In Power BI, managing the number of visuals on a report page is key to ensuring a coherent narrative. Techniques like drillthrough, bookmarks, and field parameters offer avenues to provide additional perspectives and insights without sacrificing valuable canvas space and risk creating clutter.

Integrate concise and clear data visualizations, like charts or graphs, that align with your narrative. Opt for visuals that enhance comprehension, use colors strategically, and maintain a clean design. For example, a line chart depicting sales trends over time can vividly illustrate patterns and support key insights in your BI story.

Data visualization is essential in Business Intelligence (BI), transforming complex data into intuitive narratives. Choosing the right type of visualization, such as bar charts for comparisons or maps for geographic data, is crucial. Visual aspects like colors and shapes should be used sparingly to avoid distractions. Interactive features like filters and sliders enable audiences to explore data autonomously, generating valuable insights.

Storytelling is the most crucial element of presenting your insights to the stakeholders. Our brains process information based on the intensiveness of the evoked emotions. Evolutionarily, our brains have learned to make the most sense of a plot or story rather than plain text, numbers, or images. If you merely present such information, your audience will still create stories in their brains which may differ from what you planned to tell. If they do, they will process the data. So, you'll have to plan and tell the story carefully. It must be coherent and have an easy, logical flow with the essential elements of any storytelling. It must evoke emotions, engage the audience, and create lasting images in their brains.

Nada resulta más entretenido y gratificante que sumergirse en una historia fascinante, mientras descubrimos y aprendemos acerca de nuestra información durante el proceso. Te sugiero que veas "200 Countries, 200 Years, 4 Minutes" de Hans Rosling. Este video te sumergirá en una fascinante exploración del crecimiento económico a nivel mundial. Su enfoque entretenido te dejará con ganas de profundizar más en el tema. Este ejemplo es mi favorito a la hora de demostrar la importancia del Storytelling. Mantener una narrativa cautivadora es clave para enganchar a tu audiencia. Utiliza herramientas como Tableau y dale un giro a tus presentaciones Ense?ar sobre tus descubrimientos mientras entretienes a tu audiencia es un éxito garantizado.

Data storytelling is an essential tool for presenting results and building analyses. It is important to construct the narrative in such a way that it provides context to the person consuming the information, enabling them to connect with their audience. Begin with more general and macro data before diving into details, unfold the problem or question to be answered so that your audience can follow the construction of the rationale, and develop your characters well, such as indicators and metrics, so that everyone knows who they are and what they represent. And remember, not all presentations need a lot of detail; presenting trends and behaviors also adds value.

1. Data storytelling is an art form combining data, narrative, and visuals. 2. It connects with the audience emotionally and rationally, influencing behavior. 3. Enhance your BI story using anecdotes, examples, or case studies. 4. Make data more relatable and human for a deeper impact. 5. Use metaphors, analogies, or comparisons to simplify and enhance understanding.

Craft a narrative around the data to contextualize insights, create emotional connections, and drive decision-making. Tell a story about how a company leveraged customer feedback data to identify pain points, implement improvements, and ultimately boost customer satisfaction

Remember to consider the importance of refining your story or storytelling skills. It's best done by observing your audience's reactions and feedback. More often than not, excellent analysts, having created actionable insights and improved them, forget to refine their stories and repeat the mistake of not engaging the audience. This paragraph provides a good list of suggestions for getting and using feedback. In this feedback, be it positive or negative, look for what the audience has learned from your story. Do not focus too much on how they evaluate your performance. The audience does not always clearly separate your storytelling and story from how you performed.

Share your BI story with stakeholders, gather feedback, and iterate on your presentation to ensure clarity, relevance, and impact. Present your findings to cross-functional teams, gather input on areas of interest or concern, and refine your story based on their feedback to enhance effectiveness

Maximizing BI Stories Through Feedback In the realm of Business Intelligence (BI), refining your story through feedback is paramount. This process enhances not just the narrative but also the data's accuracy and presentation. Engage a representative audience early on, soliciting their insights and observing reactions to ensure your story resonates and drives action. Leverage data validation tools for accuracy and analytics to gauge your story's impact through measurable metrics like engagement and conversion rates. This iterative approach of feedback and refinement ensures that your BI story not only captures attention but also fosters informed decisions. #BI #DataStorytelling #FeedbackCycle

Seek feedback from stakeholders, colleagues, or other relevant parties to validate and refine your BI story. Gather input on the clarity, relevance, and effectiveness of the story in addressing the defined goal. Incorporate constructive feedback to enhance the quality and impact of your story, ensuring that it resonates with the intended audience and drives meaningful action.

Connect the dots! Make it easy for your audience to understand the business insights in context to the business outcomes, the industry and most importantly the value stream. A lucid explanation of the ‘so what’ and ‘what next’ should be intuitive to create an ‘a-ha moment of truth’

When crafting a data story, here's something to be mindful about: ??Get to know the actual business problem the request is trying to solve - dive deep beyond the surface level question. ?? After identifying the actual business problem, see which other aspects of the business process can your analysis help solve - answering a combination of business problems in one go serves better value in the long term. ? Narrow down the metrics to a few key drivers, that makes it easier for the stakeholders to read, question, and follow the story - remember, less is more. ??Make the data story interesting to view yet simple to focus on - use a mix of the brand's colors and yet keep the standard norms - but limit the color usage to a max of 3-5 colors.

En el BI, la clave para un #storytelling efectivo es convertir los datos en narrativas comprensibles y persuasivas. Identificando patrones y tendencias clave, luego contextualícelos para darles significado. Usemos visualizaciones impactantes para simplificar conceptos complejos y guiar a la audiencia a través de la historia. Personalicemos la narrativa para su audiencia, centrándose en los aspectos que más les interesan. Incorporar casos de éxito y estudios de casos refuerza la credibilidad y demuestra la aplicabilidad práctica. Mantengamos la simplicidad y evite la sobrecarga de información, permitiendo que los datos respalden su mensaje central. Una narrativa cautivadora, maximiza el impacto del storytelling en el BI.

Data itself a story in BI To maximize Business Intelligence, define clear objectives, maintain data quality, integrate diverse sources, design user-friendly dashboards, update data regularly, prioritize robust security, leverage exploration tools, establish data governance, offer training, and maintain a feedback loop for ongoing improvement.

Be clear on the WHY? What does the data set inform? From a business perspective, the statistical validity of relationships between data fields is of little or no interest. If your analysis doesn't add insight to increase profit margins, decrease working capital or optimise costs it is literally useless to line managers. Remember, everyone has a strategy, few can implement it successfully and even fewer can measure success properly. BI must weave a compelling story around the data and present an "Aha" moment to line, otherwise your place at the table is lost in your sea of disconnected data. when you think you're done, ask the most difficult question, "so what now?". Be predictive and not drown in reactive analysis. Takes GUTS! Good luck!