What is it used for?
Data storytelling is the practice of using data and visualisations to show insights, trends, or messages in a way that is understandable, engaging, and memorable for a wide audience. It combines data analysis with storytelling techniques to make complex information more accessible and actionable, often leveraging visuals and context to support a central message or idea. Data storytelling is used across various fields to inform decision-making and effectively communicate the significance of data-driven findings.
Elevate Data stands out as a powerful ally for SMEs looking to excel in data storytelling. Elevate isn’t just about managing data; it’s about transforming your data into a compelling narrative that informs and persuades. It bridges the gap between data analysts and decision-makers, ensuring that your insights are understood and acted upon strategically.
With Elevate, you’re not handed raw data; instead, it seamlessly integrates your data with your existing systems using Microsoft’s Power BI platform. This integration ensures that your data becomes a dynamic asset that enhances your decision-making processes. And when it comes to data storytelling, Elevate empowers you to craft stories around your data, using rich visuals and context to convey your message effectively.
Whether you’re in Sales, HR, Operations, Marketing, or any other department, Elevate ensures that your data narrative aligns with your unique needs and interests. Elevate is your partner in data storytelling, ensuring that your organisation can harness the full potential of its data and communicate its significance effectively to drive growth and success.
The key points for Data Storytelling:
Narrative Structure: Organising the data and insights into a structured narrative, with a clear beginning, middle, and end. This structure guides the audience through the story and facilitates understanding.
Context: Providing background information to set the stage for the story. This helps the audience understand why the data is relevant and what problem it aims to solve.
Visuals: Using visual aids like graphs, charts, maps, and diagrams to illustrate key points and trends in the data. Visuals enhance the audience’s understanding and make the data more memorable.
Below are some examples of how different teams might use Elevate to visualise their own data:
Context: This example demonstrates both the “performance and trendline for the sales forecast” along with product, target and customers.
Context: Here you can see “New Hire Count by Department”, Employee Performance, Donut Chart along with Base Rate etc
Context: The ability to filter by Region, Revenue by Location, Year & Customer to gain insights from an “Operational viewpoint”
Do you want to put an end to spreadsheet madness? Book a call with us today to discuss your data requirements.