Home » The use value in Data Visualisation is no longer optional!
BI dashboards are essential tools for businesses, but their effectiveness largely depends on the usability of data visualisation and user experience. Discover how we can rapidly improve the effectiveness and loyalty of your dashboards with our Solution FAST DICTATION.
BI dashboards have become indispensable tools for businesses looking to make informed decisions based on accurate data. However, their effectiveness depends on the trust of operational staff, analysts, and operational decision-makers in relying on the data and information. who to them presented.
The heart of user experience lies in analysing usage: we must no longer just use data, we must understand it, to give it value and meaning.
It is too often observed that data visualisation is entrusted to a technical team who carry out what the business departments (generally managers) instruct them to. This channels efforts into the «how to do it»: problems of data access and quality, and the constraints of BI tools. Questions around usage («who and why?») are neglected.
If dashboards are poorly designed, they can be difficult to understand and use, potentially leading to misinterpretations and wrong decisions, or more often, a waste of time and trust.
According to the FAST DIXIT report by JEMS, companies are experiencing recurring problems with their data visualisations. BI
Dashboards should be simple to use and understand. Users should be able to quickly find the information they need without being overwhelmed by unnecessary data. Visual clutter makes the overall perception confusing, which can hinder decision-making.
Dashboards must be customisable according to each user's needs. Users should be able to choose the data they want to view and how it is displayed. Customisation improves the relevance and usefulness of the information presented.
Dashboards should be interactive to allow users to delve deeper into the data. Static visualisations limit users« ability to »make the data talk" and gain in-depth insights. Users should be able to click on charts to get more information or filter data based on specific criteria.
Dashboards should be clear and easy to read. Users should be able to quickly understand the data presented and the resulting trends. Design errors, such as inconsistent styles or misplaced labels, hinder the readability and interpretation of the data.
DIXIT QUICKLY, Suggest a quick and effective solution to improve the user experience of BI dashboards. Our approach focuses on identifying and eliminating barriers to data comprehension, modernising data representation, and the redesign of the user interface.
Steps for the FAST DIXIT Offer
The first stage of the FAST DIXIT offering is a diagnostic. Using four key screens, JEMS reveals the necessary improvements. Deliverables include a summary note, recommendations, redesigned screens, and support for technical teams.
The first week is dedicated to framing and studying the context, as well as auditing the four selected screens. During this period, the JEMS team conducts an in-depth analysis of the screens to identify weaknesses and opportunities for improvement.
The second week is dedicated to proposed improvements. This includes mock-ups of the new designs and confirmation that the proposals meet the specific user needs. The JEMS team then presents its recommendations and mock-ups for validation.
Finally, JEMS supports its clients in implementing improvements. This support includes a handover workshop and recommendations for the technical teams, including IT services, data visualisation services, data analysts and data engineers.
Our design and data visualisation experts enhance your data storytelling with a method based on User-centred creation of use value.
Improving data visualisation is a crucial investment for any company looking to optimise its data-driven decision-making. Thanks to FAST DIXIT, JEMS offers a quick and effective solution to transform your BI dashboards into powerful and intuitive decision-making tools.
An image doesn't speak, it tells a story.
Data storytelling transforms data into a clear, coherent, and meaningful narrative. It transforms the rational into the emotional.