Dashboards & Visualization
About this topic
Dashboards and visualization tools and techniques are used to present complex data in interactive, graphical formats. Clear dashboards and visualization approaches support informed decision making by transforming raw data into actionable information.
Community Posts
We use Microsoft PowerBI extensively at the company. Over 15,000 reports.
For our "corporate" reports, like financials or HR, we centralize those requests and attend them with my team.
We currently "extract" information from multiple systems (ie. SAP, SuccessFactors, CRM, etc...) and put in into a SQL Analysis Services. For interpreting the data we have a Semantics model in PBI.
The problem I see is we can't scale enough to comply with the reporting demands as the semantic model is "unique" and we end up having only one or two developers that can work at a time.
Anyone has an idea how to scale their PBI teams without having to redevelop the semantic model per report?
Excel33%
Word44%
Sharepoint48%
Internal intake process (home grown system)38%
Third Party Vendor8%
Other5%
What visualization methods have you found most effective in conveying complex IT concepts or strategies to stakeholders?
Do you have any dashboards that effectively showcase the business value of IT spending in your organization?
Yes59%
No27%
Not yet, but we’re actively working on it14%
Our company deeply entered in the Microsoft world (EntraId, M365, Azure). Microsoft is publishing, in particular, a compliance dashboard and security dashboard. How are you using them and which kind of governance are you putting around them?
Originally for Telecoms (but applicable to many other verticals too) What software systems (both off-the-shelf & in-house) is your GIS stack comprised of, which is used to plan and build (and then manage) an optic fiber network?
Based on your experience, what sets apart a dashboard that merely showcases information from one that effectively equips users to make informed decisions and catalyze impactful outcomes?
At your organization, how are end users able to leverage data and analytics solutions to answer questions and solve problems (e.g., self-service)?
Data and analytics solutions are available and easy for all users to access.13%
Data and analytics solutions are available for all or most users, but require specialized skills (e.g., data science, AI/ML)59%
Data and analytics solutions access is restricted to a few skilled teams (e.g., IT, analytics team)21%
There are no data and analytics solutions available.4%
Other (comment below)1%