A lot depends on your exact role. A BI Analyst that is the "face" of the project with the stakeholders needs a different mix of skills than a BI Developer that makes models and creates the technical solutions that enable the visualizations to be accurate and have access to clean data. Some people might have jobs that encompass both roles, which is a whole different ball of wax. For me personally, as an Analyst in Consulting, I would say my biggest asset in terms of skills is vision. I put a lot of effort into looking down the road in a project, anticipating potential roadblocks before they detail the project, as well as keeping us on track by managing priorities to ensure we're always on target to deliver the solution we agreed to and not getting distracted and bogged down by extraneous things. Part of this is through good time management as well and providing accurate estimates to create realistic schedules, tracking that schedule to determine when we're deviating from the estimates and why, as well as identifying ways to save time without compromising quality to get us back on track. I have solid technical skills, soft skills, and business acumen that helps a ton, but the biggest differentiator between my peers and I is that I'm able to work to keep a project on track and humming along. At the end of the day, if you deliver the most beautiful dashboard conceived by man 5 years too late and 300% over budget, you've failed. If you deliver a trash pile of half finished ideas that don't flow and tell a story, or doesn't waste too much time polishing a "nice to have" feature while letting a critical item languish, then you've failed. Much of this falls under what I usually call "light project management" but should be done in conjunction with the PM or Scrum Master. The Analyst usually has the best view on what the requirements are, and so they're best positions to make decisions about what's important, what's not, and what the cost of decisions will be, whereas it's the PM's job to eliminate roadblocks, right for that realistic schedule, and get access to the resources needed to execute on closing things out. Being that fulcrum between the Business Stakeholders, Technical Developers, and Project Management is where I can deliver the most value. Answer from Doctor__Proctor on reddit.com
Yellowfin
yellowfinbi.com › blog › what-is-data-visualization-importance-in-business-intelligence
What is Data Visualization and its Importance in BI? - Yellowfin
September 1, 2025 - When used correctly, visualizations ... intelligence and data visualization tools allows companies to analyze data more effectively, uncover hidden insights, and make strategic decisions....
Avenga
avenga.com › insights › business intelligence and data visualization
Business Intelligence and Data Visualization - Avenga
June 18, 2025 - BI enables executives and managers to use a range of instruments and methodologies to collect data from internal and external systems, organize it for analysis, develop and run queries for data processing, and create visualizations, dashboards, and reports that depict meaningful and useful analytical results. A well-thought business intelligence architecture provides an infrastructure for data collection organization, its management, and supporting technology – fundamentals for building a cohesive BI solution that ultimately leads to future return of investment (ROI).
What makes you great at Business Intelligence / Data Visualization ?
A lot depends on your exact role. A BI Analyst that is the "face" of the project with the stakeholders needs a different mix of skills than a BI Developer that makes models and creates the technical solutions that enable the visualizations to be accurate and have access to clean data. Some people might have jobs that encompass both roles, which is a whole different ball of wax. For me personally, as an Analyst in Consulting, I would say my biggest asset in terms of skills is vision. I put a lot of effort into looking down the road in a project, anticipating potential roadblocks before they detail the project, as well as keeping us on track by managing priorities to ensure we're always on target to deliver the solution we agreed to and not getting distracted and bogged down by extraneous things. Part of this is through good time management as well and providing accurate estimates to create realistic schedules, tracking that schedule to determine when we're deviating from the estimates and why, as well as identifying ways to save time without compromising quality to get us back on track. I have solid technical skills, soft skills, and business acumen that helps a ton, but the biggest differentiator between my peers and I is that I'm able to work to keep a project on track and humming along. At the end of the day, if you deliver the most beautiful dashboard conceived by man 5 years too late and 300% over budget, you've failed. If you deliver a trash pile of half finished ideas that don't flow and tell a story, or doesn't waste too much time polishing a "nice to have" feature while letting a critical item languish, then you've failed. Much of this falls under what I usually call "light project management" but should be done in conjunction with the PM or Scrum Master. The Analyst usually has the best view on what the requirements are, and so they're best positions to make decisions about what's important, what's not, and what the cost of decisions will be, whereas it's the PM's job to eliminate roadblocks, right for that realistic schedule, and get access to the resources needed to execute on closing things out. Being that fulcrum between the Business Stakeholders, Technical Developers, and Project Management is where I can deliver the most value. More on reddit.com
Suggestions for Data Visualisation tools & processes.
A bunch of tools do embedded dashboards and chatbots. Check out Explo, Metabase, or Inventive for out-of-the-box solutions, or something like Observable and their open-source D3 visualization library. The open-source ones will allow you to achieve that multi-tenancy because, presumably, you can host them yourself rather than purchasing individual licenses from a cloud vendor. I would not recommend building an entire business intelligence tool/analytics feature set yourself if you don't need to, especially if your customers want visual interactivity and filter sets (which they all do). In terms of the build / buy / partner decision for feature development, this one is definitely in the "buy" category. More on reddit.com
What is your favorite data visualization BI tool?
What kind of company do you work for? Both the fact that they want AI and real time reporting and that they would put this on an intern sounds very sus, is it a start-up? More on reddit.com
I Want To Mature Beyond PowerBI/Tableau for Visualization, have any BI Professionals done this?
I use d3.js a lot for custom visualisation, stock "BI" tools are very humdrum by comparison, but you do need some SWE skills and a mind for data structures to get the best out of it. You'll need to understand things like when to use canvas versus when svg can be your friend. Link it up with something like cube and a decent olap database and Vue and you end up with an easy to write frontend that performs really well. Be aware though, that the most valuable information often is not found in flash graphics, but in carefully curated data that's filtered and sorted to bring the most important snippets to the top. Being able to write a custom visualisation helps you convey the message, but you still need to put the effort in to clean the data and ensure that the values you are presenting are correct. More on reddit.com
Videos
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Reddit
reddit.com › r/businessintelligence › what makes you great at business intelligence / data visualization ?
r/BusinessIntelligence on Reddit: What makes you great at Business Intelligence / Data Visualization ?
August 5, 2024 -
I ask because I think there are various skills that come together when it comes to Business Intelligence, as you work on both the business and technical sides. I feel like it’s natural to lean more to one side or the other.
For me, it’s more about the problem-solving, design, and stakeholder skills than pure SQL/Python or heavy statistical elements, but those are things that I want to improve on. I feel like there are other elements I’ve never even considered.
So what's yours ?
Top answer 1 of 13
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A lot depends on your exact role. A BI Analyst that is the "face" of the project with the stakeholders needs a different mix of skills than a BI Developer that makes models and creates the technical solutions that enable the visualizations to be accurate and have access to clean data. Some people might have jobs that encompass both roles, which is a whole different ball of wax. For me personally, as an Analyst in Consulting, I would say my biggest asset in terms of skills is vision. I put a lot of effort into looking down the road in a project, anticipating potential roadblocks before they detail the project, as well as keeping us on track by managing priorities to ensure we're always on target to deliver the solution we agreed to and not getting distracted and bogged down by extraneous things. Part of this is through good time management as well and providing accurate estimates to create realistic schedules, tracking that schedule to determine when we're deviating from the estimates and why, as well as identifying ways to save time without compromising quality to get us back on track. I have solid technical skills, soft skills, and business acumen that helps a ton, but the biggest differentiator between my peers and I is that I'm able to work to keep a project on track and humming along. At the end of the day, if you deliver the most beautiful dashboard conceived by man 5 years too late and 300% over budget, you've failed. If you deliver a trash pile of half finished ideas that don't flow and tell a story, or doesn't waste too much time polishing a "nice to have" feature while letting a critical item languish, then you've failed. Much of this falls under what I usually call "light project management" but should be done in conjunction with the PM or Scrum Master. The Analyst usually has the best view on what the requirements are, and so they're best positions to make decisions about what's important, what's not, and what the cost of decisions will be, whereas it's the PM's job to eliminate roadblocks, right for that realistic schedule, and get access to the resources needed to execute on closing things out. Being that fulcrum between the Business Stakeholders, Technical Developers, and Project Management is where I can deliver the most value.
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being able to quickly pick up on stakeholder requests and rapidly adapt and deliver. learn what they like and keep it simple and clean to get adoption. i create shells of my projects and share with execs and get their feedback multiple times before i fully build anything out
LinkedIn
linkedin.com › pulse › why-data-visualization-crucial-business-5-reasons-zoomcharts-byxne
Why Data Visualization is Crucial in Business | 5 Reasons
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Sigma
sigmacomputing.com › home
Sigma. Business Intelligence and Analytics Solution
“Sigma has changed the way we are able to consume large amounts of data in IT and how business users can consume data without code.” ... Go beyond dashboards. Build AI apps with writeback and multi-step workflow actions. ... View forecasts, analyze deals, and plan accurately with live insights. ... Build and customize P&Ls, dashboards, and accelerate month-end reporting. ... Generate forecasts, automate workflows, and track approvals in one environment. ... Visualize margins, forecast tariffs, and optimize suppliers using real-time data.
Published June 9, 2025 Views 5K
Michigan Ross
michiganross.umich.edu › courses › business-intelligence-and-data-visualization-12663
Business Intelligence and Data Visualization | Michigan Ross
This course teaches students how to explore, analyze and visualize multi-dimensional datasets in a variety of business contexts, as well as how to communicate the findings. The course demonstrates best practices for data visualization, common mistakes and pitfalls that should be avoided, and ...
ResearchGate
researchgate.net › publication › 388780215_Enhancing_Business_Intelligence_with_Data_Visualization_Tools
(PDF) Enhancing Business Intelligence with Data Visualization Tools
February 6, 2025 - Explore AI-driven analytics and predictive visualization tools for future-ready BI. ... Provide BI training sessions to improve data literacy. Encourage collaboration between departments to enhance data usage. Demonstrate the business value of BI through real-world case studies and success ... Business Intelligence (BI) are evolving rapidly.
Grow
grow.com › blog › how-business-intelligence-and-data-visualization-are-changing-the-field-of-play-for-businesses
How Business Intelligence and Data Visualization are Changing the Field of Play for Businesses | Grow.com
Just as we use data to guide these everyday decisions, businesses use big data and predictive analytics to derive insight and develop smarter strategies. That is why big data has driven growth in business intelligence (BI) and data visualization, as every company needs a plan for how it will engage with the data it collects.
AltexSoft
altexsoft.com › blog › data-visualization-tools-types-techniques
A Complete Guide to Data Visualization in Business Intellige
September 20, 2019 - Transformation assumes data cleaning, mapping, and standardizing to a unified format. Further, cleaned data can be moved into a storage: a usual database or data warehouse. To make it possible for the tools to read data, the original base language of datasets can also be rewritten. Business intelligence data processing in a nutshell So, now you can see where data visualization actually takes place in the whole process.
ClicData
clicdata.com › blog › what-are-bi-data-visualization-data-analytics
What are BI, Data Visualization & Data Analytics | ClicData
May 14, 2025 - The use of data visualization—the graphical and numeric depiction of the data and data aggregates, such as numbers, tables, and charts—is key to conveying information quickly, effectively, and intuitively. In other words, data visualization turns regular data into information. Once your data warehouse contains all the data that’s required for your business operations and management to do their jobs effectively, then your business needs to generate reports to make the data useful.
SCIKIQ
scikiq.com › home › it-scikiq
What is Data Visualization? A Game Changer in Business Intelligence
October 6, 2025 - Remember, the power of data lies not just in its collection, but in its interpretation and understanding. Visualization is the bridge that connects raw data to insightful action. So, whether you’re a billion-dollar company or a small start-up, harnessing the power of data visualization could be your next step toward achieving your business goals. Tags:AI big data Data analytics Data visualisation SCIKIQ ... AI Banking big data Business Business Intelligence Chatbot Customer Services cyber security Data analytics data catalogue Data curation Data fabric Data Governance Data integration Data l
UoA Online
online.auckland.ac.nz › online-courses › science › data-visualisation-and-business-intelligence
Data Visualisation and Business Intelligence | UoA Online
Our online course in Data Visualisation and Business Intelligence (BI) provides you with the essential tools and techniques to transform raw data into actionable strategies. You will learn how to create compelling visualisations, utilise BI ...