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
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Tableau
tableau.com › visualization › what-is-data-visualization
What Is Data Visualization? Definition, Examples, And Learning Resources
By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Additionally, it provides an excellent way for employees or business owners ...
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GeeksforGeeks
geeksforgeeks.org › data visualization › data-visualization-and-its-importance
What is Data Visualization and Why is It Important? - GeeksforGeeks
Data visualization is used across ... examples: Business Analytics: Used to monitor company performance, track KPIs and make data-driven decisions by visualizing trends, sales and customer metrics....
Published   2 weeks ago
Discussions

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
🌐 r/BusinessIntelligence
24
15
August 5, 2024
Has data visualization been the most challenging part of analytics for anyone else?
If this post doesn't follow the rules or isn't flaired correctly, please report it to the mods . Have more questions? Join our community Discord! I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns. More on reddit.com
🌐 r/analytics
33
23
June 2, 2023
Data Visualization for Business Analysts: A Comprehensive Guide
Hey readers! Data visualization is one of the most effective tools used by business analysts for transforming accumulated datasets into visual insights. With the visual insights generated from dashboards, analysts can: Make decisions on process optimization Identify new business opportunities or mitigate potential risks Anticipate market shifts and personalize customer experiences Apart from visual insights generation, AI-powered data visualization solutions help business analysts streamline reporting workflows and share data-driven records, fostering a data-driven culture. This guide gives analysts across industries some useful information on AI for data visualization and its technical strengths. More on reddit.com
🌐 r/datavisualization
1
3
November 25, 2024
Should I pursue a minor in data visualization as a management information systems major?
I would say yes. Any career path you take will benefit. Effectively being able to communicate any data to others who are not as immersed in the topic as much as you are is the key. when you are trying to illustrate a point or conclusion that was discovered from the data, short simple and concise visualizations are always important. This translates to how a good advertisement is presented, infographics to summarize an otherwise complex topic. In the world of powerpoint presentations, good looking visuals shine. If you can produce those then you will be looked on as a star. I use GIS a lot to visualize data that has location information all of the time. Take a good excel course and learn pivot charts. The world has so much data now, a person who is a good data visualization expert, they become a good noise filter. You want to get to the relevant data for the task at hand and be able to quickly educate the consumer or decision maker. To that end, do your best to interview or understand the final consumer of the data you need to visualize. Listen to them and ask them "what are you trying to learn?" or "what information do you need to know?" When you know that, you can filter and create visuals that get to those points. More on reddit.com
🌐 r/datasets
10
18
July 22, 2021
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STU
online.stu.edu › home › degrees › business › mba › master of business administration with a specialization in business data analytics › what is data visualization, and how does it turn complex information into clear insights?
Data Visualization Guide: Charts, Tools & Insights
October 20, 2025 - Each type of data visualization serves a unique purpose. When used strategically, it can simplify complex analysis into insights that drive results. Business data analytics relies on clear, accurate visuals to guide decision-making.
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Microsoft
microsoft.com › en-us › power-platform › products › power-bi › topics › data-visualization › data-visualization-vs-storytelling
Data Visualization & Data Storytelling | Microsoft Power BI
By using data visualization to tell your story, you offer a more complete story to your audience and, thus, allow them to connect correlations, recognize trends, and draw their own conclusion or form their own opinions. It’s important to note that data analytics presented in your visualization without contextual storytelling can lead to your audience prolonging a decision, coming to the wrong conclusion, or getting lost in the vast amounts of data.
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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
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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
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FasterCapital
fastercapital.com › content › Business-analytics--Data-Visualization-Techniques--Data-Visualization-Techniques--A-Picture-of-Business-Analytics.html
Business analytics: Data Visualization Techniques: Data Visualization Techniques: A Picture of Business Analytics - FasterCapital
March 30, 2025 - Data visualization is an integral component of business analytics that serves as a bridge between raw data and actionable insights. It is the process of translating large and complex datasets into visual formats that are easier to understand ...
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W2S Solutions Blog
w2ssolutions.com › blog › data-visualization-in-business
Making Data Speak: A Guide to Effective Data Visualization in Business
December 23, 2024 - Data visualization in business uses visual elements like charts, graphs, and maps to represent data related to various aspects of the business, such as sales trends, customer behavior, financial performance, and marketing campaign results.
Find elsewhere
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Plotly
plotly.com › homepage
Data Apps for Production | Plotly
Old-school business intelligence is out. With AI data analysis, your data becomes an interactive data app in minutes. ... Upload your dataset and get a stunning, AI-generated data app in minutes, backed by enterprise-ready Python code behind the scenes. Expert-trained AI agents for data visualization and analysis find insights beyond your imagination.
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Oracle
oracle.com › analytics
What Is a Data Visualization? | Oracle
June 18, 2021 - But with most tools, the user has a wide choice of visual analytics options, from common charts such as line graphs and bar charts to timelines, maps, plots, histograms, and custom designs. Data visualization is not a new concept. The paintings on the walls of Lascaux Cave could be considered a form of data visualization, telling hunting stories from many thousands of years ago. High technology has introduced new visual options. But even modern data visualization involves telling a story. For business intelligence, it can be a story that tracks a company’s performance across key indicators.
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BluEnt
bluent.com › home › rethinking data with the power of data visualization analytics
Data Visualization Analytics: Types, Key Benefits, and Importance
November 26, 2024 - Both data visualization and analytics come together to bring a clear picture of: Industry trends, behavioral patterns of customer analytics, and other market insights derived from surveys, opinion polls, and discussion channels. Business revenues and return-over-investment for comparative sales data analysis, costs of infrastructure and workforce, and other expenses.
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ClicData
clicdata.com › blog › what-are-bi-data-visualization-data-analytics
What are BI, Data Visualization & Data Analytics | ClicData
May 14, 2025 - 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.
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Black Label
blacklabel.net › home › business insights › when insight meets advantage – data visualization for business growth
When Insight Meets Advantage – Data Visualization for Business Growth - Black Label
August 19, 2025 - Data visualization is not decoration. It’s the interface between raw data and real decisions. In the context of business intelligence, well-designed visualization helps managers, investors, and operational teams connect the dots rapidly and accurately.
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Userpilot
userpilot.com › blog › data-analytics-charts
10 Types of Data Analytics Charts + Data Visualization Examples
October 26, 2025 - A multiline chart can easily show you the trends and changes in product usage for every device so you can compare and see what optimizations are worth implementing. ... Funnel charts illustrate the progressive reduction of data as it passes through multiple phases. Essentially, these data analytics charts lay out a process that begins at 100% and follows a smaller percentage after each stage so you can visualize, for example, how many leads progressed through a sales process.
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iSchool
ischool.syracuse.edu › home › articles
What Is Data Visualization? Benefits, Types & Best Practices
April 1, 2025 - It allows integration with hundreds of data sources and supports a wide array of visualization types, from basic charts to advanced maps. Best for: Enterprise-level data analysis and complex visualizations. Limitations: The free version (Tableau Public) makes your visualizations public, which may not be suitable for sensitive data. Zoho Analytics is tailored for business intelligence, providing easy-to-use dashboards for visualizing sales, marketing, financial data, and more.
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365 Data Science
365datascience.com › blog › trending topics › top 3 data visualization tools for business analytics in 2025
Top 3 Data Visualization Tools for Business Analytics 2025 – 365 Data Science
January 17, 2025 - Another interesting feature of Power BI has to do with processing diverse information in a fast, responsive manner – something that many other instruments fail to do. As such, this tool houses several software services and connectors. For a small data volume, Power BI visualization is probably the right tool for you. This business analytics service offers 3 views: Report View, Data View, and Model View.
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IBM
ibm.com › think › topics › data-visualization
What Is Data Visualization? | IBM
November 17, 2025 - Learn how to incorporate generative AI, machine learning and foundation models into your business operations for improved performance. ... Learn why having a complete freedom in choice of programming languages, tools and frameworks improves creative thinking and evolvement. ... Watsonx.data enables you to scale analytics and AI with all your data, wherever it resides, through an open, hybrid and governed data store.
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NetCom Learning
netcomlearning.com › blog › what-is-data-visualization
What is Data Visualization & Why is it Important in 2025?
4 weeks ago - Learn what data visualization is, its importance, types, tools like Power BI, and real-world examples to turn raw data into actionable business insights.
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RMIT Short Courses
shortcourses.rmit.edu.au › home › data science & analytics › data analytics › business analytics and visualisation
Business Analytics and Visualisation | RMIT Online
Teaming up with the best in industry, our Future Skills courses lean into the future of work to deliver the best in structured, mentor-supported, 100% online education. ... Business analytics and visualisation utilises data to draw insights, helping inform a business’ decisions with improved accuracy and efficiency.
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Airbyte
airbyte.com › data integration platform › data engineering resources › what is data analytics and visualization: impact & applications
What is Data Analytics and Visualization: Impact & Applications | Airbyte
August 29, 2025 - The integration of prescriptive analytics with automated systems enables real-time optimization of business processes. Organizations can implement dynamic pricing, resource allocation, and operational adjustments automatically based on changing conditions. Data visualization transforms abstract numerical information into visual representations that leverage human cognitive capabilities to identify patterns, relationships, and insights that might remain hidden in traditional tabular formats.
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Flourish
flourish.studio
Flourish
Create stunning charts, maps and interactive content that engage and inspire – instantly. No coding required. ... From data visualizations and interactive elements to immersive storytelling, Flourish empowers you to turn complex data into interactive visuals that wow your audience - whether you're an expert or just starting out.