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I’m Salma Sultana - 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 𝗼𝗳…
Welcome to my profile!
I’m Salma Sultana - 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 𝗼𝗳…
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Salma Sultana reposted thisTitles don’t always need a story, but they should have an 𝘪𝘯𝘵𝘦𝘯𝘵. Ok, let’s put this into perspective. In data communication, not every title is about persuasion, storytelling, or driving decision. There are certain situations where 𝗴𝗲𝗻𝗲𝗿𝗶𝗰 𝘁𝗶𝘁𝗹𝗲𝘀 𝗱𝗼 𝗺𝗮𝗸𝗲 𝘀𝗲𝗻𝘀𝗲. But did you know you can elevate generic titles without forcing a narrative or a takeaway. Simply frame it in terms of “𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀”. For instance: Consider a survey measuring employee reactions to organizational changes: 👉Before: “Employee Survey Results” → After: “How employees are reacting to changes” Notice the difference? The focus moves from just collecting feedback to what that feedback represents. Think of it as a more 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗿𝗲𝗱 𝗳𝗿𝗮𝗺𝗶𝗻𝗴. Behind every metric there is behaviour and your goal should be to help your audience understand that behavior, not just look at numbers. I’ve given 2 more examples below. Give it a go in some of your future charts. Instead of using titles as simple labels, use them as signals. It might just change how your audience perceives the data in your visuals.
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Salma Sultana shared thisTitles don’t always need a story, but they should have an 𝘪𝘯𝘵𝘦𝘯𝘵. Ok, let’s put this into perspective. In data communication, not every title is about persuasion, storytelling, or driving decision. There are certain situations where 𝗴𝗲𝗻𝗲𝗿𝗶𝗰 𝘁𝗶𝘁𝗹𝗲𝘀 𝗱𝗼 𝗺𝗮𝗸𝗲 𝘀𝗲𝗻𝘀𝗲. But did you know you can elevate generic titles without forcing a narrative or a takeaway. Simply frame it in terms of “𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀”. For instance: Consider a survey measuring employee reactions to organizational changes: 👉Before: “Employee Survey Results” → After: “How employees are reacting to changes” Notice the difference? The focus moves from just collecting feedback to what that feedback represents. Think of it as a more 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗿𝗲𝗱 𝗳𝗿𝗮𝗺𝗶𝗻𝗴. Behind every metric there is behaviour and your goal should be to help your audience understand that behavior, not just look at numbers. I’ve given 2 more examples below. Give it a go in some of your future charts. Instead of using titles as simple labels, use them as signals. It might just change how your audience perceives the data in your visuals.
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Salma Sultana shared thisRemember this sad post about how I had to take down my own website? Well, I thought it would take me a couple of days to redesign everything, but as it turns out, I’m not exactly a professional web designer. The "quick-fix" ended up becoming a two-week headache of experimenting, redesigning, breaking things, fixing them again…you get it. But I’m still happy I decided to do it myself instead of outsourcing it. Anyways, the good news is, the site is back up and running, which means I can finally get back to my usual groove again. BTW, 𝘢𝘥𝘥𝘪𝘵𝘪𝘰𝘯𝘢𝘭 training programs have been lined up, so do check out the website for the course descriptions and details. And yes, the discounted 𝗗𝗮𝘁𝗮 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗼𝗻 𝘁𝗵𝗲 𝟮𝟴𝘁𝗵 𝗶𝘀 𝘀𝘁𝗶𝗹𝗹 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴. I know there are only a few days left, but if you’ve been planning to enroll, now’s probably the best time to jump in. Link in comments 🙂
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Salma Sultana shared thisAlright guys - the 𝘥𝘪𝘴𝘤𝘰𝘶𝘯𝘵𝘦𝘥 𝗗𝗮𝘁𝗮 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 is making a comeback this 𝗠𝗮𝘆 𝟮𝟬𝟮𝟲. The training has been in limbo for the past 2–3 months for a lot of reasons, which you'll figure out if you read my older posts, but the wait is 𝘧𝘪𝘯𝘢𝘭𝘭𝘺 over. 𝗜’𝗹𝗹 𝗯𝗲 𝗱𝗿𝗼𝗽𝗽𝗶𝗻𝗴 𝗻𝗲𝘄 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗱𝗮𝘁𝗲𝘀 𝗻𝗲𝘅𝘁 𝘄𝗲𝗲𝗸. For all of you who reached out earlier inquiring about the training, I really really really appreciate the patience you guys. The training is 𝟰-𝗵𝗼𝘂𝗿𝘀 long, but if you’re looking for something 𝘦𝘷𝘦𝘯 𝘮𝘰𝘳𝘦 in-depth, then my long-form trainings (full-priced, more intensive, longer sessions) are still available. For those, you can just DM me and I’ll share the details.
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Salma Sultana posted this….and then there are those rare days when I decide to test the limits of my own brain….. So here’s what happened. Yesterday, I decided to redesign parts of my website. Normally, I experiment designs on a separate test page, and replicate it on the actual site only once everything looks good. But yesterday, I tried editing the live website directly. I guess I was just feeling brave. Technically, everything would’ve been fine… except while I was designing, I was also yelling across the house to my husband in another room about something useless, my daughter was making annoying noises - basically my mind was overwhelmed. And ultimately, in the middle of all that chaos, I ended up clicking on “Publish” instead “Save”, which basically made my half-finished design go live. And the only way to recover it was to unpublish the entire website. So yeah…..now my site is officially down. Hopefully, I’ll get everything sorted in the next couple of days. Moral of the story? I’ll let you write that one in the comments.
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Salma Sultana shared this"𝘋𝘰𝘯’𝘵 𝘥𝘦𝘴𝘤𝘳𝘪𝘣𝘦 𝘵𝘩𝘦 𝘤𝘩𝘢𝘳𝘵, 𝘦𝘹𝘱𝘭𝘢𝘪𝘯 𝘸𝘩𝘢𝘵 𝘪𝘵 𝘮𝘦𝘢𝘯𝘴." You hear that too often? In most cases, it absolutely the right approach. When you present live, your audience doesn’t need a play-by-play of what they can already see. They need interpretation, context, and direction. But, you know what? Occasionally, you need to make room for exceptions. If the visual you’re presenting is slightly unconventional, or perhaps layers multiple ideas, then skipping straight to the insight might actually backfire! In such situations, take a minute or two to briefly explain the chart to your audience - what they’re looking at, how to read it, what to focus on….etc. Trust me, those two minutes of explanation can save you ten minutes of interruptions, clarifications, and room full of managers or executives nodding along without really understanding. Take 𝘄𝗮𝘁𝗲𝗿𝗳𝗮𝗹𝗹 𝗰𝗵𝗮𝗿𝘁 for example. For most, the chart isn’t always intuitive at first glance, but it’s a really great way to break down how you get from one number to another (like moving from revenue to profit). But if you do a quick walk-through on how to read the chart, the visual will become far more impactful for your audience. The point is - 𝗯𝗲 𝗶𝗻𝘁𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹. Don’t explain the chart for the sake of it - do it because the payoff is worth it, by bringing everyone to the same page.
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Salma Sultana shared thisMost of you 𝘢𝘭𝘳𝘦𝘢𝘥𝘺 know the technical side of bar graph usage - when to use horizontal vs. column ones. There’s some solid content out there on this, so I won't get into all that. But there’s 𝘰𝘯𝘦 aspect I notice often gets overlooked, and perhaps one of the most critical: 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻. Choosing between horizontal & column bar graphs shouldn’t just be a technical decision. It should also consider 𝘩𝘰𝘸 𝘪𝘯𝘵𝘶𝘪𝘵𝘪𝘷𝘦𝘭𝘺 𝘺𝘰𝘶𝘳 𝘢𝘶𝘥𝘪𝘦𝘯𝘤𝘦 𝘤𝘢𝘯 𝘳𝘦𝘢𝘥 𝘵𝘩𝘦 𝘷𝘪𝘴𝘶𝘢𝘭. Say some of the tallest buildings were ranked using horizontal bars. Technically, it works fine, but would it feel natural to quickly spot the tallest? Or would vertical bars make that judgment more instinctive, even if the labels were a bit longer? Now, I know this is an extreme example, but it really highlights something important: 𝗽𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗽𝗹𝗮𝘆𝘀 𝗮 𝗯𝗶𝗴 𝗿𝗼𝗹𝗲 𝗶𝗻 𝗵𝗼𝘄 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝗱. When we compare things like height, rankings, or performance (highest vs. lowest), we generally think vertically - up means more, down means less. A horizontal bar graph might still be correct, but it can add just enough friction to slow down how quickly the message is grasped. 𝗦𝗼 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘁𝗵𝗲𝗻 𝗯𝗲𝗰𝗼𝗺𝗲𝘀: 𝘐𝘴 𝘪𝘵 𝘸𝘰𝘳𝘵𝘩 𝘧𝘰𝘳𝘤𝘪𝘯𝘨 𝘢 𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭𝘭𝘺 𝘤𝘰𝘳𝘳𝘦𝘤𝘵 𝘷𝘪𝘴𝘶𝘢𝘭 𝘪𝘧 𝘪𝘵 𝘴𝘭𝘰𝘸𝘴 𝘥𝘰𝘸𝘯 “𝘪𝘯𝘴𝘵𝘪𝘯𝘤𝘵𝘪𝘷𝘦” 𝘶𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥𝘪𝘯𝘨? Or is it better to adjust the choice so it aligns better with how people naturally interpret what they see? I know this trade-off doesn’t matter much for technical/operational folks who navigate visuals pretty easily, but for leadership teams, perception is critical. When the direction of bars align well with “𝗻𝗮𝘁𝘂𝗿𝗮𝗹 𝗵𝗲𝘂𝗿𝗶𝘀𝘁𝗶𝗰𝘀”, the message usually becomes easier to grasp, and often more persuasive too, which ultimately is always a good thing. What are your thoughts on this?
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Salma Sultana shared thisThis is 100% 𝘯𝘰𝘵 the first time you’re reading about this, but I seriously don’t mind repeating it, because the more I train, the more I realize how common this misconception still is: “𝙄𝙛 𝙩𝙝𝙚 𝙙𝙖𝙩𝙖 𝙞𝙨 𝙘𝙤𝙧𝙧𝙚𝙘𝙩, 𝙩𝙝𝙚 𝙢𝙚𝙨𝙨𝙖𝙜𝙚 𝙬𝙞𝙡𝙡 𝙣𝙖𝙩𝙪𝙧𝙖𝙡𝙡𝙮 𝙗𝙚 𝙪𝙣𝙙𝙚𝙧𝙨𝙩𝙤𝙤𝙙.” That’s not really how people process information. Your job isn’t just maintaining accuracy - it’s also making sure the message is clear. Here’s what typically happens when someone looks at your visual: 👇 They don’t just start with the numbers.They initially form a 𝗾𝘂𝗶𝗰𝗸 𝗶𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 of what they think the data is saying, and then they look at the details. For instance, if your chart looks like growth, they assume things are improving even before reading the data points. If it feels volatile, they assume instability, even if the fluctuations are minor. And that first impression can become a strong anchor for everything that follows. So here’s how you can guide your audience: 1️⃣ 𝗕𝗲 𝗰𝗹𝗲𝗮𝗿 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆 Don't compromise here! If you don’t define the takeaway clearly, your audience will. And chances are, it won’t be the same as yours. 2️⃣ 𝗗𝗲𝘀𝗶𝗴𝗻 𝗳𝗼𝗿 𝗳𝗶𝗿𝘀𝘁 𝗶𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 Make sure your chart’s shape, layout, emphasis, color…etc naturally directs attention to part that matters. What your chart looks like at a glance matters more than you think! 3️⃣ 𝗦𝗵𝗼𝘄 𝘀𝗼𝗺𝗲 𝗿𝗲𝘀𝘁𝗿𝗮𝗶𝗻𝘁 Seriously, more detail ≠ more clarity. Add just enough to support the message, not bury it. If people have to work too hard to figure it out, you’ve already lost the narrative. In short, don’t just leave first impression to elevator pitches guys, it matters in data communication too. Even if you provide the data with full accuracy, if you leave interpretation entirely to your audience, there’ll always be a risk of misalignment, some misled discussion & decisions, and a whole lot of confusions down the line.
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Salma Sultana shared thisYou know what’s one of the hardest part of designing visuals for presentations? Finding that delicate balance between showing enough details to support the message, but 𝘯𝘰𝘵 adding so much that it creates clutter or confusion. In such situations, every so often I turn to 𝗲𝘅𝗽𝗹𝗼𝗱𝗲𝗱 𝗰𝗵𝗮𝗿𝘁𝘀. Rather than showing everything in a single chart (which can easily send discussions off track), I basically 𝗲𝘅𝗽𝗹𝗼𝗱𝗲 only the key segments, while still keeping the big picture intact. It’s a really simple way to maintain focus without losing depth and in my experience, it works quite well. A nice mix balance of 𝗿𝗲𝘀𝘁𝗿𝗮𝗶𝗻𝘁 & 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 at the same time. Give it a try guys, you might find it surprisingly effective.
Salma Sultana commented on a post
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Piling up dashboards is definitely a problem because more of it doesn't necessarily mean more productivity. Interestingly though, I’ve also seen the other side of it in corporate - sometimes it’s about ego. Departments simply want their own dashboards, tools, and reporting stacks so they don’t "appear" less data-driven than other departments, even though adoption might be low and the insights maybe shallow. Sometimes management needs a good reminder that analytics is a decision making function, not a content making factory.
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This is so cool that you got to visit their facility. I think I might've seen them on TV. Who ever knew leafy greens and AI could ever have a future together.
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This is such a great initiative Olga. Progressive learning is such a good way to keep employees growing. It's really unfortunate though, that most companies end up budgeting for less important stuff, while employee training rarely ever gets the priority it deserves.
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Salma Sultana liked thisSalma Sultana liked thisDisney characters are now a clinical asset — Philips just made them exclusive to its MRI suites in 87 countries. Today's top stories in medical imaging: 🟡 Philips and Disney ink exclusive MRI Ambient Experience deal across 87 countries ⚪ MedCity argues patient comprehension is radiology AI's next layer 🔵 Multisite brain imaging study finds ethnoracial gaps in Alzheimer's pathology detection Full briefing in today's issue of Imaging Intelligence Daily. 📖 Read today's issue → https://lnkd.in/eG9hjZSx 🔔 Subscribe free → https://bit.ly/3N8mUqE #MedicalImaging #HealthcareAI #Radiology #Ultrasound #MedTech
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Salma Sultana liked thisSalma Sultana liked thisYour analytics team is busy every single day. But nothing strategic ever gets done. Sound familiar? "Need this dashboard by EOD." "Can you pull this real quick?" "Quick update for the meeting." "Actually, one more change." Urgent. Urgent. Urgent. And the important work? Prioritizing the right opportunities. Influencing key decisions. Driving strategic impact. Covered in cobwebs. Always delayed. Never touched. That's the urgency trap. Reactive work feels productive. It never ends. And it never moves the business forward. How to break out of it: 1. Prioritize together. Not everything is a priority. Make trade-offs visible. With your stakeholders. Not in your head. 2. Protect strategic time. Block it. Name it. Defend it. If it's not in the calendar it doesn't exist. 3. Set explicit expectations. "We can do this, but here's what we deprioritize." Make the cost of urgency visible every time. 4. Measure impact. Not output. Stop counting requests delivered. Start tracking decisions influenced. Urgency will always feel important. Impact is what actually matters. 👉 For more insights on building high-impact Data Teams, follow Gilbert Eijkelenboom.
Experience & Education
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Corporate Recognition Award
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Corporate Recognition Award
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Corporate Recognition Award
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Corporate Recognition Award
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Corporate Recognition Award
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Corporate Recognition Award
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Corporate Recognition Award
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Corporate Recognition Award
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Corporate Recognition Award
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Graduated with 'Magna Cum Laude' distinction
Southern New Hampshire University
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Maintained a *President’s List* distinction for the entire 4 years of Bachelors degree program
Southern New Hampshire University
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