Most data problems aren't technical. They're human.
I'm Dr Shorful Islam — psychologist turned data leader. Over 25 years I've built and led data teams at organisations like Shell, the NHS, ITV, and Coca-Cola. I've written a book on data culture (published by Kogan Page). And I've learned that the biggest obstacle to becoming a data-driven organisation is almost never the technology.
On this channel I explore the human side of data: why data initiatives fail, how to build a data culture that actually sticks, what it really takes to lead a data team, and how to build a career in data that lasts.
If you're a data leader, an aspiring CDO, or someone trying to make sense of data and AI in your organisation — this channel is for you.
New videos every week. Subscribe so you don't miss them.
📘 My book: amzn.to/3ywnlU2
🌐 Be Data Solutions: bedatasolutions.com
📬 The Data Culture Letter (Substack): substack.com/@shorful
Shorful
https://youtu.be/ZjGTSD-jSyI
2 months ago | [YT] | 0
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Shorful
9 months ago | [YT] | 3
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Shorful
1 year ago | [YT] | 1
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Shorful
We lost a great hire—before they even started.
We offered a senior data analyst role to someone incredibly qualified.
They impressed us during the interviews, accepted the offer without hesitation, and signed the contract promptly.
Then, on the very morning they were supposed to start—after a two-month notice period—they messaged to say they'd taken another role.
We were surprised. Frustrated. A little heartbroken, if I’m honest.
But looking back, we realised something important:
- From the moment they signed the contract, we didn’t reach out.
- Not once.
- No “how are you doing?”
- No welcome call.
- No effort to build a connection before day one.
So, when it came down to it, we weren’t the opportunity. We were just an option.
Lesson learned: onboarding starts well before the first day.
Connection matters. Culture matters. Relationships matter.
If you’re hiring, don’t just close the candidate—keep them close.
To fix these, grab a copy of my 6-day Data Hiring Fix Blueprint!
Here's the link: betterdatahires.com/
1 year ago | [YT] | 7
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Shorful
Are you building a data product and wondering if it’s scalable? 🤔
The key question every founder needs to ask is: Is it repeatable?
1 year ago | [YT] | 2
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Shorful
"If you just repeat what you do, then AI can do what you do."
Watch out for my latest video on the limitations of AI and its strengths.
1 year ago | [YT] | 3
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Shorful
Just asking for a job is not enough.
Convince me why I should hire you.
Once, with a shortage of data talent, I found myself happy to interview anyone (with the just enough skills, knowledge, experience) to do the job.
Now, with more talent going after fewer roles, an email or message asking for a job doesn't work.
I've spoken with many colleagues who say the same thing. Prospective emails just asking for a job, get ignored.
However, those that describe what makes them suitable for the role, how their skills, experience or knowledge aligns to what the organisation may need and providing context as to why they sent the email are more likely to be read and responded to.
So, don't just email or message hiring managers asking for a job. Put some context and relevance in your message and you are more likely to get a response.
1 year ago | [YT] | 5
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Shorful
Breaking into data science is only going to get harder with low code and AI augmented tools.
If you want to become a data scientist, develop your critical thinking and problem-solving skills and then be able to design experiments or tests to prove what works or doesn't work.
Just running standard models using python packages is no longer enough.
1 year ago | [YT] | 9
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Shorful
There are many reasons why companies hire data analytics agencies.
These include,
Lack of specific skills | Limited capacity | Unwanted tasks | Need for objectivity | Unawareness of in-house team | Executive preference | Reputation of the agency | Cost efficiency | Failed in-house team building
1 year ago | [YT] | 8
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Shorful
A mentor will not do your work for you.
I really enjoy mentoring people, both in the data and even non-data space.
But once in a while I get someone who will expect me to do their work for them.
A recent example was someone expecting me to rewrite their CV and then send it off to my network, expecting me to research if they had any suitable opportunities.
Dear prospctive mentee's if you do find a good mentor, know that they are there to help and advise, not to do your work for you.
1 year ago | [YT] | 3
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