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silo_lens.base.eth

@SiloLens

Data Analyst | AI Prompt Engr | Excel | PowerBI |Python | SQL | Crypto Enthusiast | Community Manager.

Katılım Temmuz 2023
2.9K Takip Edilen568 Takipçiler
Charles | Data Analyst
Charles | Data Analyst@CasmirCodesData·
@SiloLens That’s were the customer satisfactory rate comes in… this is a highlight to my analysis didn’t put all out here …..
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Charles | Data Analyst
Charles | Data Analyst@CasmirCodesData·
Numbers lied 42M in Revenue ❌ 29M in Revenue ✅ A clothing business recorded two years of sales data across 2023 and 2024. On the surface, the numbers looked promising 500 orders placed, products moving, customers buying. So when management sat down to review performance, they expected the revenue figure to reflect that activity. They expected a number that matched the energy of 500 orders. What they got instead was confusion. The revenue was lower than anticipated, and nobody could explain why. They had sold more or at least it felt that way but the money did not add up. The business was making decisions based on total order volume without understanding that a significant portion of those orders never actually converted into real income. Returned goods were quietly eroding revenue. Cancelled orders were inflating their order count without contributing a single naira. Pending transactions were sitting unresolved, neither confirmed nor lost. And nobody was separating these outcomes from the genuine completed sales. The numbers were not wrong. They were just being read without context. That is where the data analyst came in not just to organise the data, but to translate it. To answer the question the business had been asking without realising it: we sold a lot, so where is the money? Here’s what the data actually showed: → Real revenue: ₦29.4M from completed orders only → Denim Jacket was the #1 product in both sales and revenue → Outerwear alone generated ₦12.1M → Abuja was the strongest city at ₦7.3M → 40% of sales came from online → 90% of 341 customers never came back → 2024 made more money without selling more that’s the smart pricing strategy. Here’s what I told them to fix: 1. Find out WHY customers are returning goods ₦3.4M is recoverable 2. Follow up on 54 pending orders before they become cancellations 3. Build a retention system losing 90% of customers after one purchase is a leaking bucket 4. Push harder online lowest cost, highest return channel 5. Never let the Denim Jacket go out of stock The numbers were never the problem. Reading them without context was. What other insight or recommendations can you make out of this?
Charles | Data Analyst tweet media
Charles | Data Analyst@CasmirCodesData

Wrapped up, will be sharing in few minutes.

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silo_lens.base.eth
silo_lens.base.eth@SiloLens·
@DorcasAkins0 Nice job there Dorcas. Have saved this, I'll replicate it and when I'm done I'll tagged you to it.
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silo_lens.base.eth retweetledi
Remote AI
Remote AI@remoteaixyz·
Remote AI is building autonomous agents to optimize token launches by bridging liquidity markets in real time. Exclusively built on @base Your past Base network activity now earns RA points — redeemable for $RA 👀 Check yours: theremoteai.xyz
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silo_lens.base.eth retweetledi
RAW CUTS
RAW CUTS@RawCutsETH·
The studio is finally open. ✂️ The RAW CUTS waitlist is officially live. Full FREE MINT. No fluff, just the vision. Apply here: rawcutseth.xyz Spots is extremely limited don't sleep on this.
RAW CUTS tweet media
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Annie🦋
Annie🦋@DabereNnamani·
You might be building projects… but they may not be helping you get hired. Many aspiring data analysts complete courses, build dashboards, and even upload projects to GitHub, yet still struggle to land interviews. The issue usually isn’t effort.
It’s project relevance and presentation. Most portfolios: •Don’t reflect real business problems •Lack clear insights and impact •Feel more like practice tasks than actual analyst work. I’ve put together a list of real-world, portfolio-ready data analytics projects designed to mirror what companies actually expect from entry-level analysts. If you’d like access:
Connect with me and Comment “PROJECTS” turn on Post Notification.
Annie🦋 tweet media
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JAY4SURVEYS
JAY4SURVEYS@jay4surveys·
If you are an African and can be up by midnight 12am GMT+1, this company i just found is willing to pay you $1500 monthly. I spent the weekend looking for companies that need international participants to answer questions for them and i found this one that's really interesting. You get paid to answer questions for the company for approximately 20 minutes daily and in return, you'll be given $1500 at the end of the month. If this is something you can do; rt and let me know below 700 participants are urgently needed (NB: Must be following)
𝔻𝕒𝕟.@fwdaniels

there is insane money online dawg, find who will put you on & lock in

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Udeme Okono
Udeme Okono@UdemeOkono·
@SiloLens Omor, Peter want cause wetin go make me graduate without certificate 🤣
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Udeme Okono
Udeme Okono@UdemeOkono·
LinkedIn is not a real place. So, my Data Analysis instructor made a funny comment about wanting to learn from me on my post and I typed, “Comrade, no be so o” then I immediately remembered that we’re supposed to be composed out there 😂 I’m now thinking of how to say “Comrade, no be so o” in plain English 😂😂😂
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