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Hi Sharks, Off topic question. How long does HSBC take to schedule psychometric test. I attended managerial round on 10th aug and person who referred me confirmed that I cleared managerial round. I recently joined IBM and waiting for the project. In April I applied for an position but no test or interview was scheduled and recruiter asked me to give other email id as my application was already present in HSBC portal. HSBC India IBM Tata Consultancy Deloitte Accenture Cognizant Infosys
First Accenture interview tomorrow.
Can any current Accenture employer please share how they’d answer “Why Accenture?”
I want to incorporate any regularly used internal mantras, verbiage, or vernacular into my answer.
ie: “emphasis on creating value and shared success for clients”, innovators /innovative
Thank you in advance!
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Boston vs NYC?
I’m a simple guy. I see Mc🐝. I upvote.
That Friday feeling

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Has anyone else begun to resent data science?
Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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Just keep asking about where their data live.
“data? Where housing?”
Forklifts everywhere. Tall about forklift non stop
Pro tip it’s call a data pallet jack (DPJ) for short; some cos call it it a server jack as well.
Oh man... you is fucked!
Joking aside.... as a PM (I am assuming a traditional PM and not a technical PM).... you do not need to know the whole DW lifecycle bullshit (Kimball or the garbage Snowflake shit). The key things to keep in mind for DW or EDW are at a high level:1) sourcea and velocity (realtime or timed updates [batch]), 2) transformations (what doea the business need from the source to make decisions - this informs which source actually meets the bill), 3) how to make the data , at thw dw, sensible (are all elements available?, have the time lines been met [this is important for the different LOBs - finance needs realtime, CxO just montly and aggregated, line mgrs need exexution times ans so on). From a PM perspective you only need highlevel but still need a little nuance from the LOB level
Thank you! This is super helpful. I have a little experience implementing SAP BW and am trying to refresh my memory from that project, but this is great stuff as I prepare :)
Fact & Dimension modeling using Star/Snowflake Schema
Slowly Changing Dimensions
Data Marts
It might help to understand on a high level the product offering of the popular DW & ETL tools in the market
Kimble has great book!! But honestly, just talk about forklifts and you’ll be fine.