#data

What happens to the RPO?

Oracle, OpenAi end plan to expand flagship data centre https://share.google/vPxXdg2sYqSgOo5bt

Net Adds will happen

Several account reps let go today, official last day is tomorrow but already offline and gone. US Data Platform Team.

Rebadging to Abacus before Mar 31… from Data/interfaces IP org under Tanmoy now…let the horror show begin!

Now this? Who’s in charge of Nike’s Cyber Security??

Nike Data Breach Under Investigation as WorldLeaks Claims 1.4TB Theft

https://sentrybay.com/nike-data-breach-investigation/

That's more than the yearly combined cost of Amazon employees and about 35% of the asset top 10 banks. Bad math, Jassy!

Top 10 American Banks by Asset Size:

JPMorgan Chase & Co.: $3.6T
Bank of America: $2.6T
Citigroup / Citibank: $1.8T
Wells Fargo: $1.7T
U.S. Bank: $680B
Capital One: $652B
Goldman Sachs: $644B
PNC Bank: $563B
Truist Bank: $535B

Someone mentioned a few days ago about being able to see site visit data in splunk. Anyone know how that is done? What splunk is that? What's the index?

Interesting post from analyst Roger Entner

https://www.linkedin.com/posts/rogerentner_telecom-industryinsights-dataanalytics-activity-7424089431696949249-7h7i

Montana saw a drop in initial unemployment claims last week. The U.S. Department of Labor released this data. Claims fell to 929 for the week ending January 24. This number was down from 1,059 the prior week. National unemployment claims also decreased slightly.

https://www.greatfallstribune.com/story/news/2026/01/31/unemployment-numbers/88413498007/

Say some posts on linkedin with Data Scientists at CVS saying their role is eliminated.

What’s going on and is about to happen?

Literally, 400-500 people report into her/her directs. Some of her direct D's have 40-50 people by themselves. What exactly is she delivering for Citi? DCRM? That's a joke - the data concerns are not resolved by her team. Her data concern team, led by her MD Donna G, are glorified p;roject managers setting up meetings for others to resolve the problems. Why do they need so many people? Reference data? That by itself is a joke at Citi considering that security master central itself has so many issues with data accuracy. At smaller firms, her team alone would make up 50% of the org. This is highway robbery.

I see small and large startups kicking Intel’s a-s on all fronts. Unless we have a better way to compute that doesn’t include X86 it’s over.

Just in case my matters to you, Truist is working with Palantir. Do with that what you will 🤷🏻‍♀️

If so, which team within the EDO?

I don’t know if I’m gonna last much longer. As a top performing MAE, this new comp plan was rolled out so poorly. On top of all that, the data is beyond dirty.
I have so many accounts that should belong to Micro that roll to me (Duns even says 3 employees on SF record) Accounts that should roll to me that meet my headcount…going to Micro. I have other accounts HQ in completely different cities. One account I had a proposal out to last month is now assigned to Micro.
What in the actual F is going on. Several peers in other markets are just as upset,
Surely this cannot be planned attrition done covertly.
Thoughts?

Wonder if anyone else noticed the VRP related dates there?

Ratings across 158 TV networks are down this year by an average of 18% to 30% under Nielsen’s new Big Data + Panel measurement, the Video Advertising Bureau (VAB) told The Current.

The declines in the highly prized 25 to 54 demographic — now at levels not seen in 23 years when compared with panel-only measurement — break down three ways: an 18% drop overall, a 23% decline for cable networks and 30% plunge when news and sports programming are excluded.

VAB President Sean Cunningham said the organization began uncovering these issues in late October after digging into the data. He added that Big Data + Panel shows unusually high variance, overreporting or underreporting ratings by roughly 20%. Some networks, he said, are experiencing statistical aberrations across as much as 60% of all viewing hours.

This misreporting — especially for the valuable 25 to 54 demo — has major implications for both buy and sell sides. Incomplete, unstable measurement suppresses CPMs for publishers, draining ad revenue for the already shrinking traditional TV ecosystem. On the buy side, agencies struggle to plan, forecast or trust audience guarantees.

“There is an enormous structural defect sitting in the trading currency where the 25 to 54 demographic has been systemically crushed by all of the biases inside of the way Nielsen’s calculating Big Data + Panel,” Cunningham told The Current.

When asked to comment, Nielsen responded: “This report is seriously flawed and manipulated. From what we have seen, the VAB incorrectly pulled our data and the bureau does not know how to do a proper ratings analysis. The VAB is wasting the time and money of its members."

A source close to one of the TV networks contacted by The Current added: "We went into Nielsen Big Data + Panel knowing that there could be challenges, which is why we’ve evaluated it closely from the start. As we’ve continued working with the data, and after reviewing the VAB report, we’re seeing additional discrepancies that deserve a closer look."

Cunningham said the VAB stepped in only after publishers exhausted all options trying to work with Nielsen, efforts that led to frustration over what he described as “layer upon layer of voodoo math” embedded in Nielsen’s methodology.

He believes Nielsen is weighing its 43,000-person panel too heavily, allowing it to dominate signals compared to its 45 million big data sources. He argues this leads to an oversaturation of viewers aged 55 and over in the reported ratings.

The U.S. consumer knows that prices for goods, and services; (Increased).

For those that are (not) aware the U.S. Government is (only) funded through January 30th of 2026.

Core CPI Inflation data was (Never) collected in (Total) for October 2025.

November CPI is wrong.

Inflation (Actually) rose.

I'm long gone from Nielsen but did enjoy my two decades there as I worked with some great people over the years (and some not so much...lol). The ONE THING I DON'T miss is this!!! As a client facing exec, having to get up every day and defend methodolgy and data was mind numbing...especially when you knew what you were defending was likely garbage. But hey, that's what we got paid to do. Nielsen was quite often literally a thankless job, and the stress could take years off your life. Glad I got out when I did.

https://www.thecurrent.com/tv-networks-historic-ratings-drops-nielsen-big-data-panel-vab-reports

Time to let JG go. Data Center deal is dying.

Here are some rough numbers pulled from the WARN Tracker website. This shows the number of rounds of layoff occurrences for each year. For example, employees were laid off during 24 instances of layoffs in 2025. Sobering numbers to say the least!:

2026 - 1 (notice went out 11/4)
2025 - 24
2024 – 12
2023 – 16
2022 – 9
2021 – 22
2020 – 3
2019 – 7
2018 – 14
2017 – 5
2016 – 4
2015 – 1
2014 – 0
2013 – 3
2012 – 0
2011 – 10
2010 – 3
2009 – 1
2008 – 1
2007 – 1

There were more layoffs in the Data and AI org today. Lots of VPs and product team members were affected.

Yo, the whole trusted gang is low-key grindin’ on exit plans outta Cisco. Secret TOIs poppin’ off in back rooms, and some folks gettin’ straight ghosted from the AI knowledge drops. With all this shady energy, fr fr, how’s Cisco even supposed to Arista?”

If you want it even more dramatic, more corporate-snarky, or more street-slang, tell me the vibe and I’ll tune it.

Need leadership change

... Will be the punchline for this fuggin' bubble.

LMAO!!!

Let’s share actual DATA (no spamming) so it helps all of us!
Use the following template to report any company wide layoffs-
Office location-division- number of people- roles- onsite/remote/hybrid

No spamming pls🙏

As interfaces move to AI platforms, I was trying to figure out which market data providers have the most proprietary value. I think this may be part of the challenge they are facing.

MSCI = Benchmark/risk models
LSEG = Exchange, RT
S&P = Ratings, Benchmark
Moodys = ratings
Morningtar = stars
BBG = FI content
FactSet = cusip

Besides cusip, is there a proprietary data/analytics set that Factset provides in this new world.

https://www.datawrapper.de/_/gAWmw/

There is a new program across T&S call PDS. Anyone heard about it? They call themselves data leads and AI experts what is far from the truth. IDT said they will not survive 2026 but who knows.

Use employee look-up like normally would, doesn't matter who

When results open select Detailed search. For Country use USA, then IND, then I think it was PHL

Will give you count for each country code.

I am trying to find my numbers from 2019.

Was chatting with some guys from another company, and this is the deal: Oracle is data-starved. It doesn't hoard any data. They're just a database/infra, not a data goldmine like Amazon, Meta, Google, Apple or LinkedIn.

Our engineering needs are simple: basic text analysis for infra. We aren't running anything complex. The algorithms are straightforward, and any future coding is so basic, it's easily handled by LLMs and junior employees.

You can get by with Oracle for now, but long-term? You've already lost the race.
Oracle doesn't need you anymore. And you shouldn't rely on Oracle anymore.

My understanding is there are two Reports
1) Days in office - Badge swipes.
-some buildings do not have a building exit point.

 - Badge point is not sopisticated enough to log a time, only date? 
    Why is it nessisary for them to sift through thousands of IPs/machine names to   determine 'time in office'?  previously they were only checking for where an emplyess was logged in if they wanted to scrutinize the emploee.

2) Hours in office - network IP and user login

• many emplyees share a computer. one user could be logged in over night.
  • Considering that may employees share a computer the logged in user or lan id needs to be determined. How is that being done? Probaby by the spyware.

I belive two major flaws exist:
They are sitting on a metric ton of data.
No way to pull meaning reports due to inaccurant data.

So many flaws in these reporting methods. It almost begs to gamed.

Hiiii everyone! I am seeing a lot of negative comments about their managers and their customer service and such, I wonder if anyone has ever worked on the corp side? Like the workforce management/Data Analyst side? I am not see any complaints about those roles and I am looking to set up an interview in the next few days, so I want to be prepared.

Just look at the sheer volume of IT GR10s + with their report or dashboard’s broken with bad data asking some poor Engineer about their wrong data. What a waste of time. Why are these people employed? LBT fixed nothing

People leave managers due to their behavior politics and secret meetings with trusted people

Teradata’s still a beast in the data world we're decades in and still running some of the biggest workloads out there. Shifting from an appliance based company to a Cloud, hybrid, real-time analytics, we can't stop winning. The direction of vantage is strong

And about the chatter this week yeah, there are some cuts, but it’s mostly performance trimming, the kind of thing every big tech shop does. Look at Google, Meta, Amazon, and even Qualcomm. We can support our laid off coworkers and still appreciate what we have here. Teradata skills are transferrable anywhere. The core product teams surrounding vantage aren’t going anywhere, and the tech is as strong as ever.

Teradata isn’t slowing down. The platform is rock solid, and that’s why the biggest players keep trusting it!

Anyone here attended it? Was it any good? Anything important discussed?

Data the Oracle OWBPA (Older Workers Benefit Protection Act) disclosure reveals a steep increase in the layoff rate beginning at age 60 in the DB group. Here are the percentage of people laid off by age group.

Age Band Pct Laid Off
20-24 4%
25-29 10%
30-34 6%
35-39 11%
40-44 8%
45-49 9%
50-54 10%
55-59 10%
60-64 21%
65-69 26%
70-74 34%

There have been hardly any senior or lead positions open in the data space. Even if something is posted, looks like they are mostly labor filing related openings and you get a response back that you do not meet the expectations. No calls no nothing but just a rejection. This all seems to be internal referrals and 3P conversions or referrals taking up the roles or is it true that there is no need for data related roles at USAA. What's the deal?

Been away from $hitty bank for over a year now. Someone please update me on data improvement. Are we fixing issues and in the right direction or taken a step back for a decade.

I don't hear much about "Big Data" anymore. Was it a fad? Did brute force processing of big data prove unnecessary? Did business choose and anoint a particular vendor's product or has brute force been replaced by AI?

Viya was originally about massively parallel processing but has the market settled on a solution to that kind of data processing or moved beyond that idea? Technically superior products don't necessarily succeed if others are faster to market or market conditions change, right? What has happened?