#analytics

Amazing career. Built fds entire analytics business. Quite a legacy.

Ive seen quite a few positions pop-up. Is it stressful?

Citi tampa analytics and data science teams keeps promoting only H1B folks and stalls American workers and permanent residents. Hope the America first movement move to CITI Tampa as well.

I have been advised to no longer sign on in the evening to finish tasks as it will log the the time from when I leave the office to when I log in at home as "locked time". Absurd!

Verizon is currently conducting time and motion studies:

1. The Core Concept
   A "Time and Motion" study is a method used to determine the "standard time" it should take to complete a specific task.

Time Study: Measuring how long a technician takes to complete an install or repair (e.g., "30 minutes for a router setup").

Motion Study: Analyzing the steps or movements involved to find the most efficient way to do the work with the least amount of wasted effort.

1. Modern Application: Verizon Connect
   In 2026, Verizon doesn't just use stopwatches; they use AI-driven software. Their "Time and Motion" data is captured through:

GPS & Telematics: Tracking "dwell time" (how long a van is parked at a customer’s house) to see if the work matches the scheduled duration.

Planned vs. Actual (PVA) Reporting: Comparing how long a job should have taken versus how long it actually took.

Breadcrumb Trails: Seeing the physical route and movements of a technician to eliminate "dead miles" or inefficient routing.

1. Why Verizon Uses It
   Verizon uses this data for three main reasons:

Labor Standards: Setting realistic quotas for technicians so they aren't overworked, but also aren't idle.

Customer ETAs: Providing you with a "the tech will be there between 1:00 and 3:00" window based on real-time data of how long previous jobs are taking that day.

Cost Reduction: Identifying where time is being wasted—such as a technician having to return to the warehouse because they didn't have a specific part (a "motion" error).

1. Technician Perspective
   If you are a Verizon employee, "Time and Motion" is often the metric used to evaluate your productivity. It measures your "wrench time" (actual work) versus your travel time and breaks. High-performing techs are those whose "actual" times consistently align with the "standard" times determined by these studies.

Just heard they're moving the BG analyst teams to CODA.

Anyone know what the plan is?

Ok all of my other theories have been wrong but hear me out. The March C14 -C16 cuts didn't really happen in risk/analytics/strategy/mis. It's beginning to look like AI is not going to replace 60 - 70% of analytic functions, its going to be closer to 90%+. I think these 2 things are related. The C14+ were retained to facilitate major C12 & C13 reductions.

What are your thoughts about workplace technology analytics being rolled out? What is that?

About 25 years ago Advanced Analytics was created. What’s next after the AA reorg? Just Analytics?

I’m curious about these numbers that are shared during the analyst meetings etc. Is there any breakbown of the number or percentages,of existing clients moving to the cloud, and net new clients signing contracts? That would really provide a health check. Is SAP merely cannibalizing the client base, or is there a reasonable amount of net new clients coming in?

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

Most of what I’ve heard and read points to areas such as sales, marketing, operations, etc being impacted. How about analytics?

Most of what I’ve heard and read points to areas such as sales, marketing, operations, etc being impacted. How about analytics?

Exactly one year to the day that I was laid off, many more followed in the Pest and BI/AI/Analytics teams this same day.

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.

Announced today, analytics/reporting staff to be rebadged to Certilytics. No numbers given. Also seems like a prelude to more outsourcing in the future.

Under Corporate risk - Credit Risk - Risk modeling.

Massive cut yesterday.

Most of these guys are Quants making over $250K

The rumor is lots of Quants and risk analytics in corporate risk are in the chopping block early next year

long story short my manager said cuts are coming really soon to analytics and other divisions.my sisters 23 has been applying everywhere since she graduated and has not gotten anything, im so fu--ing scared since this is my only big boy job.How are yall searching??

"That 25% of non-core business, including SMB and consumer cybersecurity, DevOps, and analytics, is going to be a hole worth almost $1.3 billion to fill however, so the shrink to grow strategy better work, and the new CEO may need some patience given to them."

https://www.iteuropa.com/news/opentext-shrink-grow-strategy-may-mean-it-has-13bn-sales-hole

USPB is no more. Decisions will be made over next 6 weeks how to align the former USPB functions (Analytics, Risk, COO, and Client Experience) into Cards and Wealth. There will undoubtedly be layoffs in 1Q26 for these groups impacted. I’m sure redundancies will also occur in Cards and Wealth for the incoming people as well.

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.

Is anyone else experiencing massive data and reporting issues for their LOB? An example would be incorrect regulatory reporting sent externally. It feels like the shift higher up to push for automation and restructure is placing health plans at compliance risk. Are we just going all in here despite legal, regulatory, and future RFP risk? This seems obvious as I'm typing, but more curious if others are seeing this.

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.

Open Text (NASDAQ:OTEX) announced on Thursday that it has reached a definitive agreement to divest an on-premise solution (eDOCS), a part of its Analytics portfolio, to NetDocuments, for US$163 million in cash.
The business to be divested is part of OpenText's Analytics product group and contributed approximately $30 million in annual revenue in OpenText's fiscal year ended June 30, 2025.

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?

Talking about Oracle Analytics

The benefits of AI in ranking employee performance include:

(1) Objectivity: AI analyzes performance data based on impartial metrics, minimizing bias and ensuring fairness in evaluations.

(2) Enhanced Feedback: AI provides continuous real-time feedback, helping employees improve while they work.

(3) Efficiency: AI automates administrative tasks, saving managers time and allowing them to focus on strategic tasks.

(4) Predictive Analytics: AI can analyze historical data to predict performance trends, aiding in talent acquisition and management.

(5) Personalized Insights: AI tools can offer tailored feedback and development paths based on individual performance data, fostering a more personalized experience for employees.

Does anyone know what's the scene for Lay offs in Oracle Cloud Analytics team in Pleasanton ? Is that happening ?

I guess we just didn’t read between the lines in this January 2023 article about all the jobs headed down to Heredia CR. HR, Product, Analytics, Neustar, etc. I think Experian and Equifax are also in Heredia. Sounds like quite a CRA bash down there after these bureaus are done with us.

https://www.cinde.org/en/essential-news/transunion-establishes-costa-rica-global-capability-center-creating-100s-of-jobs-across-technology-disciplines

“ Off-cycle salary adjustments are salary changes done in Oracle Fusion Cloud HCM using any actions, except Allocate Workforce Compensation. With #Oracle Fusion #HCM #Analytics, you can plot the current year’s off-cycle salary adjustments including early trends, list the most common reasons leading to such off-cycle salary adjustments and also identify business units that are contributing to such adjustments. https://social.ora.cl/6189PJMCT “

Discover more out about your bonus/raise?