I absolutely HATE "web developers" who call you in to fix their FooBar'd mess, yet can't stop themselves from dictating what you should and shouldn't do, especially when they have no idea what they're doing.

So I get called in to a job improving the performance of a Magento site (and let's just say I have no love for Magento for a number of reasons) because this "developer" enabled Redis and expected everything to be lightning fast. Maybe he thought "Redis" was the name of a magical sorcerer living in the server. A master conjurer capable of weaving mystical time-altering spells to inexplicably improve the performance. Who knows?

This guy claims he spent "months" trying to figure out why the website couldn't load faster than 7 seconds at best, and his employer is demanding a resolution so he stops losing conversions. I usually try to avoid Magento because of all the headaches that come with it, but I figured "sure, why not?" I mean, he built the website less than a year ago, so how bad can it really be? Well...let's see how fast you all can facepalm:

1.) The website was built brand new on Magento 1.9.2.4...what? I mean, if this were built a few years back, that would be a different story, but building a fresh Magento website in 2017 in 1.x? I asked him why he did that...his answer absolutely floored me: "because PHP 5.5 was the best choice at the time for speed and performance..." What?!

2.) The ONLY optimization done on the website was Redis cache being enabled. No merged CSS/JS, no use of a CDN, no image optimization, no gzip, no expires rules. Just Redis...

3.) Now to say the website was poorly coded was an understatement. This wasn't the worst coding I've seen, but it was far from acceptable. There was no organization whatsoever. Templates and skin assets are being called from across 12 different locations on the server, making tracking down and finding a snippet to fix downright annoying.

But not only that, the home page itself had 83 custom database queries to load the products on the page. He said this was so he could load products from several different categories and custom tables to show on the page. I asked him why he didn't just call a few join queries, and he had no idea what I was talking about.

4.) Almost every image on the website was a .PNG file, 2000x2000 px and lossless. The home page alone was 22MB just from images.

There were several other issues, but those 4 should be enough to paint a good picture. The client wanted this all done in a week for less than $500. We laughed. But we agreed on the price only because of a long relationship and because they have some referrals they got us in the door with. But we told them it would get done on our time, not theirs. So I copied the website to our server as a test bed and got to work.

After numerous hours of bug fixes, recoding queries, disabling Redis and opting for higher innodb cache (more on that later), image optimization, js/css/html combining, render-unblocking and minification, lazyloading images tweaking Magento to work with PHP7, installing OpCache and setting up basic htaccess optimizations, we smash the loading time down to 1.2 seconds total, and most of that time was for external JavaScript plugins deemed "necessary". Time to First Byte went from a staggering 2.2 seconds to about 45ms. Needless to say, we kicked its ass.

So I show their developer the changes and he's stunned. He says he'll tell the hosting provider create a new server set up to migrate the optimized site over and cut over to, because taking the live website down for maintenance for even an hour or two in the middle of the night is "unacceptable".

So trying to be cool about it, I tell him I'd be happy to configure the server to the exact specifications needed. He says "we can't do that". I look at him confused. "What do you mean we 'can't'?" He tells me that even though this is a dedicated server, the provider doesn't allow any access other than a jailed shell account and cPanel access. What?! This is a company averaging 3 million+ per year in revenue. Why don't they have an IT manager overseeing everything? Apparently for them, they're too cheap for that, so they went with a "managed dedicated server", "managed" apparently meaning "you only get to use it like a shared host".

So after countless phone calls arguing with the hosting provider, they agree to make our changes. Then the client's developer starts getting nasty out of nowhere. He says my optimizations are not acceptable because I'm not using Redis cache, and now the client is threatening to walk away without paying us.

So I guess the overall message from this rant is not so much about the situation, but the developer and countless others like him that are clueless, but try to speak from a position of authority.

If we as developers don't stop challenging each other in a measuring contest and learn to let go when we need help, we can get a lot more done and prevent losing clients. </rant>

I tried DuckDuckGo like two years ago and my opinion was “meh, I don’t like the results”.

Yesterday @Root made it clear that the sole amount of data collected changes the whole perspective of tracking.

I went to shower thinking about that and as I was standing there enjoying warm water...

It hit me.

I liked google results and disliked DDG not because DDG was worse.

I liked google results because they were CRAFTED for ME to LIKE them. They exploited my confirmation bias, the strongest of all biases.

I took my other phone which is android, has a different sim that isn’t tied to my identity (don’t ask, this is Russia), was never connected to my WiFi and of course has no google account tied to it.

I tried googling stuff.

The results was just like what DDG gets you, the only difference was google amp were on top.

The fuck. One of the wokest moments ever.

My code review nightmare part 3

Performed a review on/against a workplace 'nemesis'. I didn't follow the department standards document (cause I could care less about spacing, sorted usings, etc) and identified over 80 bugs, logic errors, n+1 patterns, memory leaks (yes, even in .net devs can cause em'), and general bad behavior (ex.'eating' exceptions that should be handled or at least logged)

Because 'Jeff' was considered a golden child (that's another long TL;DR), his boss and others took a major offense and demanded I justify my review, item by item.

About 2 hours into the meeting, our department mgr realized embarrassing Jeff any further wasn't doing anyone any good and decided to take matters into his own hands. Thinking 'well, its about time he did his job', I go back to my desk. About an hour later..
Mgr: "I need you in the conference room, RIGHT NOW!"
<oh crap>
Mgr: "I spoke to Jeff and I think I know what the problem is. Did you ever train him on any of the problems you identified in the review?"
Me: "Um, no. Why would I?"
Mgr: "Ha!..I was right. So lets agree the problems are partially your fault, OK?"
Me: "Finding the bugs in his code is somehow my fault?"
Mgr: "Yes! For example, the n+1 problem in using the WCF service, you never trained him on how to use the service. You wrote the service, correct?"
Me: "Yes, but it's not my job to teach him how to write C#. I documented the process and have examples in the document to avoid n+1. All he had to do was copy/paste."
Mgr: "But you never sat with Jeff and talked to him like a human being? You sit over there in your silo and are oblivious to the problems you cause. This ends today!"
Me: "What the...I have no idea what you are talking about. What in the world did Jeff tell you?"
Mgr: "He told me enough and I'm putting an end to it. I want a compressive training class developed on how to use your service. I'll give you a month to get your act together and properly train these developers."

3 days later, I submit the power-point presentation and accompanying docs. It was only one WCF with a handful of methods. Mgr approved the training, etc..etc. execute the 'training', and Jeff submits a code review a couple of weeks later. From over 80 issues to around 50. The poop hits the fan again.

Mgr: "What's your problem? When are you going to take your responsibility seriously?"
Me: "Its pretty clear I don't have the problem. All the review items were also verified by other devs. Its not me trying to be an asshole."
Mgr: "Enough with the excuses. If you think you can do a better job *you* make the code changes and submit them for Jeff for review. No More Excuses!"

Couple of days later, I make the changes, submit them for review, and Jeff really couldn't say too much other than "I don't see this as an improvement"

TL;DR, I had been tracking the errors generated by the site due to the bugs prior to my changes. After deployment, # of errors went from thousands per hour to maybe hundreds per day (that's another story) and the site saw significant performance increases, fewer customer complaints, etc..etc.

At a company event, the department VP hands out special recognition awards:

VP: "This award is especially well earned. Not only does this individual exemplify the company's focus on teamwork, he also went above and beyond the call of duty to serve our customers. Jeff, come on up and get this well deserved award."

I'm such an idiot!

For a while now, my machine has been kinda sluggish.

Just installed VSCode and a little popup saying that git was tracking too many changes in my home directory. I must've ran `git init` at some point and it's spent fucking forever tracking changes of >3,000 files.

`rm -rf .git/`

Quick. As. Fuck.

I think that two criterias are important:

- don't block my productivity
- author should have his userbase in mind

1) Some simple anti examples:

- Windows popping up a big fat blue screen screaming for updates. Like... Go suck some donkey balls you stupid shit that's totally irritating you arsehole.
- Graphical tools having no UI concept. E.g. Adobes PDF reader - which was minimalized in it's UI and it became just unbearable pain. When the concept is to castrate the user in it's abilities and call the concept intuitive, it's not a concept it's shit. Other examples are e.g. GEdit - which was severely massacred in Gnome 3 if I remember correctly (never touched Gnome ever again. I was really put off because their concept just alienated me)
- Having an UI concept but no consistency. Eg. looking at a lot of large web apps, especially Atlassian software.
Too many times I had e.g. a simple HTML form. In menu 1 you could use enter. In menu 2 Enter does not work. in another menu Enter works, but it doesn't submit the form it instead submits the whole page... Which can end in clusterfuck.
Yaaayyyy.
- Keyboard usage not possible at all.
It becomes a sad majority.... Pressing tab, not switching between form fields. Looking for keyboard shortcuts, not finding any. Yes, it's a graphical interface. But the charm of 16 bit interfaces (YES. I'm praising DOS interfaces) was that once you memorized the necessary keyboard strokes... You were faster than lightning. Ever seen e.g. a good pharmacist, receptionist or warehouse clerk... most of the software is completely based on short keyboard strokes, eg. for a receptionist at a doctor for the ICD code / pharmaceutical search et cetera.
- don't poop rainbows. I mean it.
I love colors. When they make sense. but when I use some software, e.g. netdata, I think an epilepsy warning would be fair. Too. Many. Neon. Colors. -.-

2) It should be obvious... But it's become a burden.

E.g. when asked for a release as there were some fixes... Don't point to the install from master script. Maybe you like it rolling release style - but don't enforce it please. It's hard to use SHA256 hash as a version number and shortening the hash might be a bad idea.

Don't start experiments. If it works - don't throw everything over board without good reasons. E.g. my previous example of GEdit: Turning a valuable text editor into a minimalistic unusable piece of crap and calling it a genius idea for the sake of simplicity... Nope. You murdered a successful product.
Gnome 3 felt like a complete experiment and judging from the last years of changes in the news it was an rather unsuccessful one... As they gave up quite a few of their ideas.

When doing design stuff or other big changes make it a community event or at least put a poll up on the github page. Even If it's an small user base, listen to them instead of just randomly fucking them over.
--
One of my favorite projects is a texteditor called Kate from KDE.

It has a ton of features, could even be seen as a small IDE. The reason I love it because one of the original authors still cares for his creation and ... It never failed me. I use Kate since over 20 years now I think... Oo

Another example is the git cli. It's simple and yet powerful. git add -i is e.g. a thing I really really really love. (memorize the keyboard shortcuts and you'll chunk up large commits faster than flash.

Curl. Yes. The (http) download tool. It's author still cares. It's another tool I use since 20 years. And it has given me a deep insight of how HTTP worked, new protocols and again. It never failed me. It is such a fucking versatile thing. TLS debugging / performance measurements / what the frigging fuck is going on here. Take curl. Find it out.

My worst enemies....

Git based clients. I just hate them. Mostly because they fill the niche of explaining things (good) but completely nuke the learning of git (very bad). You can do any git action without understanding what you do and even worse... They encourage bad workflows.
I've seen great devs completely fucking up git and crying because they had really no fucking clue what git actually does. The UI lead them on the worst and darkest path imaginable. :(

Atlassian products. On the one hand... They're not total shit. But the mass of bugs and the complete lack of interest of Atlassian towards their customers and the cloud movement.... Ouch. Just ouch.

I had to deal with a lot of completely borked up instances and could trace it back to a bug tracking entry / atlassian, 2 - 3 years old with the comment: vote for this, we'll work on a Bugfix. Go fuck yourself you pisswads.

Microsoft Office / Windows. Oh boy.
I could fill entire days of monologues.
It's bad, hmkay?

XEN.
This is not bad.
This is more like kill it before it lays eggs.
The deeper I got into XEN, the more I wanted to lay in a bathtub full of acid to scrub of the feelings of shame... How could anyone call this good?!?????

My boss had a 50 page word document where he add any bugs he has found (he likes to test before it goes to QA) we then have to read that document for any changes (hi-lighted in blue) then add them to our bug tracking system. Any updates that are made on the ticket we have to add to the word document.

We tried letting him use our bug tracking tool but he hated using it as the padding on the navigation links was too big. We would have to redesign the 3rd party tool just for him

Recently at my work everyone got all hyped about blockchain. I've spent years studying it and especially crypto so I like to think I know a lot about it. Now every time some feature is discussed (like tracking video views) someone non tech shouts out "Oh we can use a blockchain!" And I have to spend half an hour convincing them why it's a bad idea in this particular case. Like we don't need to share that data, we don't need to ensure integrity without trust etc. I mean a blockchain is a great piece of tech but please stop trying to apply it everywhere...

It's like people think that the blockchain features at its most simplified level don't work anywhere else. E.g. as if stuff you put into MySQL suddenly changes because data integrity is not a 'feature' in that sense...

when you try to stop tracking changes to files you added on git but instead of running the remove from cache command you run the remove from server also command. and it deletes all the cpanel config files and ruins the hosting account.

python machine learning tutorials:
- import preprocessed dataset in perfect format specially crafted to match the model instead of reading from file like an actual real life would work
- use images data for recurrent neural network and see no problem
- use Conv1D for 2d input data like images
- use two letter variable names that only tutorial creator knows what they mean.
- do 10 data transformation in 1 line with no explanation of what is going on
- just enter these magic words
- okey guys thanks for watching make sure to hit that subscribe button

ehh, the machine learning ecosystem is burning pile of shit let me give you some examples:

- thanks to years of object oriented programming research and most wonderful abstractions we have "loss.backward()" which have no apparent connection to model but it affects the model, good to know
- cannot install the python packages because python must be >= 3.9 and at the same time < 3.9
- runtime error with bullshit cryptic message
- python having no data types but pytorch forces you to specify float32
- lets throw away the module name of a function with these simple tricks:
"import torch.nn.functional as F"
"import torch_geometric.transforms as T"
- tensor.detach().cpu().numpy() ???
- class NeuralNetwork(torch.nn.Module):
def __init__(self):
super(NeuralNetwork, self).__init__() ????
- lets call a function that switches on the tracking of math operations on tensors "model.train()" instead of something more indicative of the function actual effect like "model.set_mode_to_train()"
- what the fuck is ".iloc" ?
- solving environment -/- brings back memories when you could make a breakfast while the computer was turning on
- hey lets choose the slowest, most sloppy and inconsistent language ever created for high performance computing task called "data sCieNcE". but.. but. you can use numpy! I DONT GIVE A SHIT about numpy why don't you motherfuckers create a language that is inherently performant instead of calling some convoluted c++ library that requires 10s of dependencies? Why don't you create a package management system that works without me having to try random bullshit for 3 hours???
- lets set as industry standard a jupyter notebook which is not git compatible and have either 2 second latency of tab completion, no tab completion, no documentation on hover or useless documentation on hover, no way to easily redo the changes, no autosave, no error highlighting and possibility to use variable defined in a cell below in the cell above it
- lets use inconsistent variable names like "read_csv" and "isfile"
- lets pass a boolean variable as a string "true"
- lets contribute to tech enabled authoritarianism and create a face recognition and object detection models that china uses to destroy uyghur minority
- lets create a license plate computer vision system that will help government surveillance everyone, guys what a great idea

I don't want to deal with this bullshit language, bullshit ecosystem and bullshit unethical tech anymore.

nothing worse than undocumented API changes in the bug tracking system you implement against for your company...

Sometimes in our personal projects we write crazy commit messages. I'll post mine because its a weekend and I hope someone has a well deserved start. Feel free to post yours, regex out your username, time and hash and paste chronologically. ISSA THREAD MY DUDES AND DUDETTES
--
Initialization of NDM in Kotlin
Small changes, wiping drive
Small changes, wiping drive
Lottie, Backdrop contrast and logging in implementation
Added Lotties, added Link variable to Database Manifest
Fixed menu engine, added Smart adapter, indexing, Extra menus on home and Calendar
b4 work
Added branch and few changes
really before work
Merge remote-tracking branch 'origin/master'
really before work 4 sho
Refined Search response
Added Swipe to menus and nested tabs
Added custom tab library
tabs and shh
MORE TIME WASTED ON just 3 files
api and rx
New models new handlers, new static leaky objects xd, a few icons
minor changes
minor changesqwqaweqweweqwe
db db dbbb
Added Reading display and delete function
tryin to add web socket...fail
tryin to add web socket...success
New robust content handler, linked to a web socket. :) happy data-ring lol
A lot of changes, no time to explain
minor fixes ehehhe
Added args and content builder to content id
Converted some fragments into NDMListFragments
dsa
MAjor BiG ChANgEs added Listable interface added refresh and online cache added many stuff
MAjor mAjOr BiG ChANgEs added multiClick block added in-fragment Menu (and handling) added in-fragment list irem click handling
Unformatted some code, added midi handler, new menus, added manifest
Update and Insert (upsert) extension to Listable ArrayList
Test for hymnbook offline changing
Changed menuId from int to key string :) added refresh ...global... :(
Added Scale Gesture Listener
Changed Font and size of titlebar, text selection arg. NEW NEW Readings layout.
minor fix on duplicate readings
added isUserDatabase attribute to hymn database file added markwon to stanza views
Home changes :)
Modular hymn Editing
Home changes :) part 2
Home changes :) part 3
Unified Stanza view
Perfected stanza sharing
Added Summernote!!
minor changes
Another change but from source tree :)))
Added Span Saving
Added Working Quick Access
Added a caption system, well text captions only
Added Stanza view modes...quite stable though
From work changes
JUST a [ush
Touch horizontal needs fix
Return api heruko
Added bible index
Added new settings file
Added settings and new icons
Minor changes to settings
Restored ping
Toggles and Pickers in settings
Added Section Title
Added Publishing Access Panel
Added Some new color changes on restart. When am I going to be tired of adding files :)
Before the confession
Theme Adaptation to views
Before Realm DB
Theme Activity :)
Changes to theme Activity
Changes to theme Activity part 2 mini
Some laptop changes, so you wont know what changed :)
Images...
Rush ourd
Added palette from images
Added lastModified filter
Problem with cache response
works work
Some Improvements, changed calendar recycle view
Tonic Sol-fa Screen Added
Merge Pull
Yes colors
Before leasing out to testers
Working but unformated table
Added Seperators but we have a glithchchchc
Tonic sol-fa nice, dots left, and some extras :)))
Just a nice commit on a good friday.
Just a quickie
I dont know what im committing...

3 weeks back took a bug..
**long rant**

Looked into it and found that it is exist in older version(say V1) as well.
Sent mail to client stating i can fix this in current version (say V2). Since V1 is already released and our current code stream is V2 and so if we fix in V2 , the code will not reach V1 code base.
**explained to client**

Client : I mean if you fix why it won't work in older release.

Me: Explains how code streams will work.

Client : Okay.. but it will support the functionality in V1 , right ?

Me: (*internally* are fucking kidding me? It won't work dumb ass.) No. It won't work in older versions. I am fixing it in V2.

client: okay.. Let's proceed.

Me: Done code changes. Send code to review. (we have to send review to upper level manager).

Manager1 : I didn't liked this part. can you change this ?
Me : sure. Done.

Manager1 : Now i liked it. Sent review to Manager2.

Me: why the fuck ? Are you not sure about my changes are good?
Manager 2: I liked it, but need some log changes.
Me: Fuckkkk...... Let me change this.. Done. Now can I promote those changes?

Manager2: No we need to send review to client manager as well.

Me: Goddammit.. Okay.. sent review.

*After a fucking week..*
Client Manager : Looks good. Push the code.
Me: Finally..

(This process took 18 days which would have been completed in 3 days if there is only one peer review)

Now the other guy from client whose tracking the bugs reported why it took so long to fix it.

I think my client manager is over paid and can't even know how his company code stream works. Fuck you . why client has these lazy ass old fucking "I don't look into my email" type people. God I hate these "I am in rich country" people.

I am having an introspective moment as a junior dev.

I am working in my 3rd company now and have spent the avg amount of time i would spent in a company ( 1- 1.5 years)

I find myself in similar problems and trajectories:

1. The companies i worked for were startups of various scales : an edtech platform, an insurance company (branch of an mnc) and a b2b analytics company

2. These people hire developers based on domain knowledge and not innovative thinking , and expect them to build anything that the PMs deem as growth/engagement worthy ( For eg, i am bad at those memory time optimising programming/ ds/algo, but i can make any kind of android screen/component, so me and people like me get hired here)

3. These people hire new PMs based on expertise in revenue generation and again , not on the basis of innovative thinking, coz most of the time these folks make tickets to experiment with buttons and text colors to increase engagement/growth

4. The system goes into chaos mode soon since their are so many cross operating teams and the PMs running around trying to boss every dev , qa and designer to add their changes in the app.

5. meanwhile due to multiple different teams working on different aspects, their is no common data center with up to date info of all flows, products and features. the product soon becomes a Frankenstein monster.

6. Thus these companies require more and more devs and QAs which are cogs in the system then innovative thinkers . the cogs in the system will simply come, dimwittingly add whatever feature is needed and goto home.

7. the cogs in system which also start taking the pain of tracking the changes and learning about the product itself becomes "load bearing cogs" : i.e the devs with so much knowledge of the product that they can be helpful in every aspect of feature lifecycle .

8. such devs find themselves in no need for proving themselves , in no need for doing innovative work and are simply promoted based on their domain knowledge and impact.

My question is simply this : are we as a dev just destined to be load bearing cogs?

we are doing the work which ideally a manager should be doing, ie maintaining confluence docs with end to end technical as well as business logic info of every feature/flow.

So is that the only definition of a Software Engineer in a technical product?

then how come innovations happen in companies like meta Microsoft google open ai etc?

if i have to guess as a far observer, i would say their diversity in different fields helps them mix and match stuff and lead to innovative stuff.

For eg, the android os team in google has helped add many innovative things in google cloud product and vice versa.

same is with azure and windows . windows is now optomissed to run in cloud machines when at one point it was just a horrible memory hogging and slow pc OS

for small companies, 1 ideology/product/domain is their hero ideology/product/domain .

an insurance company tries to experiment with stuff related to insurances,health,vehicles,and the best innovations they come up with is "lets give user a discount in premium if they do 5000 steps a day for an year".

edtech would say "lets do live streaming for children apart from static videos"

but Android team at google said , "since ai team is doing so well, lets include ai in various system apps and support device level models" ~ a much larger innovation as 2 domains combined to make a product

The small companies are not aiming to be an innovative product, they are just aiming to be a monopoly product. and this is kinda sad

I've recently been promoted and I'm going from hourly to salaried. Amidst this crisis and the promotion I've gotten lost in the big changes and forgot to ask the simple questions.

When tf do I leave work if I'm not tracking my hours anymore? (Or for the near future, log off of work)

I know the general consensus is "when the work is done", but we all know the work is never truly done

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In the fast-paced world of retail, understanding customer behavior and optimizing store operations are key to success. Retail footfall analysis provides valuable insights into how shoppers interact with your store, helping you make data-driven decisions to enhance performance and drive growth. Here’s how leveraging footfall analysis can revolutionize your retail marketing analytics consulitng strategy.

What is Retail Footfall Analysis?
Retail footfall analysis refers to the process of measuring and interpreting customer traffic patterns within a retail environment. This analysis involves collecting data on the number of visitors, their movement within the store, and their dwell times. By examining this data, retailers can gain a deeper understanding of shopper behavior, store performance, and the effectiveness of marketing strategies.

Benefits of Retail Footfall Analysis
Optimize Store Layout: By analyzing how customers navigate through your store, you can redesign layouts to improve traffic flow and increase the visibility of high-margin or promotional items. Strategic placement of products can enhance the shopping experience and drive sales.

Enhance Customer Experience: Understanding peak traffic times allows you to manage staffing levels more effectively. Ensuring adequate staff during busy periods can improve customer service and satisfaction, while reducing labor costs during quieter times.

Evaluate Marketing Effectiveness: Footfall analysis helps assess the impact of marketing campaigns and promotions. By comparing traffic data before, during, and after a campaign, you can determine what drives the most foot traffic and adjust future marketing strategies accordingly.

Improve Inventory Management: Analyzing foot traffic data helps with inventory planning by identifying which products attract the most customers. This insight allows you to better manage stock levels and avoid both overstocking and stockouts.

Drive Sales Growth: With detailed insights into customer behavior, you can make informed decisions to boost sales. For example, adjusting store layouts, optimizing product placement, and fine-tuning promotional strategies based on footfall data can lead to increased revenue.

How Retail Footfall Analysis Works
Data Collection: Footfall data is collected using various technologies such as infrared sensors, video cameras, and Wi-Fi tracking. These tools capture information on the number of visitors, their movement patterns, and the time they spend in different areas of the store.

Data Analysis: The collected data is analyzed to uncover patterns and trends. Key metrics include foot traffic volume, peak shopping times, customer dwell times, and the effectiveness of different store areas.

Insights and Recommendations: Based on the analysis, actionable insights are provided. This might include recommendations for store layout changes, staffing adjustments, or marketing strategies to better align with customer behavior.

Implementation: Retailers implement the recommendations to optimize store performance. This may involve reconfiguring store layouts, adjusting staffing schedules, or launching targeted marketing campaigns.

Ongoing Monitoring: Retail footfall analysis is an ongoing process. Continuous monitoring allows retailers to stay responsive to changes in customer behavior and market conditions, ensuring sustained improvements in store performance.

Why Retail Footfall Analysis Matters
Enhanced Customer Understanding: Provides a clear picture of how customers interact with your store, leading to better decision-making.
Increased Efficiency: Helps optimize store operations and resource allocation, improving overall efficiency and effectiveness.
Data-Driven Decisions: Enables retailers to make informed decisions based on concrete data rather than intuition or guesswork.
Conclusion
Retail footfall analysis is a powerful tool for optimizing store performance and driving business growth. By understanding customer behavior and traffic patterns, retailers can make strategic adjustments to store layouts, staffing levels, and marketing efforts, ultimately enhancing the shopping experience and boosting sales.

Leverage the insights from retail footfall analysis to transform your store operations and stay ahead of the competition. With the right approach, you can unlock new opportunities for success and achieve your retail goals.

Screen Usage Tracking at Work: Balancing Productivity and Privacy

Introduction
In today’s fast-paced, tech-driven work environments, screen usage tracking has become an essential tool for organizations aiming to improve productivity, security and efficiency. Modern organizations use these monitoring tools to track employee digital device activities because they need to ensure productive time usage. Screen usage tracking generates important privacy issues and ethical problems regarding technological implementation. The successful implementation of productive spaces must preserve worker privacy rights. The following article addresses all aspects of workplace screen usage tracking, including its advantages and disadvantages and proper implementation guidelines.

The Need for Screen Usage Tracking in the Workplace
The demand for screen usage tracking arises from several factors. Digital activity monitoring enables employers to confirm that staff members concentrate on their work tasks while they are at their desks. Remote work and hybrid models have become standard in workplaces because employees can no longer prove their productivity through office attendance. Employers need to monitor how workers spend their time at work because they want both performance outcomes and adequate time management.
Businesses operating in specific industries need to track their employees' activities to secure data because regulatory standards demand it. Through online activity tracking, employers achieve two objectives: they detect suspicious behavior right away and stop employees from accessing unauthorized confidential data. Screen usage tracking functions as an essential tool for both business efficiency maintenance and security protection of organizational assets.

Benefits of Screen Usage Tracking
Reduces Distractions
Employees lose their focus on work when there is no oversight system in place. Screen tracking ensures that employees are focused and using their time effectively, especially during work hours. Work hour restrictions on particular apps and websites through blocking mechanisms help employees stay focused on their tasks.
Enhances Security and Compliance
Employees lose their focus on work when there is no oversight system in place. Work hours require employees to remain focused while using their time effectively because screen tracking provides this oversight. Work hour restrictions on particular apps and websites through blocking mechanisms help employees stay focused on their tasks.
Data-Driven Insights
Screen usage data generates important information about employee work habits as well as employee engagement levels. By monitoring screen usage data managers can identify workers who require extra support and training along with identifying staff members who work excessively and those who perform above expectations. Staff management strategies and workplace performance benefit from these insights gained.

Future of Screen Usage Tracking in Workplaces
Screen usage monitoring will experience future evolution through technological developments that define how tracking occurs. These screen usage tracking tools will benefit from Artificial Intelligence (AI) because it brings both enhanced accuracy and usefulness. Artificial intelligence programming systems analyze staff behavioral patterns to generate forecast data which leads to predictive productivity improvement strategies.
Privacy laws together with regulations, will likely advance in their development. Organizations must discover methods to integrate employee rights protection systems with their monitoring strategies due to rising data privacy concerns. Organizations will adopt standard tracking policies based on transparency and employee consent to maintain ethical and legal handling of employee data.
Qoli.AI drives revolutionary changes in screen usage tracking through its leading AI technology solutions. Data-driven business decisions through Qoli.AI become possible because they provide up-to-the-minute employee performance and behavioral data while adhering to privacy limits. The platform integrates advanced technology to connect with workplace systems which provides employees with trustworthy monitoring solutions.

Conclusion
The implementation of work screen monitoring serves both positive and negative functions. Employment screen tracking enables productivity enhancement and security alongside operational efficiency at the cost of severe privacy issues and moral problems. The successful implementation of work performance enhancement requires organizations to maintain the proper balance between performance upliftment and employee privacy protection. The use of screen tracking tools benefits employers when they maintain transparency and gain employee consent, as well as develop ethical standards that protect employee trust and workplace morale.