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We had explained RPA extensively in layman’s terms and outlined RPA benefits. As an excellent data aggregator, one of the frequently cited benefits of RPA is improved analytics and big data analytics which has been a priority for executives for the past decade. However, the benefits of RPA to analytics are limited to data federation as it enables multiple databases to function as one.

How does RPA contribute to analytics?

We should consider the analytics funnel above to see where RPA can contribute. Bots have essentially 2 critical functions from a data standpoint:

Create meta data: As they complete tasks, they record their progress and the issues they face for diagnostic purposes. This data can be used for both the client or the RPA provider to identify RPA bugs and improve bot performance.

Enable access to data in legacy systems: Since they overtake tasks that require interfacing with legacy systems, they make previously difficult to access data accessible. This can transform data collection capabilities of enterprises, especially those that depend on legacy systems.

Therefore, bots do not essentially improve analytics capabilities but aid in data collection. Even RPA vendors agree with this, underlining that core benefit of RPA is in data federation: the capability to collect data from many different sources and aggregate it in an easy-to-analyze format.

How does data federation contribute to company performance?

Firstly, data federation should not be a major concern for an SME or startup. However for large companies, it is a major concern as legacy systems historically held large companies back in terms of easy access to data. Now with access to granular data about processes, large companies can reap 2 important benefits:

Process optimization thanks to process mining

Granular data about processes can help identify bottlenecks and inefficiencies, enabling corporations to increase both speed and efficiency of the process. Furthermore, it makes dissemination of best practices easier. Since process flows can easily be visualized with the help of data, process flows in different regions can be compared to find the best processes for the whole company. For example, in one of process mining case studies, Piraeus Bank optimized their loan application processes from 35 minutes to 5 minutes, thanks to process mining technology.

For complex inter-related processes, machine learning techniques could be used to find optimizations that analysts could easily miss. Here are some examples from PwC:

Machine learning might come up with the suggestion that ordering material X from supplier A in the week of Christmas instead of the first week in January will result in a 50% improvement in order fulfilment in January. You could change the RPA robot setting in line with this suggestion to make sure orders to the relevant suppliers are placed during Christmas week, while your staff are on vacation. Apart from its ability to generate simple correlations, machine learning combined with today’s computing power is increasingly capable of identifying unknown relationships within multiple business processes. For instance, it can potentially correlate procumbent processes with sales processes to analyze directly what supply chain management actions need to be taken to improve sales.

Process simulation

Some major decisions like outsourcing, workforce reductions or expansions are made haphazardly, based on urgencies without considering future implications. Such decisions tend to have long-lasting impact because once a process is outsourced or its headcount increased, it is difficult to roll-back such decisions due to risk averseness inherent in humans. Managers, especially those in well performing companies, would like to see how rolling back such changes will not impact operations. Process simulation provides an answer. By simulating how a process flow will be impacted by changes, analysts can show the impact of major changes on the process. RPA systems can provide the necessary data for such simulations.   RPA can have other fundamental benefits for cost management and elimination of manual errors as we outlined in our comprehensive list of RPA benefits.  

For more on RPA

To explore RPA and its use cases in detail, feel free to read our in-depth articles:

If you still have any questions about RPA, feel free to download our in-depth whitepaper on the topic:

And if you believe your business will benefit from an RPA solution, feel free to scroll down our data-driven list of RPA vendors.

And let us guide you through the process:

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





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Guide To It Orchestration: Benefits, Use Cases & Tools In 2023

Reportedly, the workflow orchestration market is grew from ~$14B in 2023 to ~$51B by 2023, at a CAGR of 29.8%.

IT orchestration’s market size growth is driven by businesses’ need to streamline processes and implement digital transformation strategies. Orchestration enables digital transformation by automating the configuration, coordination, and management of computer systems and software.

This article is an in-depth guide into orchestration.

What is an orchestration tool?

Orchestration tools are a type of software that can automate the configuration, coordination, integration, and data management processes on several applications and systems. IT teams leverage orchestration tools to automate repetitive tasks in these processes such as server provisioning, incident management, cloud orchestration, database management, application orchestration, and many other tasks and workflows.

What is the difference between IT automation and orchestration?

IT automation refers to the practice of using programmed scripts or RPA bots to perform a sequence of moves to complete a certain IT task (e.g. software update), whereas IT orchestration refers to automating multiple tasks on one or multiple platforms (e.g. multiple server management) using workload automation software, and job schedulers. Therefore, orchestration can be thought of as an end-to-end workflow automation solution.

What are the benefits of IT orchestration?

Orchestration offers multiple benefits to IT teams, such as:

Centralized management: Orchestration enables IT teams to automate tasks across multiple platforms from a single point, which provides centralized monitoring and management over all IT servers, applications, and workflows.

Fast and easy integrations: Centralized coordination among IT servers and applications enables easier and faster integration of new tools and systems to the existing infrastructure.

Reduced product-release cycles: Coordinating IT workflows such as DevOps and automation testing enables faster time to release new products and applications.

Where is orchestration used?

Orchestration is used for:

1. Unified IT workflow automation

Orchestration tools enable scheduling and execution of IT jobs and workflows across multiple platforms, as well as initiating workflows at triggering events, thus, automating repetitive IT process workflows.

2. DevOps orchestration

DevOps is the set of practices that combines software development and IT operations in order to reduce software development lifecycle (SDLC). Orchestration tools enhance DevOps lifecycles by:

Automating IT processes relevant to DevOps, such as machine provisioning, system reboots, or task scheduling

Auto reporting of process errors, fails, and interruptions

Creating a product backlog and revision history for audit and compliance

3. Cloud orchestration

Cloud orchestration is the practice of automating cloud-related tasks, including:

Depending on the tasks and workflows, businesses can leverage the following types of tools and software for orchestration:

Job schedulers: Job schedulers are tools which businesses use to schedule the initiation of workflows by creating queues of tasks, assigning tasks to servers, and monitoring the execution.

Workload automation (WLA) tools: WLA tools enable the automation of several back-end workflows by scheduling, triggering, and executing processes on multiple platforms. The difference between WLA tools and job schedulers is that job schedulers typically do not incorporate triggering events (e.g. run tasks based on set times instead of triggering events)

Note that job schedulers and WLA are different tools. Learn more about differences between job schedulers vs. WLA.

Further reading

To learn more about automation and orchestration of IT processes, feel free to read our articles:

And if you believe your business will benefit from an automation and orchestration solution, feel free to check our data-driven automation hub where we keep comprehensive up-to-date lists of top tools and vendors.

To gain a more comprehensive overview of workload automation, download our whitepaper on the topic:

And let us guide you through the process:

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





How To Check Backlinks In Google Analytics 4 (2023)

This guide is intended to help you understand and make the best out of backlinks analytics. 

You will know how to find backlinks in GA4 so that you can unleash opportunities such as improving your ranking on search engines, building partnerships, protecting your website, and getting more conversions.

This is what we’re going to cover: 

Let’s see how to deal with backlinks in GA4!

When other websites include links that direct to your website, these are referred to as backlinks.

Essentially, backlinks are important because they are considered a key ranking factor by Google and other search engines. The more backlinks you have, the more possibilities you have for ranking. 

Getting backlinks is like having other websites vote in your favor and tell search engines that your site and its content are helpful, reliable, and satisfying to your audience. 

The more you rank, the more chances you have of additional traffic, which ultimately means more opportunities to achieve your goals such as converting prospects into customers. 

Why Should I Check Backlinks in Google Analytics?

Since backlinks are considered votes, the more of them you get (quality ones of course) the more you increase your chances of being at the top of search engine results. Therefore, it is beneficial to know them.

By analyzing your backlinks, you can identify opportunities for growth and gain insight into your competition. Understanding the link profile of your competitors can help you benchmark your performance, identify successful strategies, and uncover areas for improvement.

By closely monitoring your backlinks, you will be better equipped to create effective content, form strategic partnerships, and drive more traffic to your website.

Even though getting backlinks is rewarding, there are some that you don’t want in your reports. 

Apart from those coming from trusted sources, certain types can skew your GA4 stats or even harm your site. As such, some sites have experienced up to 90% bot/fake traffic not infrequently. 

How To See Backlinks in GA4?

🚨 Note: Hold your horses! Before jumping into the report and visiting all the websites that are referred to yours, it’s important to understand the different types of referral traffic, how to analyze them, and how to manage or cut the risks (like malware) that some carry. We’ll show you how to see your backlinks, but make sure to read the next sections. 

In your Google Analytics account, go to Reports→ Acquisition → Traffic acquisition

Scroll down and type the word “referral” in the search bar and press Enter on your keyboard.

You will see your referral traffic aggregated. 

To view all your referrals, change the primary dimension from the Session default channel group to Session source/medium. 

Select the primary dimension: 

Now, select Session source/ medium.

Now you can see all your referrals or backlinks.

To address these problematic backlinks, they should be added to the list of unwanted referrals in GA4. We’ll cover this in the section about how to remove bad backlinks.

Let’s first discuss the types of referrals that can cause issues and that you don’t want as referrals:


Third-party payment processors

Website-managed interactions

Spam referral ⚠️


Self-referrals are traffic that comes from your domain. Most of the time, this is due to analytical implementation issues. The consequences of this are wrong attributions. 

You’ll also have session inaccuracies because each time Google Analytics recognizes a source of traffic as being referral traffic, a new session begins. Therefore, your sessions can be more numerous than they are.

Main self-referral issues: 

a) Untagged landing pages

Ensure that all web pages on your website include the Google Analytics tracking code. This code enables Google Analytics to determine (to attribute is the right term) the source of website traffic, allowing you to identify where your visitors are coming from.

If a user visits your website and lands on a page without the Google Analytics tracking code, the page will be considered as a referrer by Google Analytics, thus a self-referrer.

b) Cross-subdomain sessions

GA4 automatically tracks subdomains and does not require any additional setup. When a referrer website has the same domain as one of your pages, Analytics will not count it as a referral.

c) Incorrect cross-domain tagging

Sometimes a website may lead a user to another domain to register for a course for example. After registering, the user is redirected or simply goes back to the first website. 

Although the user is led to two different websites, there is only one journey and not two. In this case, you do not want the second domain to be a referrer because it is not true. The second domain is not sending new traffic to you.

If you’re facing a similar scenario, read our guide on how to set up cross-domain tracking in GA4. 

Third-party payment processors

Paypal, for example, is a third-party payment processor. 

Oftentimes, a user that purchases on an eCommerce store is led to another domain (like PayPal) to complete the payment. After checking out, the user is redirected back to the eCommerce store. 

Coming back to the site will trigger a new session which will skew your statistics. The new sessions triggered by traffic from third-party payment processors are not reflective of the true user journey. 

You do not want third-party payment processors as referrals. To do so, you must add them to the list of unwanted referrals in GA4.

Spam referral ⚠️

Yes. You’re seeing the warning sign correctly. 

Referrer spam is a black hat marketing tactic that involves a spammer sending fake traffic, also called ghost traffic(traffic coming from bots and not an actual person), to your Google Analytics. 

The objective is to promote their website by luring you into visiting the URLs you see in your referral report. 

By promoting a website via this unethical tactic, one may insert an affiliate link which can result in them getting a commission if you were to make a purchase, for example. Okay, the approach was shady, but you may get something positive out of it.

However, spammers can also use referrer spam to build their backlinks!

Although some of these are sometimes legitimate existing sites, the danger we hinted at is malware and phishing sites.

🚨 Note: You’ll often read that you should be careful about spam referrer links. But, this doesn’t help much with what to do about it. If you’re unsure of the legitimacy of your referrals, you’ll have to visit these sites despite the risk. Just make sure you’re using anti-virus software. 

How Do I Know If My Site Has Bad Backlinks?

It’s a valid concern to wonder which backlinks are legitimate and which are not.

It’s important to note that not all low-quality backlinks are necessarily harmful. It’s not realistic to expect to only have backlinks from highly authoritative sites.

Having backlinks from lower authority domains can also be beneficial, as it increases your online visibility and gets attention from search engines.

So how to differentiate the good ones from the bad ones? 

A quick hint is links that have random alphanumeric characters, these links with weird letters and numbers. Then again, some legit sites sometimes have those from their subdomains. 

🚨 Note: The quickest giveaway, are metrics with extreme values like 100 (or close to it) or plain zeros. New Sessions and Bounce rates with values of 100%, Average session duration with 00:00:00, and 0.00 conversions are usually bad backlinks. 

How Do I Check and Remove Bad Backlinks?

You can check bad backlinks by following the simple steps we detailed earlier in how to see backlinks in GA4. 

To remove bad backlinks, go to Admin → Data Streams (Data Streams are found in the Property column). Then select your domain.

Scroll down to the Google tag section and select Configure tag settings.

Now select List unwanted referrals.

You can start now to add your unwanted domains. Hover on the Configuration box, and select the pencil icon that appears. 

There are 5 ways (or different match types) to add unwanted referrals as you can see: 

With Regex, you can include all your unwanted referrals in one line, but you should know Regex and be certain that the filter works.

Otherwise, keep it simple (sometimes that’s just best), like our example in the picture below. You could add more of them using the same steps. 

Let’s remove PayPal as a referrer:

This is how you remove unwanted referrals and bad backlinks. 

How to Measure Referral Traffic

To measure website traffic, first, use the method we covered earlier to access referrals in your Traffic acquisition report. Don’t forget to add the Session source / medium dimension to view all your referrals. 

From here, you can see how your collaborative strategies with other domain owners are working by looking at the Conversions or the KPIs that mattered to you. 

If you aren’t partnering or working with anyone yet, take note of referrals that are either bringing Users or that have a good Average engagement time per session. 

In the same vein, you can find which content performs best for your referral traffic by adding the Landing page + query string dimensions to see where users from referral sources land.

Use the same method we mentioned above (amount of Users, Average engagement time per session, and conversions). 

A good Average engagement time per session means that the content is engaging and you should do more of it. 

The Bounce rate metric can be available in explorations. You can also use it to know if these pages are meeting their expectations or if they make them run away. 

Use Comparisons to compare your referral traffic with other channels and segments. 

💡 Top Tip: If you have low amounts of referrals, don’t dismiss those that are bringing in few users. That one referral could be a domain with high authority and one with the potential for a fruitful collaboration. This could also be one you should get in contact with to start your link-building efforts.

Improving and Getting More Referral Traffic

There are several things you can do with referral traffic. Here are some examples:

Write guest posts.

Find other referrals similar to those you already have and contact them for possible collaboration.

Maintain your relationship with your partners or collaborators. Keep human contact to preserve what you have already built. A simple thank you email can go a long way in maintaining a healthy and productive relationship.

Contact Influencers who would be interested in your content. This will allow you to reach your audience or expand it.

Analyze the link-building strategy of your competition to understand what there is to improve in your strategy. You can also take note of the sites that send traffic to them (and others that are similar) and contact them.

FAQ How can I see backlinks in Google Analytics 4?

To see backlinks in GA4, go to your Google Analytics account, navigate to Reports → Acquisition → Traffic acquisition. In the search bar, type “referral” and press Enter. This will display your referral traffic, which represents your backlinks.

How do I check and remove bad backlinks in GA4?

To check and remove bad backlinks in GA4, go to Admin → Data Streams → Select your domain → Configure tag settings → Show all → List unwanted referrals. Add the unwanted domains using different match types. You can add the domain you want to remove and save the configuration.

Why should I check backlinks in Google Analytics?

Checking backlinks in Google Analytics allows you to gain insights into your website’s performance, identify growth opportunities, and understand your competition. It helps you analyze the link profile of your website and make informed decisions to improve your backlink strategy.


This guide has provided an overview of backlinks analytics including how to find and check backlinks in Google Analytics 4, how to remove bad backlinks, how to measure your referral traffic, and how to improve your link-building efforts.

It’s worth mentioning that you should verify that your users coming from external websites aren’t being redirected from broken links leading to pages on your website that don’t exist anymore. 

We do cover how to track, find and fix 404 eros in GA4 if you’re interested. 

As always, we hope this post was useful to you.

A Complete Guide To Vmware Benefits

Introduction to VMware

Web development, programming languages, Software testing & others

This software helps us in various domains like security, storage, networking, etc. VMware provides us with various software and products that can be used for different benefits; here, we will see the various benefits of using that product and software for better understanding and usage.

Various VMware Benefits

As we already know, VMware has many benefits, which can be understood by the various product it provides, which adds great help to security networking, storage, and many more areas.

1. Provides virtual desktop infrastructure

One of the benefits of using this is we can use the desktop from anywhere we want. From this, we do not require a full desktop setup in the workplace; we can use VMware Horizon, which allows us to manage and run the Windows desktop from VMware Cloud or AWS. This removes a lot of things for us, like we do not require to manage and set up the full desktop at the workplace. Also, it helps reduce the monitoring and managing of user security and centralizes management. We can use this with two more VMware products, Dynamic Environment Manager and App Volumes, which help us in application delivery and managing the Windows desktop.

2. Provide personal desktop

VMware created this as their first product, enabling users to run or manage virtual machines directly on a single Linux, Windows, or laptop. Using this, we can have a virtual machine inside the physical machine, which can run without causing any issues; in short, it can run parallel or simultaneously. If we talk about virtual machines, they have operating systems such as Linux or Windows. With this, we can even run Windows on the Linux machine and vice versa without worrying about the installed operating system on the machine. The product name VM Workstation enables us to run the virtual machine in the machine; for Mac computers, we have VM Fusion.

3. Provide storage and availability 4. Provide disaster recovery management

VMware benefits also include disaster recovery; for this, it provides us with the Site Recovery Manager, which helps us create the recovery plan, which will be executed automatically in the case of failure. The NSX further integrates with this system to maintain and preserve the security and network on the migrated VMs.

5. Provide the cloud infrastructure

For infrastructure, we have one product from VMware which is known as vSphere, which provide the following points:


vSphere Client


vCenter Server

6. Provide us SDDC platform

SDDC manager helps to integrate various software into a single platform, such as VMware NSX, vSphere, vSAN, etc. So for this, we have VMware cloud foundation, which is a software that helps to bundle this mentioned software by the use of the SDDC platform; now we can deploy this bundle on the private cloud or also have the option to run this bundle within as public cloud but as a service. Admin can do all these tasks; admin also has the provision to the application without the need for storage and network.

7. Provide network and security

As seen above are the main benefits of VM, as we have already seen it provides us with many products which can be used for different purposes as per the need, one of the main things about doing things virtually without carrying the setup at the workplace.

Below are the key points that need to be kept in mind while using the VN product; they provide us with many benefits, but we also have some drawbacks that must be focused on.

Also, there is a lack of support, which means we may encounter several bugs while using the VM product.

Not all things are free; the fees are very high for licensing.

Conclusion – VMware Benefits

As we have already seen so many benefits of VM in this article, we have also seen the different products that provide for different purposes; you can understand and start using them by the above explanation; we have many more things in VM.

Recommended Articles

This is a guide to VMware Benefits. Here we discuss the introduction and various VMware benefits for better understanding. You may also have a look at the following articles to learn more –

Recruiting Ai In 2023: Guide To Augmenting The Hiring Team

What is AI recruiting?

AI recruiting is applying machine learning on the recruiting-related big data to improve the recruiting process of the organization. AI in recruitment is designed to reduce the time spent on repetitive, high volume tasks through automation.

What are its benefits?

Hires that better match the role requirements: AI tools can enable this by:

Enabling HR teams to process more applications: Automation of high volume tasks such as screening resumes and scheduling interview time saves time of HR teams. As a result, they can have time to process more applicants which can lead to an increase in the quality of hires

Increased effectiveness in filtering applicants: Manual processes have an error rate of 3-4% because people get bored and lose their focus while completing repetitive work. AI tools can filter out candidates that are definitely not a good fit for the role, enabling teams to focus on candidates that are more likely to be successful in the job

A higher acceptance rate: Faster responses from the HR team lead to a higher acceptance rate because the company will be less likely to lose candidates to their competitors during the process of hiring.

Lower hiring costs: Automation can help companies focus their HR teams on higher value activities rather than repetitive recruitment related tasks.

A study by a recruitment technology company indicates that early AI recruitment adopters provide

Why is it important now?

Talent is always a scarce resource. Especially in fields like AI, companies are engaged in fierce competition to attract talent. Now with the rise of deep learning in 2010s, machines can support humans in repetitive tasks that involve decision making. Therefore, it is not surprising that AI-powered approaches are becoming more common in recruiting.

How does it work?

Ideal, a recruitment AI vendor, summarized the recruitment process and identified areas where AI can help in the below image.

In cases where companies are aiming to hire for positions that require experience such as a CTO or head of data science, companies need to proactively reach candidates. This adds two more steps to the process outlined in the image:

Recruiters should search both internal databases as well as professional networks like Linkedin and XING (in German speaking companies) for candidates that can fill the open position. Machine learning algorithms can make the search among thousands of profiles easier however we have not yet come across vendors that offer such services. Alternatives include keyword searches and filters such as experience but these rules based approaches require fine-tuning for each new candidate search.

Businesses can also leverage web scraping tools which automate the extraction of candidate data from job listings and websites (e.g. LinkedIn).


For instance, Bright Data’s data collector can be used to target job websites, extract relevant data automatically, and send it to end users in the designated form. See the following video for an in-depth view of how Bright Data works:

Personalized messages are necessary for outreaching to interesting candidates. A machine learning model can fine tune the messages based on the candidate and candidate’s online profile.

3. Intelligent Screening&Matching

Though HR departments can track data of candidates from various recruiting websites and social media, it is time consuming. AI-powered recruitment solutions enable recruiters to automate screening candidates’ resumes and matching the most suitable candidates to the job.

4. Recruiter Chatbot

Recruiter chatbots interact with candidates via personalized messages, write quick responses to their questions and ask relevant questions to collect more data about them. It is important to clarify that the candidate is interacting with a chatbot since chatbots can fail to answer questions which should not be misunderstood as a deficiency of the company’s HR team.

Check out data-driven list of conversational AI and chatbot vendors.

5. Online Interview Analysis

AI-powered solutions can analyze online interviews focusing on a candidate’s facial expressions during the interview. These solutions capture mood, and other characteristics of the employee. Unilever uses this technology and claims that it has increased ethnic and socioeconomic diversity within the company. We are relatively skeptical about this application and will be looking for more proof before we see this as an area to invest in.

See our article about virtual event platforms for more detail on how these tools work.

What are its challenges?

Modern AI systems are data hungry. HR teams need to make sure that their AI powered recruiting system need is able to access various recruiting websites (LinkedIn, Google for Jobs, etc.) along with social media platforms (Facebook, Instagram, etc.) and company’s historical data on candidate data and job performance. 

Machine learning algorithms are trained on historical, potentially biased data. Companies need to be aware of areas where human intelligence tends to be biased and overcome such biases in their machine learning models. 

Further Reading

If you want to learn about AI use cases and recruitment, feel free to read our articles on

If you believe your business can benefit from AI and ML, you can start reviewing our data-driven lists where we compare ML/AI platforms, development services and consultants.

If you still have questions about ai recruiting or any other AI solution, we would like to help:

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





How To Defrag Windows 10 In 2023 (A Complete Guide)

Windows 10 is the most popular desktop OS in the world right now and Microsoft is continuing to improve it. However, there is a growing perception among users that Windows is not on par with other operating systems and the performance deteriorates over time. It’s true to some extent as it does have some underlying issues like disk fragmentation, BSOD, and various other Windows-specific problems. In this article, I will discuss the problem of fragmentation and share some easy steps to defrag Windows 10 to make it faster. So without wasting any time, let’s first briefly understand what exactly defragmentation is.

What is Defragmentation?

To understand defragmentation, we need to begin with fragmentation first. In simple terms, fragmentation is a process of spreading data across different sectors of the hard disk. It usually happens when there is no contiguous block of memory available to store a file. In such situations, the file is split into several data chunks and spread across different blocks of the hard drive. And defragmentation is, you guessed it right, a process to bring the scattered pieces of data at one place.

Fragmentation is not much of a problem if you have an ample amount of free storage on your PC. However, when there is a space constraint, it becomes harder for the hard drive to allocate data in contiguous blocks. The problem becomes worse when files are moved, deleted or modified from the hard drive over a long period of time.

In such cases, the data is spread across different sectors of the hard drive. It essentially means, the hard drive takes a long time to access the scattered data bringing the read/write speed and overall performance down. So we should defrag Windows 10 periodically so that chunks of files are kept closer to each other. And as a result, it will speed up your Windows PC.

Should You Defrag Windows 10?

It will open the Defragmentation window. Here, you can check the details of the last defragmentation under the “Last run” label. If Windows 10 is defragmenting the hard disk according to the schedule then you don’t need to do anything.

Keep in mind, you must not defrag Windows 10 if you are using a solid state drive(SSD) laptop. SSD is built on a different technology than mechanical HDD. SSDs have limited read/write count and regular defragmentation will further decrease its lifespan. So you should absolutely NOT defrag Windows 10 if you are using an SSD. To find out the type of memory storage, open the Run window again by pressing Windows and R key. After that, type dfrgui and hit enter. Here, under the “Media type” label, you will find the required information.

Having said that, if you are not happy with the scheduled defragmentation or want to manually defrag Windows 10 then move to the next section to learn about the steps in detail.

Defragging Windows 10 in 2023

If you want to manually defrag Windows 10 then here are the three different ways to do it. You can choose any of them based on what you find convenient. So without wasting any time, here we go.

1. Defrag Windows 10 with the Inbuilt Tool

As we already know there is an inbuilt tool to defragment Windows 10. Here, we will learn how to manually analyze the hard disk and then defragment it. You can also configure various settings related to defragmentation. Here are the steps to do it.

1. Open the Run window by pressing Windows and R keyboard shortcut. Here, type dfrgui and hit enter.

3. Windows will start the defragmentation process. Do note that the time to complete the process will depend on how long you have been using your PC. You will get a better idea of the degree of fragmentation under the “Current Status” label. The lower it is, the better.

2. O&O Defrag

Install O&O Defrag (Free, Premium version at one-time purchase of $29.95)

3. Other Third-party Defragmenters

There are a few modes available on Auslogics Disk Defrag which I found interesting. Among many other things, you can run the defragmenter stealthily in the background without slowing down your PC. If you are using a hard disk without much space, this mode can help you combat fragmentation in real-time. So to sum up, if you want to defrag Windows 10 without any fuss, both the utilities are pretty good and you can choose either of them.

Install Defraggler (Free, Premium version at one-time purchase of $24.95)

Defrag Windows 10 and Speed Up Your PC

As we went through the article, we can see that fragmentation is no longer an issue on Windows 10 since automatic defragmentation has become a part of the OS. Still, if you want to manually defragment Windows 10 then you can very well go ahead and do it. Also, you can use O&O Defrag if you want to dive deeper into the sectors of the hard disk. If your PC is still slow after the defrag, you might have a differnt problem. In such a case, you should try to reset your Windows 10 device and set it up from scratch. But before you do that, remember to create a backup so you don’t lose your data.

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