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5 Best Practices for Training Remote Employees

Few modern companies could operate without some element of remote working. Remote employees enable a company to get the best people, without the barriers of location or the cost of transport and office space. There are undoubted benefits to remote staffing. Managed well, remote employees can augment your business’s available skills and productivity. 

But how do you ensure that remote employees are well-trained enough to play their part in your company’s success?

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As with in-person tuition, training remote employees requires a good teacher, great materials, and reliable technology. But remote training has some unique considerations and best practices that are worth considering. 

We’re going to look at five best practices for training remote employees that a business must get right.

What are the advantages of remote training?

Because remote working is embedded in the way most businesses operate, firms have adapted processes and procedures to serve remote employees, even offering remote work stipends to help new hires optimize their home work environment. As well as ways to onboard remote staff, video meetings, and flexible hours, companies have changed the way training is conducted. 

These changes have been necessary, but remote training also has clear advantages for the business as a whole.

Available anywhere

Training delivered remotely doesn’t need a classroom. It’s available to any employee no matter where they are located. This is as much an advantage for remote workers as for in-house staff based in different locations.

Saves time

Recorded sessions, available when it suits the individual remote worker, meaning they can easily accommodate training into their day. Multiple staff members can also study the material at any time, removing the necessity of booking a room at a certain hour. Even for live sessions that do have a set time, employees can watch a recording, and send in any questions before or afterwards.

Personalized and flexible

With the online training software now available, running remote training sessions can be both personalized and flexible. Topics can be divided into digestible segments that remote workers can access when convenient. Employees can also receive sessions tailored to their particular roles and needs. 

Provides data 

A huge advantage of online training sessions is that data gathered from interactive activities and tests, can easily be logged. This data provides a clear picture of where employees are doing well or struggling, and where they might need extra training. Data also shows how well the learning materials are doing their job, and where improvements are needed.

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Free to use image sourced from Unsplash

What are the challenges of remote training?

It’s unrealistic to paint a picture of training remote employees as always seamless. There are practical challenges to not having everyone in a room together. A trainer can’t spot those who are falling behind so easily. 

Employees can’t work together on activities as comfortably in separate locations. Different time zones and shifts mean employees are often studying alone, without input from fellow learners, and having to compete with the distractions of their home environment.

Technical issues

The biggest challenge of training remote employees is getting the technical support right. Learners can unwittingly be on mute, content can’t be viewed properly on-screen, or audio isn’t clear. Sometimes recordings of sessions aren’t enabled or subtitles are missing or incorrect.

Content lacking

The quality of learning materials is an issue for both in-person training and remote sessions. But quality is particularly vital for online learning. Without the presence of a trainer and their ability to interpret and enliven the content for learners, the materials will have to work much harder. 

Information inaccessible

With remote employees, each learner will be accessing the training materials separately from their home; this can add an extra challenge. If learning content isn’t logically and centrally stored, where each learner can easily locate it, it can lead to training being missed or incomplete. It can also make the learning experience frustrating and demotivating, and can waste employees’ valuable time.

Hard to Monitor Learning

When learners are not in the same physical space as their trainer, it can be much harder to monitor exactly how they are progressing. Tests and activities can help, but that simple human ability to look at a person and see that they are confused or struggling is absent. It’s also much harder to gauge which learners are falling behind and which are leaping ahead.

A trainer simply can’t supervise the learners in the same way as with an in-person class, and this has to be carefully factored in when designing remote training sessions.

How do you train remote employees? 5 best practices

We’ve looked at the advantages and the challenges of training remote employees; now let’s focus on five ways you can ensure your remote staff get the training they, and your business need and deserve.

1. Plan and set clear goals

Whatever the nature of the content you want to share with your remote team, whether it’s hardcore technical training or softer skills such as time management for remote workers; planning and setting goals is a must. 

Even a social or introductory section of the course should have a purpose, i.e, to introduce the topic and help learners familiarize themselves with the course structure.

Every aspect of the training you design should have clear objectives which are measurable. Short tests or quick, fun activities can follow each segment to make sure objectives are being met.

Be realistic about what a learner can digest and accomplish in a particular time-frame. Make a schedule that will impart all of the content at a pace that a person can comfortably fit into their busy working day.

Free to use image sourced from Unsplash

2. Include orientation

Nobody likes starting a task without having some idea of how long it will take and what will be involved. Make sure your learners have a clear plan of the time commitment and style of the activities before they start. 

Establish where to get technical help, supply secure remote support, and let learners know how to ask a question or raise a concern. Show them some examples of the type of activities you are expecting them to do, how to complete them, and what to do if they have any difficulties.

Above all, try the whole course out for yourself, put yourself in a learner’s shoes. Make a note of anything you would like to know or need to have explained. Include all of this in an orientation package.

3. Make content engaging

Great content should be tailored to the learner’s needs and style of learning. The materials should be engaging and user-friendly, and specific to the job requirements. Info dumping, in other words giving employees pages of text to read is not advisable.

Interactive content helps learners take in information and apply what they have learned.

Variety of content keeps learners engaged. For example, videos, games, stories, and audio content, as well as short texts. Longer texts can be broken up or downloaded to read later.

Include a social element, even for employees who are not studying at the same time. A chat facility can be accessed at any time, and can give learners the chance to talk to each other and exchange questions and observations.

Source: Pexels

4. Ensure access

Making sure employees have access to technical support with a remote desktop connection manager is key. Check that each employee’s home tech setup is suitable and that sessions function on multiple devices in case one fails to work. 

Ensure all relevant links and passwords are sent to learners ahead of time. Give them ample opportunity to iron out any access hitches before training begins. Everything they will need in terms of content should be stored in a logical, intuitive manner, with clear instructions about how to access it sent in advance.

Consider creating a cheat sheet with all the most important elements learners will need to access the virtual classroom. Include passwords and the locations of the most relevant materials.

Above all, accommodate every learner, and find out about disabilities and special requirements well ahead of time. Send a questionnaire to assess your needs before designing your training sessions.

Additionally, make sure to pay special attention to the onboarding experience for new remote employees. A well-structured onboarding process is crucial to ensure they start their remote work journey on the right foot and feel integrated into the company culture.

To ensure a seamless implementation of these best practices, collaborate closely with your coworking space manager or shared office management, if applicable, to accommodate the unique needs of remote employees in these environments.

5. Track results and collect feedback

Another advantage of the virtual classroom is that it provides data. This is valuable not only in tracking your learners’ progress but also in improving future training. Post-training surveys provide insights into where learners got the most out of the training and where they needed better content. 

If data shows learners all struggled in one particular area, this guides you to run more training for all employees on that topic. However, if only a few had challenges, it’s an opportunity to reach out to those individuals, providing additional help.

Ask what learners enjoyed the most about the training, and find out if there were any other areas not covered in the sessions that they would like help with. This information can steer you to design more useful and fulfilling future training.

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Effectively train your remote employees 

There are undoubted challenges in training a remote workforce. It can be hard to create the buzz and connectedness of having everyone together in a physical space. But as we have seen there are also many advantages.

Your remote employees are as integral to your business as those you see at the coffee machine every day or share an office with. Remote training, effectively designed, planned, and executed, can help the business and its employees wherever they are based, have the skills and know-how to work towards a common goal.

Featured image by LinkedIn Sales Solutions on Unsplash

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An Introductory Guide On How To Do Web Scraping: Extracting Data From Your Website

Web scraping is a great solution for those looking to access structured web data from websites containing large amounts of invaluable information.

Also known as web extraction, web scraping is a tool that helps you to gain information on products, contacts, and a lot more, even when a website doesn’t have an API (application programming interface), or grants limited access to its data.

 Web scraping offers a faster, more practical solution for extracting data from a website, instead of having to use the same format as the website in question, or even just copying and pasting information manually.

What is web scraping?

Web scraping is the process of gathering structured data into a spreadsheet or other file, but in an automated way. In the same way that a person can manually copy and paste information from a website into a document, web scraping performs the same function, just on a different scale. Web scraping also performs this task incredibly efficiently, extracting up to billions of data points through intelligent automation.

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It is often used by businesses and individuals looking to make use of the huge amounts of information available on the web, implementing web scraping into their data management scheme. This information can be mined to help a company to make smarter, better, informed decisions. 

Data scraping is particularly valuable, in fact, for companies looking to gather data on specific, niche topics. This data can then be utilized in your marketing strategy, where you might be considering the best niches for affiliate marketing.

Web scraping can be used for more than business intelligence however, as it can reveal insights into pricing and price comparison sites, Google Shopping related metrics where product data from an e-commerce site is sent to another online vendor, and can even help find sales leads and conduct market research. It has many benefits and many uses, though it is not necessarily always a simple task.

This is because websites can often be very diverse, coming in several different formats, shapes and sizes. As a result, you will find multiple different kinds of web scrapers, which all offer different functions and features. This is similar to the way in which there are multiple different kinds of mobile data collection apps to pick from.

Is web scraping a crime?

Web scraping is not illegal when it is used to mine public web data. However, it is important that you follow the prescribed rules, and avoid scraping information that is not available to the public. Scraping this data is illegal, and has become a rising crime with multiple recent cases of illegal web extraction occurring.

Though web scraping is a tool with many valuable features, it can be abused. A very common abuse of web scraping is through email harvesting. Scraping data from websites and social media can enable a person to harvest people’s email addresses, which can then be sold on to third parties and spammers for a sum. Harvesting data with commercial intent is illegal. 

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It is important that you remain aware of the darker side of web scraping and the importance of only harvesting data, or even emails acquired through an email finder, that is publicly available.

This also helps demonstrate why webpage defacement monitoring on your own company websites and personal blogs is so important.

How do web scrapers work?

Whether you want to learn to perform data scraping yourself, or are looking to learn more about it before you outsource the job to a data extraction specialist, it’s really important that you understand how it works, and the difference between web crawling and web scraping.

Web scraping works by first choosing the URLs you want to load before you begin scraping. You need to load the whole HTML code of that page in order to continue. If you outsource to a specialist or learn to do it yourself, you can go as far as loading the entire website, including all the Javascript and CSS. However, this isn’t necessary to perform web scraping, so don’t worry about it too much, especially if you are a beginner.

Then, the scraper extracts all the data on the page. However, you can choose what specific data you want to extract. This is performed when you only need specific information, and aren’t interested in the rest of the data on the page you are scraping. 

Then, all the data is outputted. This is done using the format that the web scraper has chosen, depending on what format will be most useful to the individual. Usually, data is output as an Excel spreadsheet or a CSV file, but more advanced web scrapers are also able to output data in other formats such as an API or JSON file. 

For more on learning to manage and organize your data: DataBricks Apache Hive articles.

What about web crawling?

Web scraping and web crawling go hand in hand. Web crawling comes before web scraping, and involves artificial intelligence that searches the internet to look for content, indexing it. 

This process finds the relevant websites and URLs that are then passed onto the web scraper, who uses them to mine information.

Web scrapers are specialized tools, designed to extract data from websites. There are four main types of scrapers, and they differ widely from one another.

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Types of web scrapers

Broadly speaking, web scrapers can be distinguished by placing them into four categories:

Category One: browser extension vs software

Generally speaking, web scrapers come in one of two forms, browser extensions and computer software. Browser extensions are simpler to run and are integrated directly into your browser. Like apps, they are programs that can be added to your browser (such as Firefox or Google Chrome). Some of the other best chrome extensions also include messaging extensions and ad blockers. 

However, these extensions are limited in that they ‘live’ inside of your browser. This means that advanced features are usually impossible to implement. On the other hand, scraping software can be installed onto your computer with a simple download. They enable more advanced features (not limited by what your browser can do), making up for the fact that they are a bit less convenient than browser extensions. 

Category two: self-built vs pre-built

Anyone can build their own web scraper. However, even in the implementation of tools that help you build a web scraper, there is a certain amount of coding knowledge needed. The more features you want to add to your scraper, the more knowledge you will need to have, as complexity increases accordingly.
On the other hand, you might want to opt for a pre-built web scraper that you can download and start using straight away. Some will offer advanced features (already built-in) such as Google Sheets Exports and more. This is a good option for those who have little familiarity with coding. If this seems enticing, consider learning more from databricks’ Introduction of hadoop to get you started.

Category three: User Interface

A user interface (UI) can vary depending on the web scraper. Some web scrapers have a full on UI, with a fully rendered website that users can click on and scrape. If you have little technical knowledge of coding and how scraping works, then this is a good place to begin.

The alternative – a user interface with a minimalistic UI and command line – might feel less intuitive and more confusing to a beginner, and might be worth avoiding if you are only just starting out.

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Category four: Local vs Cloud

This is all about where your web scraper is doing its job from. 

A local scraper runs using resources from your own computer and the internet. This can result in your computer becoming quite slow whilst it is scraping data, especially if it has a high usage of CPU or RAM. This can make your computer pretty much useless for other tasks whilst it is being used to scrape.

On the other hand, cloud-based web scrapers run using off-site servers provided by companies that develop scrapers. This gives you the ability to use your computer freely as its resources are not taken up by web scraping. You simply get notified when the data harvesting has completed.

How to do web scraping

Although the process, in itself, is fairly straightforward, it becomes complicated the minute your project grows to any significant size. As a result, it is often easier to outsource the job to a company of professional web scrapers. However, it is still interesting to understand the process of DIY web scraping, alongside learning about other forms of data collection.

Firstly, you need to identify the target website you are interested in scraping (a web crawler can help you do this). Let’s take websites for free stock videos as an example.

Then, collect all the URLs of the pages that hold the data you are looking to extract, namely on visual stock content.

Once you’ve done that, send a request to these URLs asking to be granted access to the HTML of the pages in question.

Then, once this is completed, use locators to find the data within the HTML.

Lastly, save said data in a CSV or JSON file, or in any other form of structured format that suits you. And just like that, you have a large amount of data on stock videos, all saved in one place.

If this seems like a tricky task, then an open-source web scraping data tool might be the right step forward for you. Or at the very least, a HDFS file system (what is HDFS in hadoop).

Conclusions 

Whether or not you plan to implement data scraping yourself or outsource to a specialist, it is important that you understand the process – it’s only going to grow in importance and popularity as more companies seek to make the most of the data that is available on the internet.
Without this valuable data, a company can never hope to make sense of a customer’s ecommerce journey, thus serving a vital purpose within a retailer’s repertoire of tools.

The post An Introductory Guide On How To Do Web Scraping: Extracting Data From Your Website appeared first on noupe.


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