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6 Common automation mistakes you should avoid

Learn vital lessons from AINSYS: Avoid these 6 common automation mistakes for seamless business efficiency.

6 Common automation mistakes you should avoid

Automation technologies are advancing many fields, including artificial intelligence, machine learning, and more, and companies by leaps and bounds. For example, every single marketer you know uses some kind of automation software. Learning what common problems you might run into while implementing automation tech will help prevent them from happening in the first place.

1. Lack of integration

If you don’t treat this matter seriously, you can expect plenty of problems to arise: starting from not being able to switch to better solutions, dependency on developers who maintain your infrastructure, and security risks.

A proper integration framework will allow managing numerous business processes and IT tools to create a single central database. Here at AINSYS, we call it a Data Warehouse. Our integration tools allow you to hook new apps and store your structured data after the initial setup. We provide new ways for information to flow through the company, unlock data silos, and reduce routine operations, such as extracting and compiling data. This allows your employees to focus on more important and creative tasks.

2. Poor target audience defining

Assuming you know your target audience comes with certain risks and threats to your company. Regarding roles and responsibilities, top three target audiences will differ from one department to another (or even within teams). You risk missing a crucial one that could have a significant impact on your success, especially if you don’t spend enough time identifying all potential audiences and explaining to your teams why particular clients should become their priority. You might even find that a smaller subset of a bigger target audience is your best option.

It’s important to get input on what audiences to target from various teams. Otherwise, your employees will likely miss out on connecting with and identifying the company’s vision. However, automating processes with AINSYS can help your teams focus on defining target audiences and strengthening communication, instead of wasting time on repetitive tasks.

3. Deploying slow and inefficient automation software

For automation to become a risk-free endeavor, you will need to choose the best software.

AINSYS offers an opportunity to automate business processes through a no-code tool that could be used by everybody in your company. Every field and entity is readily available, while working in teams will become faster. You will be able to focus on data transfer and enrichment first since existing mature automation solutions will help integrate several formidable automation and workflow management tools.

The AINSYS platform will help you bridge gaps in communication between technical and non-technical personnel. Also, it will remove the burden of conducting system integration efficiently since it does not require writing complicated technical documentation or a lot of experience managing software development teams.

4. Little-to-no testing

Creating a hypothesis for your marketing campaigns and testing them out should be the number one priority for any marketing team. It’s crucial to regularly test every component of your hypothesis. Marketing testing methods include A/B testing, multivariate testing, user testing, and usability testing. Each one was created for improving performance and user experience.

Modern software has made testing and analysis easier than ever. With ready-to-use tools that now handle extracting data for you within minutes, you can analyze it and start making data-backed decisions faster.

5. Focusing on the wrong metrics

To start testing, you must carefully choose what metrics to measure and what data to extract. Focusing on the wrong ones can be a distraction and a waste of time. Keep in mind that no metric will be useful in every case because content marketing analytics are complicated and require time to study.

Only by selecting the measurement methodology that best suits your business model, will you be able to use metrics for improving results. Always be mindful of risks associated with data. Extracting data takes a ton of work. Getting insight from that data is even more complicated! Time spent gathering data might be better spent on more pressing issues, for example, identifying other tasks that need automation. AINSYS can help you gather data and metrics in Google Sheets.

6. Favoring just one automation strategy

Too frequently, specialists begin utilizing automation tools, concentrate on automating a certain set of tasks, and never go beyond what they already have. This way you miss ways to strengthen your presence on the market. Utilize every function that your automation software has to offer to run it as efficiently as possible. Examine your tools to determine which options make your life much easier.

With AINSYS, you don’t have to poke around software to learn about all its features, thanks to its seamless interface design. Also, our managers are ready to help you set up automation, and developers are happy to create an infrastructure that could advance your company. We can set up automated processes for any member of your team, minimizing confusion caused by repetitive tasks that distract us every day.

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