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Today, data makes the world go round. We all use data in some way in our personal lives, whether it is to decide what we should do or what we should buy, or even what we should eat. When it comes to business, the use of data determines the chances of survival. Businesses need data to recruit their human resource, streamline their internal processes, and efficiently reach and expand their customer base. Data is to businesses what water is to humans: nothing can happen without it.

Why Is Data Automation Important?

Think about the various scenarios where data is needed: If recruiting for your company, you need to go through different job seeker portfolios on multiple sites to get the right candidates. If you are a content creator, you need instant feedback from various data sources so you can keep up with the trends. And if you are a tech innovator, the most current data is necessary so you can fill the service gaps that crop up.

People are always connected to the internet both privately and professionally, generating tons of data in the process. Currently, the amount of data in the global sphere stands at an annual 59 ZB (zettabytes). All data is important in some way, but not all of it is important for your business. Manually sifting data will have you lagging behind the dynamic environment of the online space. In the end, you will be unable to properly analyze the data you access in time to take advantage of opportunities.

Data automation is a concept that has been around for decades, implemented in processes like manufacturing to increase efficiency. Today, internalizing data automation means to collect and analyze data from a business’ full ecosystem, i.e. the data produced from internal processes and that produced by the community you serve, i.e. customers, middlemen, suppliers, and other forces in the market. The result is more fact-based and purpose-driven business decisions that take full advantage of market opportunities.

How to Internalize Data Automation

How can you go about internalizing data automation for your business? Each business is unique and a data automation system in one entity might not be the same needed for yours.

However, there are some questions you can ask to tell what the shape of your internal data automation process should look like. These are:

  1. What challenges would I solve by automating data and what would I like the solution to look like?
  2. Do I have access to the data being produced within my operations and externally?
  3. Have I installed the right infrastructure to ensure seamless data-on-demand?

At the end of the day, all businesses aim to be more productive while reducing wastage. Internalizing data automation makes this possible and is something we are passionate about here at Dviz Technologies. We are a growing data automation company that provides a variety of data automation solutions for marketers, tech companies and marketplaces. In future posts, we will share with you our approach to data automation while using real-life data automation examples to show you why you should internalize this process as soon as possible.


Data automation evangelist and founder of Dviz Technologies.