Automating Data Entry and Analysis Doesn't Need to Be Difficult

The business world has evolved so much from what it once was in the past. Where once it was just hard work that would often lead to success, hard work isn’t enough anymore.

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Businesses can rise or fall based on what they manage to do with their data. Being able to automate data leads to results without a huge use of automation.

One of the main goals of data automation is to actually share and use data for the correct audiences. Whether a person is looking for tools to assist in data automation, or looking to perhaps start a career in it, getting a strong understanding of the basics is a great idea. The following article works to help explain what exactly data automation is and the tools to make it work.

What is Data Automation?

As mentioned, the concept of data automation is taking analysis of data out of the hands of people and into the “hands” of computers. They filter through huge amounts of data to find out what is important and what is not relevant. The important data is then used to help perform actions. From a practical perspective, there’s a lot of good that data automation can be used for.

One of the best ways that data automation can be put into effect is through warnings. Applications can take the data from weather or news alerts and broadcast warning to people about security threats or severe weather like tornados. With these kinds of dangerous moments, every second can count.

Data automation from a business perspective can take on a different meaning. This automation can look at data and assist in interacting with customers. It allows for marketing campaigns to be individually compiled and generated. It allows for automated communications to be sent to check in with them. The best way to describe data automation is that it allows people to be more efficient and delegate time consuming data driven tasks to computers instead.

Tools for Data Automation

There are many different tools which are used for data automation. These tools need to be flexible and often require a developer in order to use them properly. There’s not a lot of plug and play options. Data automation tools can work to both process data and complete the response aspects as well. Many of these are frameworks that turn into programs after the tough work of a developer. Some of the open source options for data automation include:

  • Apache Hadoop
  • KNIME
  • Rapid Miner
  • Cassandra

What Are Some Data Integration Tools?

Data integration is a subset of the data automation field. Data integration tools work specifically to sort through and filter data. They take it and turn it into usable information for data automation tools to produce tangible results. Data Integration tools are very different and often require some modifications depending on how a company collects data and how it plans to use it. Some of the best potential tools are:

  • IBM Infosphere - One of the best enterprise level data options, it’s strong in handling metadata and can be integrated across many different companies. IBM has certainly been a name to trust for a long time.
  • SAP Data Services - This service uses the Tableau platform. It does a great job at performing analytic reports quickly and produces great visualizations to assist in understanding.
  • Oracle Data Integrator - This is another tool that is designed mostly for enterprise level data management and true “big data” situations. It’s best run by administrators with a strong knowledge base as it can be difficult for the layman.

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