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Data extraction refers to companies extracting information from a variety of sources, including databases, legacy systems, online transactions, software as a service (SaaS) platforms, web pages, and more. The data is then stored for data analysis.
Any type of work with data starts with extraction. However, if you do it incorrectly, it might end there too. Everybody realizes how essential it is. But where does one start?
You can extract both unstructured and structured types of data. While the latter will not require any additional categorization, unstructured data most likely will.
However, AINSYS extraction tool will structure your data in a correctly formatted Google Spreadsheet. Our instrument will not only gather all the information required, but it will also automatically update your spreadsheet anytime new data is received.
Two major ways to extract data are the incremental method and the full one. One isn’t always better than the other, and both can play a crucial role in your pursuit of business logic.
In the full extraction case, data are randomly pulled from a source. It’s only helpful if you want to establish an initial dataset that you may want to modify. You might not need incremental extraction if the data source offers a means for automatically updating or notifying changes after extraction.
However, the incremental method includes applying specific logic for changing databases. For example, the AINSYS instruments allow additional structuring and enrichment of the received data. You can also upload this data elsewhere automatically, without data security being compromised.
Just as most automated data extraction tools do, ours fall into three categories:
Automated data extraction tools will help you to make decisions faster, avoid human errors, and increase productivity.
Extracting data is a part of a bigger picture, the bigger picture being the ETL process, where data is extracted, transformed, and loaded into another system for data analysis.
AINSYS not only provides a multifunctional tool for extracting data and loading, but also a transformation one, thus shedding that responsibility on your part as well.
Last but not least, we will make sure that your database is updated to comply with your organization’s needs and the specifications of its data storage system. We will provide converting all data types to the same format, fixing inconsistencies and errors, combining data pieces from two or more data models, incorporating data from additional sources, and ways to transform information.
