Data Extraction

Data Extraction for Your Business

Your ability to analyze and act on your business data is vitally important to the success of your organization. Today’s business environment requires organizations to react quickly to changing demands from customers and market conditions. When complex decisions require fast access to important data, you need a way to put your finger on the data you need NOW!

Often this requires extracting data from multiple sources and multiple departments or locations. Much of the data may be unstructured or poorly structured. Typical unstructured data sources include emails, documents, PDFs, scanned text, mainframe reports, microfilm and other sources. Extracting data from unstructured sources requires considerable time if done by hand; and considerable technical expertise and quality control when done using so-called automated extraction programs.

This technical challenge grows when historic data has been stored in software formats that are extinct.

This is where Paper Alternative comes in to save the day!

Data extraction is the process of retrieving data (structured or unstructured) out of various data sources for further processing and storage (data migration). This process usually includes the addition of easily searchable metadata and structure, along with relevant data workflow to enable newly acquired data to be incorporated into the system easily.

Adding structure to unstructured data may include:

  • Text pattern matching using string search algorithms. String search algorithms work by finding a place where one or several strings (also called patterns) are found within a larger string or text. Using text pattern matching enables identification of small or large-scale structure, for instance specific records within a report and their associated data
  • A table-based approach to identify common sections within a limited set of documents with similar or same headings. For instance, the HR department may extract specific job title and salary information from resumes and research.
  • Text analytics attempts to understand the text and link it to other information using artificial intelligence.

Ask us how Paper Alternative data extraction can solve your data access problem.