×

Download Our Latest Case Study

Explore how we helped India's leading lifestyle retailer use Big data solutions to track online presence and run competition analysis!!!

Name
Contact information

PromptCloud Inc, 16192 Coastal Highway, Lewes De 19958, Delaware USA 19958

We are available 24/ 7. Call Now. marketing@promptcloud.com
What is data parsing
Avatar

What is data parsing, we can simply put is converting unstructured data into a specified data format. When data needs to be processed for the desired outcome, converting a string of data to be compatible with current requirements is essentially data parsing.

For example, data parsing would be implemented if an organization wants to review all its stationery expenses in a year by combing through invoices in different currencies. Different regions have specific formats of depicting numeric data which can affect how the software interprets them. For accuracy, only numerical values without any special characters (commas, periods) will be extracted for further processing. This conversion of a string of data into a format readable by a machine is one of the applications of data parsing.

Another simpler application of data parsing would be converting a raw HTML file that is difficult to interpret into a readable text file. In today’s age where companies deal with huge bucketloads of information, understanding and interpreting data can pose a major challenge. Industries such as Healthcare, E-Commerce, Banking, and Finance, require instant access to customers’ information that humans can comprehend in real-time. Data parsing provides an effective solution to these problems.

How Data Parsing Adds Value

In a digital-first world, most people’s interactions with businesses occur online. From a company’s perspective, only hoarding customers’ data doesn’t add any value. The unstructured data must be converted into a structured intelligible form for computers to interpret and process, which humans can then understand.

Moreover, incorrect data attributable to human error or incompetency can have enormous repercussions. In 2013,  US organizations were hit with over $7 billion in IRS civil penalties due to incorrect income and employment values reports. The same report shares insights that 27.5 percent of working professionals reported incorrect data had been manually entered into their enterprise software at their workplace.

Though this case alone makes a convincing argument for the importance of data parsing, there are more benefits to it than from a legal viewpoint.

Fast and Accurate

Employees don’t have to put in countless hours sorting through manual data to retrieve insights useful to the business. Not only it is a painstakingly intensive process, but a waste of time and resources. Data parsing techniques provide the same outcome in a fraction of the time and with higher accuracy.

Cost-Efficient & Low Investment

A data parsing tool is a relatively low investment compared to the alternative of having a team only sorting through data. A software or skilled developer crew performing data parsing as one of their functions can yield better results and over time create more impact.

Data parsing itself creates easily understood information, hence no specific skillset or extra training is required to read the parsed data.

Greater Visibility

One of the main applications of data parsing is to simplify data and understand the big chunks of information an organization may have. Incoherent data can be transformed into intelligible insights that can help multiple business functions – marketing, sales, finance, and even HR.

Data Parsing’s Relevance in Today’s Market

Most industries require parsing data in some shape or form. Real estate, Financial Services, and the up-and-coming Food Delivery sector rely on well-structured client data for their operations. Transforming data into a readable format for easy access is a game changer for most businesses. Data parsing gives companies a competitive advantage over their peers as there is no trade-off between manpower constraints and staying cost-effective.

Extracting Valuable Information from Emails

For an organization receiving several hundred emails daily, going through every email to filter its relevance – important communication or junk email – and obtaining essential information from the message is quite a tedious process. It is also immensely time-consuming with a high possibility of human error.

Data parsing can scan emails without opening each email thread by searching for keywords that are of interest. It can condense this information into relevant chunks and provide a greater understanding of what’s being communicated without having to read every email. A data parsing solution relieves the ineffective method of manual labor by providing the required data from the email to the user within minutes.

Tailored Marketing Campaigns

Businesses receiving a high volume of customer data through their platforms cannot realistically look through the data of each user to make informed decisions. Data parsing can provide a remedy by pulling required information from customer data to be grouped into similar persona sets. This allows business to customize their marketing campaigns and target individual customers based on their profile, likes, and dislikes, reaching their desired audience demographic. Alternatively, the same solution can be used for product data to perform analysis and competitor benchmarking.

Financial Reporting

The business and finance sectors require accountants to sift through customer data and develop realistic financial models. A data parsing tool would meet the requirements of scraping and extracting useful data, used by accountants to analyze and create financial reports. As any error in the data can completely skew the reports, data parsing provides a full-proof solution to manual sorting.

Scanning Resumes

Another useful and important application of a data parsing solution is to scan the curriculum vitae (CV) of candidates for a job listing. Recruiters can be drowned in resumes for a single available position, making it increasingly difficult to review each one and select suitable candidates for interviews.

Data parsing alleviates their burden by utilizing specific requirements to look for candidates who are a close match. These requirements can be certain skills, experience, and education, defined by the recruiter to refine the results and only select talent meeting the criteria.

Conclusion

For companies interested in web crawling to obtain real-time data that can optimize their business strategies, data parsing would be one of the solutions implemented in the process. The applications of such a tool support a wide range of requirements and industries. Data parsing solutions can improve overall efficiency and provide reliable data for analysis.

When integrated as a part of the web crawling process, the results can be optimized to serve the business needs and goals of your organization. To know more about our web crawling software, please get in touch with sales@promptcloud.com

Sharing is caring!

Recent post

How to Scrape Website Data without Coding
  • November 21, 2022
Analyze Data Using Azure Web Scraping
How to Analyze Data Using Azure Web
  • November 15, 2022
Web scraping airline data
Web Scraping Airline Data – A Boon
  • November 9, 2022
web scraping with google sheets
Using Google Sheets as a Basic Web
  • November 7, 2022
web data crawling
Setting up Web Data Crawling APIs –
  • November 2, 2022
Open-source web scrapers
How an Open-Source Web Scraper is Useful
  • October 31, 2022
Click on Contact Us below to Get started with your Project Requirements

Are you looking for a custom data extraction service?

Contact Us