A Brief Note on Data Collection

Authored by Ameex Technologies on 18 Apr 2022

What is Data Collection?

Data Collecting is the act of obtaining, measuring, and analyzing correct data from several relevant sources. Data Collection can help you to find solutions to your business problems, answer critical issues, evaluate all outcomes, and forecast trends.

Why is Data Collection Important?

The information that you collect directly from your customers or clients is referred to as first-party data. First-party data, also known as primary data, could be the information that you have acquired from your web properties or the data that has been stored in your customer relationship management system. First-party data is usually the most accurate and reliable.

Another company's first-party data of customers or clients is referred to as second-party data. You can acquire second-party data directly from a company that has made the effort to gather this information. This is usually from a variety of sources (by a corporation) with several data points.

How do I collect this Data?

The most important steps pertaining to the data collection process are:

  1. Set project goals bearing in mind the domain you serve 
  2. Define the kind of data you need to acquire 
  3. Identify these data sources 
  4. Prepare a data collection strategy   

What happens after Data Collection?

  1. Discover your target audience
  2. Understand and segment your audience based on the location, channels they prefer to use, devices they are most active on, their interests etc
  3. Create an impact with whatever you have to offer

What are the challenges I could face?  

  • Issues with data quality - Errors, inconsistencies, and other difficulties are common with raw data   
  • Obtaining relevant information - With so many systems to navigate, getting relevant data to analyze may be difficult for data scientists and other users in the company 
  • Choosing which piece of information to acquire - This is a critical issue for both upfront raw data collection and data gathering for analytics applications 
  • Dealing with a large amount of data - In most big data contexts, there is a mix of structured, unstructured, and semi-structured data in vast quantities 
  • Low response rates - Low response rates and other concerns raise concerns about the validity of the data acquired 

To know more about data collection or for data analytics services contact Ameex! The profound insights of our specialists can transform your business into a game changer.