Week 3 BALT 4361- Where Does Data Come From?

 In the modern world, data is necessary for businesses to expand and make well-informed decisions. Effective management of data requires an understanding of its sources and methods of collection. Structured and unstructured data are the two primary categories. Like in databases and spreadsheets, structured data is arranged in tables and is simple to examine. Emails, social media posts, and videos are examples of unstructured data that defies standard formatting and necessitates the use of sophisticated tools like artificial intelligence (AI) for analysis. Predictions and customer sentiment analysis are two applications that benefit greatly from this kind of data.

Data may originate from external sources, such as social media or government datasets, or from internal sources, such as sales or customer records. Businesses employ a variety of techniques to collect data, including surveys, web scraping, and APIs that facilitate data collection and system-to-system sharing. IoT sensors and devices are proliferating, gathering data in real time across sectors like smart cities and agriculture. Because they enable companies to automate procedures and make better decisions more quickly, these technologies are exciting.

For decisions to be dependable, data quality is essential. Data must be precise, comprehensive, consistent, timely, and pertinent because incomplete data can result in errors. This is particularly true as businesses employ automation and artificial intelligence (AI), both of which rely on high-quality data to function well.

Organizations can increase productivity, make better decisions, and maintain their competitiveness by managing data effectively and making sure it is of high quality. Anyone navigating today's data-driven world needs to understand how data is gathered and used.

Picture1.jpg (1811×1096)