Data Warehousing

A data warehouse is a system that stores data from a company’s operational databases as well as external sources.

The amount of data that businesses are generating is exploding. In the past, businesses only had to deal with data from their internal systems. But now, they are also collecting data from customers, suppliers, partners, and even devices like sensors and wearables. This data can be used to gain insights into customer behaviour, identify trends, and make better business decisions.

Data warehouses make it easier to analyze this large amount of data. Traditional data warehouses were designed to store and process structured data. But with the rise of big data, businesses need to be able to store and process unstructured data as well. Cloud-based data warehouses are well-suited for this task, as they can scale to handle large amounts of data and provide the processing power needed to analyze it quickly. Many global corporations have turned to data warehousing to organize data that streams in from corporate branches and operations centers around the world.

Data warehouses serve as a central repository for storing and analyzing information to make better informed decisions. It helps by providing a centralized repository for data and data warehouses make it easy for businesses to access and analyze data from different sources. This information can be used to identify trends, spot problems, and make better decisions about everything from marketing campaigns to product development.

Data warehouses can help businesses make better decisions by providing access to historical data and insights into customer behaviour. Since, it is under a centralized storage system that allows for the storing, analyzing, and interpreting of data in order to facilitate better decision-making.

Under the technology of Data warehousing, it is able to collect entire organizational data and information extracted from operational sources and external data sources. Data can originate from diverse sources, such as relational databases, transactional systems, web services, or external APIs.

This information can be used to identify trends, spot problems, and make better choices about everything from marketing campaigns to product development. It can help businesses save time and money by automating tasks such as data integration and reporting. This frees up employees to focus on more strategic activities.

Going forward, Data warehouses can be used to track customer interactions and identify trends. This information can be used to improve customer service by providing personalized recommendations and resolving issues more quickly

S Mohini Ratna, Editor, VARINDIA