Data Ware House

A data warehouse is a central repository of information that can be analyzed to make better informed decisions. Data flows into a data warehouse from transactional systems, Relational databases, and other sources, typically on a regular cadence. Business analysts, data scientists, and decision makers access the data through Business  intelligence tools, SQL clients, and other Analytics applications.

In a data warehouse, data from many heterogeneous sources is extracted into a single area, transformed according to the decision support system needs and stored into the warehouse. For example, a company stores information pertaining to its employees, their salaries, developed products,customer information, sales and invoices. The CEO might want to ask a question pertaining to the latest cost-reduction measures; the answers will involve analysis of all of this data. This is a main service of the data warehouse, i.e., allowing executives to reach business decisions based on all these disparate raw data items. Thus, a data warehouse contributes to future decision making. As in the above example, a firm administrator can query warehouse data to find out the market demand of a particular product, sales data by geographical region or answers other inquiries. 

The Importance of Data Warehouse

Many global corporations have turned to data warehousing to organize data that streams in from corporate branches and operations centers around the world. Cloud-based technology has revolutionized the business world, allowing companies to easily retrieve and store valuable data about their customers, products and employees. This data is used to inform important business decisions. Data warehousing is an increasingly important business intelligence tool, allowing organizations to:

  • Ensure Consistency: Data warehouses are programmed to apply a uniform format to all collected data, which makes it easier for corporate decision-makers to analyze and share data insights with their colleagues around the globe. Standardizing data from different sources also reduces the risk of error in interpretation and improves overall accuracy.

  • Make Better Business Decisions: Successful business leaders develop data-driven strategies and rarely make decisions without consulting the facts. Data warehousing improves the speed and efficiency of accessing different data sets and makes it easier for corporate decision-makers to derive insights that will guide the business and marketing strategies that set them apart from their competitors.

  • Improve Bottom Line Data warehouse platforms allow business leaders to quickly access their organization's historical activities and evaluate initiatives that have been successful — or unsuccessful — in the past. This allows executives to see where they can adjust their strategy to decrease costs, maximize efficiency and increase sales to improve their bottom line