199 ) Why do we need Data warehouse, when OLTP application data already there ?

 199 ) Why do we need Data warehouse, when OLTP application data already there ? 

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 What is Datawarehouse

A data warehouse is a centralized system

that stores structured data from various sources

for reporting and analysis

Data warehouses can:

Consolidate data: Store data from multiple sources into a single source of truth

Store historical data: Store and analyze long-term historical data

Analyze data about a particular subject or functional area:

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Data warehouses are important for a number of reasons, including:

• Centralizing data

  Data warehouses consolidate large amounts of data from multiple sources into a single, central database. This makes it easier to analyze the data and gain valuable insights. 
• Improving decision-making

  Data warehouses help organizations make faster, more informed decisions by providing easy access to high-quality data. 
• Maintaining historical data

  Data warehouses can store months or years of information, which can be useful for trend analysis and forecasting. 
• Securing data

  Data warehouses store data in a single location, which makes it easier to control access and keep data secure. 
• Handling big data

  Data warehouses can help solve big data challenges by making large amounts of information more usable. 
• Optimizing for read access

  Data warehouses are usually optimized for read access, which can result in faster report generation. 

Data warehouses are a critical component of business intelligence systems and data pipelines