The data warehouse is an integral part of business intelligence as we know it today. Without it, BI just cannot function at its optimum.
Of course, if business intelligence fails, then complex questions surrounding your business data will go unanswered. To ensure that it does not happen, the data warehousing cloud is one of the most secure methods to store and centralize data. Most importantly, you can access the data quickly find answers and make informed business decisions whenever you need to.
Let’s deep dive a little more into the concept of data warehousing and business intelligence.
What Is Data Warehousing?
Simply put, the job of a data warehouse is to gather and store data, both structured and unstructured that comes through from multiple sources. The function of a data warehousing cloud is similar to storing this information in a digital vault.
When you have volumes of data to manage, data warehousing makes it easier to access the information, extract insights and important historical data or timely data feeds into an integrated format as and when required.
Moreover, data warehousing can also be used for business reporting and generating relevant analytics. For this, business enterprises need to develop an integrated data strategy and combine it with relevant business intelligence practices.
What Is Business Intelligence?
The process of data collection, methodology, organization and evaluation and presenting the information in a manner that is easily understandable by employees may be referred to as business intelligence. But that’s not the only role of business intelligence.
BI allows business enterprises to facilitate better and strategic decision making. You have the opportunity to explore several options basis data backed past performance and research and choose to take the business forward with the aim of achieving the overall organizational objectives and goals.
What Is the Interconnectivity of Data Warehousing and Business Intelligence?
The data warehouse is the very backbone of data storage as far as business intelligence is concerned. This is because BI is dependent on complex queries and comparing several data sets all of which together facilitate everyday decision making for any organization.
To enable and optimize the process of business intelligence, the enterprise has to focus on three principal tasks – data wrangling, data storage, and data analysis.
Data wrangling generally involves the process of extracting, transforming and loading technologies whereas data analysis can be easily executed using specific business intelligence tools.
What holds both these processes together is data warehouses. It serves as a data storage facility that simplifies the integration, summarization and transformation of data. In the end, the process of data analysis becomes easier.
How Can Data Warehousing and Business Intelligence Work Together?
Often, data silos are a common occurrence in business enterprises were departments function in isolation or on legacy software. Information sharing is absent which leads to a lack of resource planning.
Data warehousing and business intelligence are critical functions that enable the enterprise to operate at its integrated best. When used effectively they can help align every vertical of the business that is supported by a data-driven operation.
If you are convinced of the benefits of data warehousing, check out the data management offerings by MDSap.