Using Data Warehousing to Improve Business Intelligence

Data warehousing is a critical piece of business innovation with the capacity to enhance the quality of BI efforts and gain diverse data insights in a cost-effective way. Data warehousing is the process of centralising, extracting and storing data in one or more databases, with each record having a primary key. This article will delve into the multifaceted benefits and future implications of using data warehousing for business intelligence initiatives.

Business intelligence is the process of collecting, processing and analysing data to deliver meaningful insights. Businesses use data warehousing to take advantage of the ability to extract, store and analyse data from a variety of sources. If used correctly, data warehousing can fundamentally transform the power of business intelligence.

Data warehousing processes can help optimise business intelligence efforts in a myriad of ways. Primarily, data warehousing enables faster access to data for reporting and analysis by centralising all information within the warehouses. As the demand for simultaneous analysis of diverse forms of information grows, this tool becomes increasingly valuable.

Organisations can also use data warehousing for predictive and analytical purposes. For instance, businesses can use data warehousing insights to perform advanced pattern recognition in manufacturing. This information can be used to optimise the efficiency of production lines while reducing material waste.

Having all relevant data stored in one central location simplifies the development of future business initiatives. The ability to craft intelligent and detailed plans of action using data warehousing supports opportune decision making by providing up-to-date insights to managers and other relevant stakeholders.

However, the greatest and arguably most important benefit of data warehousing is that it uncovers new information through groundbreaking data analysis. Hence, business intelligence can assist companies in adeptly using customer data to inform cross-sell and up-sell programs.

Data warehousing plays a critical role in the way people interact with technology and manage their personal information. It is important to recognise that the ability to store vast amounts of data is pivotal in exploiting information technology.

Data Warehousing is the Foundation of Business Intelligence

Business intelligence stems from the insights provided by data warehouses. These warehouses collect and combine information from various databases and keep ongoing records of all data, which is then stored in a systemised way to ensure that it is easily accessible to company employees, partners and stakeholders.

The concept of data warehousing relies on three key technical concepts:  

Data Wrangling – Data wrangling is the process of taking data in its raw form and transforming it into a form that’s easier to use for analytics.

Data Storage – Data storage is the process of taking all the aggregated data and saving it in a centralised location.

Data Analysis – Data analysis is the process of comparing and analysing the complete set of data stored in a warehouse.

Before the era of advanced computing, businesses had no choice but to rely on written documents and individual experiences to build profitable business plans. Today, companies have the agency to make data-driven decisions that take advantage of the immense quantities of consolidated information.  

The Future of Data Warehousing and Business Intelligence

Data warehouses and business intelligence are two separate but complementary entities. Data warehouses provide value by storing data, whereas business intelligence platforms analyse data. Once decisions are made based on the information provided by the data warehousing system, new data is created and incorporated into the warehouse, effectively further improving business intelligence decisions.

As technology continues to evolve, the advancement of data warehousing and business intelligence will help empower competitive companies with the tools they need to drive innovation, intelligently serve customers and remain industry leaders.

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