The Difference between Business Intelligence and Advanced Analytics
Business Intelligence enhances the ability of companies to make meaningful use of the data collected during business operations on a day-to-day basis. It can assist businesses to boost their performance by exploring new opportunities, identifying main threats while providing new insights to speed up the decision -making process.
Research shows Business Intelligence Growth Value: 7 Telling Stats that companies using analytics are five times more likely to make faster decisions.
Advanced Analytics, on the other hand, is used to answer some of the most challenging business questions and can help in boosting operational efficiency of the company, drive investment decisions as well as improve customer experiences.
While both business intelligence and advanced analytics operate in similar areas, there are some subtle differences between them. Let us take a look at those and also understand the key benefits of each –
Business Intelligence is a set of technologies and architecture that can help in transforming raw data into more relevant and meaningful information that may be useful to the organizations. It mainly focuses on storage and retrieval of data from the past by using technologies such as query engines and data cubes. The main purpose of Business Intelligence is to help interpret vast amounts of data and measure past performance which is critical in the challenging business environment. Companies can find out about new opportunities using the past data and frame powerful strategies based on Business Intelligence insights to give them a competitive edge over the others.
Advanced Analytics is related to the automatic exploration and communication of meaningful patterns that may be found both in structured and unstructured data. The focus of Advanced Analytics is more on forecasting using the data to find the trends to determine what is likely to happen in the future. Basic Analytics provides a summary of data whereas; Advanced Analytics goes a step ahead in providing a deeper knowledge about data and helps in granular data analysis. This can be more rewarding for companies in getting better business outcomes using data driven decision making.
Let us take a look at some of the key benefits of Business Intelligence
Consolidation of Data from Different Sources
Business Intelligence solutions provide an automated system of data collection through which, it is possible for companies to consolidate the data from multiple sources. This can help in boosting their efficiency and thereby enhance their business performance.
Users can gain access to information in their databases along with the new data which is created by devices, sensors, apps, server logs and geo-location coordinates through BI software. The actionable intelligence derived from this data assists companies in taking decisions and enable business transformation.
With Business Intelligence software, it’s possible to manage your inventory as the companies can order the correct amount of inventory at any point in time. This helps in reducing wastage and also lower the costs of inventory for the business in the long term.
Data collection and report generation is automated through Business Intelligence which helps companies to bring down their employee training and development expenses. It can also help in assessing how well your business is performing using a specific number of employees and how many more may be needed to accomplish your business goals.
Advanced Analytics can provide better transparency for end-to-end supply chain visibility with its robust data visualization capabilities and helps in managing large volumes of data leading to efficient decision making. Artificial intelligence integrated with Advanced Analytics can help in reducing wastage and boost efficiencies in supply chain management.
