Companies collect a huge volume of data daily from various sources like ERMs, e-commerce platforms, supply chains, and many other internal and external sources. In making use of this data to make data-driven decisions, organizations need modern business intelligence (BI).
What is Business Intelligence?
Business intelligence is a mix of business analytics, data mining, data visualization, data tools & best practices to help companies make more informed, data-driven decisions. When an organization has a comprehensive view of its business using its data and drives change, eliminates inefficiencies, and can quickly adapt to market changes, it can be said to have achieved modern business intelligence.
rnIt encompasses data mining, process analysis, performance benchmarking, and descriptive analysis and presents the processed data in easy-to-digest reports, performance measures & trends for the management.
BI systems have the following parts [combines core concepts like ]
Data warehouse- It's used to store data and information from various sources in an accessible centralized location.
Business analytics - Or data management tools are used to mine and analyze the data from the data warehouse, i.e. extraction, Integration, and Interpretation.
Business performance management (BPM)- These tools monitor and analyze the progress toward business goals.
Data visualization- Generates graphs, charts, and diagrams.rnReporting capabilities - Creates dashboards, trends & performance analytics and provides quick access to information.
Key Benefits of Implementing Business Intelligence in Organizations-
Improved decision making- Based on key information and metrics that are generated using BI, informed decisions can be taken. Decision makers can analyze the performance of the company by comparing the past and current performance of the company. BI also offers strategic data points to help companies make the right decisions at the right time.
Increased visibility- In today’s digital world, large volumes of data are available from different sources. In large organizations, it's easy to miss out on some information and decision-makers may not get the overall view. Using BI, dashboards can be generated which are data visualization tools that can help in tracking, analyzing, and displaying KPIs, metrics, and other critical data points on screen for easier understanding and interpretation of raw data.
Boost productivity- BI automates almost all reporting processes using big data leading to a reduction in time, effort and costs, thereby increasing productivity. BI can be used for predictive and prescriptive analysis. Predictive analytics makes predictions about future outcomes by using historical data combined with statistical modeling, data mining and machine learning. This tool is used to identify opportunities and risks in business. Prescriptive analysis analyses data and uses all possible permutations, combinations and all relevant factors, to determine and yield the optimal course of action.
Customer behavior- Using business intelligence, businesses can gain insights into their customers, their buying behavior and their purchase preferences. This information can be used to use better marketing initiatives and enhance the customer experience. Analytics can help retailers to create customer usage maps to provide insights about their interaction with the products, retail websites, or the business.
Use Cases for BI:
Amazon
Amazon uses BI for offering personalized product recommendations and to make informed logistical decisions. Its logistics and supply chain can run smoothly using predictive and in-depth data analysis. Data analytics helps it optimize its inventory allocation, shipping routes etc.
Coca-Cola– Uses AI-powered image recognition technology to identify when images of its drinks are posted online and BI assists the company to know and identify the segment of its customers from age, sex, location, etc. The data is also used for target marketing and personalized advertising which can help generate clicks and sales.
Netflix – Has a huge database of customers and can generate targeting information using BI. It also employs the data and BI in different ways. It develops and tests new programming concepts based on shows that have been viewed earlier and encourage its customers to interact with its content. Its BI-generated recommendations promote targeted content and are extremely effective.
American Express- Uses BI to create innovative payment service solutions and sell offers to its clients.
Lotte.com - This Korean internet shopping mall has more than a million site visitors daily. Using BI analytics programs they have been able to increase customer loyalty and increase sales. It used BI analytics to reduce the checkout process and delivery issues to generate an increase in sales volume.
Cementos Argos- This cement company has operations in the USA, Central & South America, and the Caribbean. It uses BI to process big data and gain in-depth insights into customer behavior to generate better profits.
Conclusion:rnBI tools can have a huge and identifiable impact on business. These tools help in inventory control, managing supply chains, identifying and removing operational bottlenecks, and automating routine tasks. A
business intelligence software development services company can take this big data and provide real-time dashboards with intelligent and powerful reports and analysis. Such services can help businesses identify issues, trends & opportunities and organize and structure data in a way that can create concise and actionable reports that can be used by all the stakeholders within the organization.