Big Data and Business Intelligence might sound similar at the surface level but are not the same. Both fields involve crunching the information to generate insights that can lead to data-driven and well-informed decision-making. But they are distinctly different regarding the volume and nature of information and tools used to process data. Business Intelligence or BI generally refers to readily usable and structured information that offers profitability and competitive advantage. In contrast, big data is a huge pile of digital information spread everywhere, where practitioners focus more on unstructured data.
Analytics, business intelligence, and big data in Montreal-based institutes are courses under one academic program. This program matches the rapid technological advancements that require new expertise and skills in a fast-paced environment. In the world of data processing, business intelligence and big data are the leading players in facilitating business leaders and decision-makers to explore new possibilities. It’s easy to confuse business-related terminologies, but understanding the difference between business intelligence and big data is important to benefit from both.
Let’s peek into the key difference between business intelligence and big data.
- In business intelligence, the information is stored on a central server known as the data warehouse. In contrast, big data uses a distributed file system making operations more flexible while preserving the data safely.
- Business intelligence uses historical data to make future decisions, whereas big data solutions can look at past and real-time data sources.
- Business Intelligence can analyze structured and semi-structured data mostly within the society. But big data can efficiently deal with structured and unstructured data from various sources, including social media networks.
- Business intelligence professionals use a wide range of tools to glean value from information. Popular BI tools are spreadsheets (Excel), market insight resources (those provided by PwC, Thompson, and LinkedIn), business analytics software(such as Sisense, Power BI, and Tableau), and database management languages ( like SQL), data warehouse services( those offered by Oracle, SAP, and Amazon). On the other hand, big data professionals are often excellent mathematicians, statisticians, actuaries, or true blue data scientists. They use high-end specialized tools, such as big data platforms including, Clouder and Apache Hadoop, and database programs such as MongoDB to navigate and make sense of the enormous unstructured data.
- Business Intelligence is typically applied in social media, gaming, food, and healthcare. Big data is used in banking, entertainment, retail, wholesale, etc.
- Business Intelligence helps us find answers to already known questions, whereas big data helps us find questions and answers that we are unaware of but can affect the business.
These are some of the notable differences between the two.
Data is indispensable in the contemporary business landscape as it fuels meaningful, data-driven decision-making that helps businesses grow. Both business intelligence and big data are needed to be synchronized to be used together efficiently. Hence, top-notch institutions in Montreal offer Analytics, Big Data, and Business Intelligence course under one program to equip students with the latest skills and expertise. Moreover, companies are now integrating their business strategies with big data and other technologies derived from research in artificial intelligence.
Hence, pursuing a course that makes you highly efficient in Analytics, Big Data and Business Intelligence can make you stand out even in a highly competitive job market. So, apply for this program now!