Home > Resources > Infographics > Business Intelligence vs Data analytics

Business Intelligence vs Data analytics

June 2, 2019

Business Intelligence and Data Analytics sound similar, don’t they? From an outsider perspective, both Business Intelligence and Data Analytics might serve a similar purpose, but they are utilized to deliver different outcomes based on the business requirement. This article focuses on listing out the key differences between Business Intelligence and Data Analytics. Introduction Business Intelligence deals with complex strategies and technologies that help end users in analyzing the data and perform decision-making activities to grow their business. The earliest usage of Business Intelligence was discovered in ‘Cyclopedia of Commercial and Business Anecdote book’ written by Richard Miller Devens in 1865. Devens uses the term BI (Business Intelligence) to describe on how a banker named Sir Henry Furnese, has gained profit by analyzing his own environment to stay ahead of his competitors. Data Analytics or Business Analytics is a process that helps the enterprise users to transform the raw or unstructured data into a meaningful format. The transformed information can be utilized to cleanse, transform or model the data to support the process of decision making, derive conclusions and implement predictive analytics. Data Analytics is a standard or common process that is employed under various procedures or strategies by many organizations around the globe depending upon their business needs.

Spotlight

Talent Insights Group

Talent Insights Group is a specialist recruitment company focusing on Data Analytics, Actuarial, Insights, Digital, and Business Intelligence. Based in Australia servicing Sydney and Melbourne, we have built strong relationships endorsed by our clients and connect people in Retail, FMCG, Banking & Finance and Telcos. We have long established links overseas, enabling us to have ready access to candidates in South Africa, the UK, the US and Asia…

Other Infographics

Who Should Opt for Business Intelligence Tools?

Infographic | June 24, 2022

In 2020, 54% of enterprises said that cloud BI is very important. Companies with less than 100 employees were more likely to opt for BI.

Is Business Intelligence Worth the Hype?

Infographic | June 24, 2022

33% of large-sized businesses will practice decision intelligence by 2023. In 2011, mobile business intelligence saw a jump of 260% in tablet sales. The global business intelligence market is expected to grow to over $33.3 billion by 2025.

Difference Between Data Science and Data Analytics

Infographic | March 12, 2020

Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis.Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

Benefits of Data Modeling for Businesses

Infographic | February 3, 2022

Data modeling makes it easier for developers, data architects, business analysts, and other stakeholders to view and understand relationships among the data in a database or data warehouse. Benefits of data modeling helps companies take fast data-driven decisions and enhance the business processes at a higher rate.

Ai in Manufacturing

Infographic | December 16, 2019

AI enables organization to optimize product availability by decreasing out of stocks and spoilage. AI can also help with getting a better understanding of sales patterns. AI enables organizations to expediate product development and R&D by reducing the test times and driving more concrete insights from customer data and demands

Encryption is the last line of defense
Encryption Can Increase Consumer Trust
Encryption Can Help to Protect Remote
Workers

More Infographics

Business Intelligence vs Data analytics