Menu Close

BI vs Data Analytics: How is it different?

Business Intelligence vs Data Analytics

Data has changed and revolutionized the way businesses and organizations work.  Regardless of the sector, several data formats are employed in the business industry. The success of an organization depends on how the data available is applied to develop solutions. Data can be used by businesses primarily through business intelligence and data analytics. These two are important for business as they center on how an organization should operate based on its prior success. Business intelligence (BI) and Data Analytics are frequently used interchangeably in data-driven enterprises. Although they both depend on data, let us gain an understanding of Business Intelligence vs Data Analytics.

What Is Business Intelligence?

Business Intelligence (BI) is the term used to describe the administrative and technical framework that gathers, organizes, and evaluates the data generated by a company’s operations. It integrates business analytics, data mining, data visualization, data tools and infrastructure, and best practices to assist businesses in making choices that are more data-driven. Business Intelligence (BI) employs software and services to transform data into insightful knowledge that affects a company’s strategic and tactical business decisions. It provides insights into the records of the business, which aids officials in assessing the company’s progress both in terms of economic development and in other areas. Moreover, BI encourages the use of historical data to enhance fact-based decision-making rather than assumptions and intuition.

What Is Data Analytics?

Data analytics is the science of analyzing unstructured data to locate patterns, identify trends, and isolate insightful information. It makes the most of automation and machine learning technologies to transform unprocessed data into meaningful knowledge. Organizations can increase productivity, maximize profit, or make more strategically sound decisions with the use of data analytics. Data analytics lets businesses make sense of the past and forecasted future trends instead of basing their decisions on assumptions. With the help of data insights, organizations may have a much deeper knowledge of their target market, industry, and business as a whole. As a consequence, they are much better able to make choices and establish long-term plans.

Business Intelligence vs Data Analytics

What is the difference between Business Intelligence and Data Analytics?

Let us have a look at few points that differentiates Business Intelligence with Data Analytics.

Purpose 

Data analytics and business intelligence serve quite different purposes, which is the main distinction between the two. Business intelligence is focused on operations, whereas data analytics is more likely to focus on innovation. Business intelligence supports decision-making and aids companies in expanding their businesses since it is concerned with gathering raw data and assessing the historical progress of a business. However, data analytics is all about transforming raw data and analyzing it to model, clean, anticipate, and change the data in accordance with business goals.

Utilization of data

Business intelligence utilizes structured data. It makes use of data stored in tabulated databases, warehouses, or other systems. Dashboards and reports are made using these data. Data analytics, on the other hand, makes use of structured data, although it typically starts with unstructured, real-time data. It is the task of data analysts to clean and organize this data before saving them for further analysis.

Implementation

Organizations implement business intelligence to increase operational capabilities, evaluate corporate data, do data mining, improve decision-making, and produce reports. It can be implemented using various BI tools available in the market. However, only historical data kept in data marts or warehouses are used for BI implementation. Data analytics are implemented when a company wants to make substantial changes to its business model but is still in its early stages. It can be implemented using various data storage tools available in the market.  BI tools may also be used to implement data analytics, although this depends on the strategy or approach chosen by the business.

Tools and techniques 

Business Intelligence deals with tools for data gathering, scoreboard creation, and report generation. While Data Analytics deals with tools and techniques for data analysis while breaking up the data into meaningful chunks. Additionally, Data Analytics specifically combines cutting-edge technology solutions to facilitate effective analysis. Data analytics tools continue to develop over time as more and more technologically advanced tools and methodologies are occasionally developed.

Users

Business Intelligence is more concerned with achieving goals that have already been a part of the business objectives. It is mostly utilized by executive teams and non-technical staff members, such as chief financial officers, chief information officers, and chief executives. Data analytics encourages the addition of goals for the advancement of business operations in line with the necessary patterns. Data analytics is normally the purview of analysts, data scientists, and computer programmers who have a more technical focus.

Conclusion 

Data analytics and business intelligence helps in gathering unprocessed data and their analysis for use in future operations. Both of these have a crucial role to play in the expansion of businesses. Organizations can utilize the expertise of our consultants from our Data Analytics Consulting Services for gaining assistance in implementing data analytics and carry out effective decision-making