What is the difference between Business Analyst and Data Analyst?

What is the difference between Business Analyst and Data Analyst?

BY LEAD-LEAP DATA ANALYTICS SCHOOL

What is the difference between Business Analyst and Data Analyst?

BY LEAD-LEAP DATA ANALYTICS SCHOOL Big data is transforming and powering decision-making everywhere. From large enterprises to higher education and government agencies, data from a plethora of sources is helping organizations expand their reach, boost sales, operate more efficiently

Big data is transforming and powering decision-making everywhere.

From large enterprises to higher education and government agencies, data from a plethora of sources is helping organizations expand their reach, boost sales, operate more efficiently, and launch new products or services.

In order to make sense of all this data and use it to be more competitive, companies must apply both business analytics and data analytics.

There’s often confusion about these two areas, which can seem interchangeable.

Both business analytics and data analytics involve working with and manipulating data, extracting insights from data, and using that information to enhance business performance.

Business analytics focuses on the larger business implications of data and the actions that should result from them, such as whether a company should develop a new product line or prioritize one project over another.

The term business analytics refers to a combination of skills, tools, and applications that allows businesses to measure and improve the effectiveness of core business functions such as marketing, customer service, sales, or IT.

Data analytics involves combing through massive datasets to reveal patterns and trends, draw conclusions about hypotheses, and support business decisions with data-based insights.

Additionally, Business Analytics tends to be more focused on:

  • Descriptive analytics (what happened)
  • Diagnostic analytics (why it happened)
  • Predictive analytics (what will happen)
  • Prescriptive analytics (what should we do)

Data Analytics, on the other hand, tends to be more focused on:

  • Exploratory data analysis
  • Data visualization
  • Statistical modeling
  • Machine learning

Data analysis attempts to answer questions such as,

“What is the influence of geography or seasonal factors on customer preferences?” or “What is the likelihood a customer will defect to a competitor?”.

The practice of data analytics encompasses many diverse techniques and approaches and is also frequently referred to as data science, data mining, data modeling, or big data analytics.

From the newest startups to established global enterprises, every organization needs to leverage data for innovation and business growth,

Do you want to learn Data Analytics using Excel, Power BI and SQL?

Join our SEPTEMBER COHORT. It is 5 weeks program (weekend class)

The training starts on Saturday 7th of September, 2024

Physical and virtual class available

Call us on 08062468296 to register

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