Scope of Business Analytics – Types, Benefits, and More

Scope of Business Analytics - Types, Benefits, and More | Business Analytics | Emeritus

Are you ready to take your business to the next level? Business analytics is essential for any company looking to maximise its potential and stay ahead of the competition. It offers an array of powerful tools to help you make informed decisions and create strategies for success. This article will provide you with an overview of the future scope of business analytics and discuss its benefits and challenges.

What is Business Analytics?

Business Analytics is analysing data and deriving insights from it to improve business operations, make better decisions, reduce costs, and increase profits. It involves collecting, cleaning, organising, visualising, and interpreting data to draw meaningful conclusions about the data. Business analytics is used across various industries to identify trends, develop strategies and optimise processes for improved performance.

The use of business analytics has grown significantly over the past few years as organisations have sought out new ways to gain a competitive advantage. This growth can be seen in the increasing demand for professionals with analytical skills who understand how to interpret data sets into actionable information that can be used to drive better decision-making.

Types of Business Analytics

Business analytics can be divided into three main categories: descriptive, predictive, and prescriptive. Each type of analytics has its own tools and techniques for analysing data sets.

  • Descriptive analytics 

It is summarising data to gain insight into it without making predictions about future events or trends. Descriptive analytics can help organisations understand the current state of their business and how different factors may affect performance. 

Examples include customer segmentation analysis, cohort analysis, market share analysis, and sales forecasting.

  • Predictive analytics 

It uses past data to forecast future outcomes, such as customer churn rate or demand for a particular product or service. Predictive models use statistics and machine learning algorithms to detect data patterns and predict future outcomes. 

Examples include Time Series Forecasting, Regression Analysis, and Survival Analysis.

  • Prescriptive analytics 

It combines descriptive and predictive analytics to provide actionable recommendations to achieve desired outcomes. This type of analytics is often used in supply chain management, marketing campaigns, or customer segmentation strategies. 

Examples include A/B Testing, Optimisation Modeling, and Multi-Objective Decision Making.

The Future Scope of Business Analytics

The use of business analytics is becoming increasingly important as organisations strive to gain a competitive edge and maximise profits. The future scope of business analytics is vast and will continue to expand as technology advances and the need for data-driven decisions increases.

  • Automation

Business analytics is becoming increasingly automated as organisations look to simplify processes and reduce costs. Automated solutions can collect, organise and analyse data quickly and accurately, giving businesses near real-time insights into their operations. This can help organisations make faster decisions with greater accuracy.

  • Big Data Analytics

As the amount of available data grows exponentially, businesses are turning to big data solutions for improved performance. By leveraging the power of big data tools such as Hadoop or Spark, companies can gain deeper insight into customer behavior, market trends, and more to optimise their strategies for maximum success.

  • Artificial Intelligence (AI)

AI technologies such as machine learning algorithms are being used more frequently in business analytics to detect patterns, make predictions and optimise decisions. AI-powered solutions are becoming increasingly sophisticated, making them invaluable for organisations seeking a competitive edge in the market.

  • Cloud Computing

Cloud computing transforms how businesses handle data and analytics. By moving their analytical processes to the cloud, companies can reduce costs and improve scalability while accessing powerful tools for analysis and leveraging near real-time insights into their operations.

  • Internet of Things (IoT)

The IoT revolution is creating vast amounts of corresponding data that can be analysed for improved performance. Companies can use IoT data to gain insights into customer behavior, optimise operations or develop new products and services based on customer needs and requirements.

Business analytics is an ever-evolving field that businesses increasingly turn to for improved performance. By leveraging automation, big data analytics, AI, cloud computing, and IoT, organisations can gain deeper insight into their operations and make better decisions for long-term success.

The Job Prospects in Business Analytics

As organisations continue to embrace the power of data-driven decision-making, the demand for qualified professionals with expertise in business analytics proliferates. The various job roles include 

  • Data Scientists

Data scientists use algorithms and models to analyse data, identify trends, make predictions, and provide actionable insights. As organisations look to gain a more comprehensive understanding of their data, the demand for data scientists is increasing significantly. 

The average salary in India for a data scientist is ₹11 lakh per annum, as per AmbitionBox.

  • Business Analyst

Business analysts are responsible for developing strategies based on analytical findings to maximise efficiency and profitability. With an ever-growing array of tools available for analysis, businesses need experienced professionals who can interpret the results and develop effective plans for success. 

According to AmbitionBox, the average salary in India for a business analyst in India is ₹7 lakh per annum.

  • Machine Learning Engineer/Data Engineer

As businesses increasingly rely on machine learning algorithms for improved performance, the demand for engineers with expertise in this area is overgrowing. Knowledge of coding languages such as Python and R is essential for this role. 

The average salary in India of a machine learning engineer/data engineer is ₹ 10 lakh per annum, according to AmbitionBox.

  • Business Intelligence Analyst

Business intelligence analysts are responsible for collecting, organising, and analysing data to gain insights into customer behavior, market trends, or other business-related information. With powerful tools available for analysis, such as SQL and Tableau, the demand for experienced BI analysts is growing rapidly. 

According to AmbitionBox, the average salary in India for business intelligence analysts is ₹ 7 lakh per annum.

  • Visualisation Expert

With the availability of tools such as PowerBI and Tableau, businesses need professionals who can use these tools to create meaningful visualisations that convey complex data in an easy-to-understand way. This requires knowledge of coding languages such as HTML/CSS, JavaScript, or D3 library. 

The average salary of a visualisation expert in India is ₹14 lakh, as per AmbitionBox.

Benefits of Business Analytics

There are multiple benefits of business analytics, such as

  • Improved Decision-Making

Business analytics provides organisations with data-driven insights to make informed decisions.

  • Cost Savings

Business analytics is essential for reducing costs and improving resource use to maximise profits.

According to a McKinsey & Company survey, using data as part of your marketing decisions can potentially boost productivity by roughly 15-20%. This proves that efficient and effective use of data is essential for success in modern business.

  • Enhanced Customer Experiences

By leveraging the power of analytics, companies can gain deeper insight into customer needs and preferences to provide personalised experiences that will improve loyalty and drive growth.

  • Faster Time to Market

With the right analytical tools, businesses can quickly identify trends and opportunities in the market that they can capitalise on.

  • Improved Performance

Business analytics is an invaluable tool for improving performance across all areas of operations.

Business analytics provides many benefits to businesses, from improved decision-making capabilities and cost savings to more efficient operations.

What Are The Challenges Ahead for Business Analysts

 While there are benefits, such as improved decision-making and cost savings, it also presents some challenges such as 

Data Governance

Data governance is one of the biggest challenges facing business analysts today.

Skills Gap

As technology advances, there is a gap in skills and knowledge needed to properly leverage big data analytics, machine learning, and AI. Companies must focus on training their personnel to meet the demands of the field to remain competitive.

Also Read: Skills Gap: How to Keep Upskilling Yourself

Data Quality

As businesses collect more data, they must ensure that it is accurate, up-to-date, and consistent across all systems to derive meaningful insights.

Accessibility

Organisations need access to a wide range of data sources to gain comprehensive insights into their operations.

Interpretation of Insights

Despite advances in analysis technologies, human interpretation is still vital when it comes to making sense of complex datasets or recognising patterns in customer behavior.

Conclusion

Business analytics is a powerful tool for driving growth and improving performance. However, its challenges must be addressed to leverage its potential fully. With the right tools and resources, companies can use business analytics to gain a competitive edge and maximise their profits.

If you want to learn how data analytics can help improve your business, consider enrolling in business analytics courses hosted by Emeritus. With the proper knowledge and training, you’ll be well-equipped to take advantage of the opportunities that data analytics offers. Additionally, it can also provide valuable insights into customer behavior and market trends to ensure long-term success for your business.

About the Author

Content Writer, Emeritus Blog
Nikhil is a passionate and free-spirited writer with 4+ years of experience. He has a keen eye for the ever-evolving content landscape, which helps him craft captivating content across various genres. He writes about marketing, data science, and finance for the Emeritus Blog. Beyond work, Nikhil is a dedicated pet parent who loves leisurely walks with his beloved puppers.
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