Business Analytics is a combination of Data Analytics, Business Intelligence and Computer Programming.It is the science of analysing data to find out patterns that will be helpful in developing strategies. Its usage can be found in almost every industry.
Interactive Data Corporation (IDC) estimates that Data creation will reach 163 zettabytes by 2025. Big Corporations, Governments, Entrepreneurs and almost everyone else is using Data Science to generate insights by unearthing patterns and by decoding this data. These insights are helping to improve efficiency and to offer innovative solutions to business problems. Analytics is also leveraged widely to plan election campaigns and win elections.
Business Problem Framing
This is the first thing you do before you start your analysis. Even before you begin your analysis, you should understand the purpose of your analysis. Here you try to understand what the business is and what the business is trying to achieve. You formulate the business problem.
Analytics Problem Framing
Here you reformulate the business problem with respect to analytics. You develop a proposed set of factors and its relationship to output. Also, you define a metric of success of your model.
Data
Here you identify and select your data for analysis and its source. You work to clean the data and make it analysis ready. You also find relationships between data and report them.
Methodology Selection and Model Building
Once your data is worked on, you decide which method to use for your analysis. This is decided based on your data and the type of analysis you have to perform. You make multiple models and compare them based on the metrics you decided on.
Deployment
You validate your model to check if your model is giving accurate predictions. Once validated and reported, you deploy your model on company’s system which then will perform analysis on every new incoming data. When a model is deployed, it has to be constantly monitored for accuracy.
Descriptive Analytics: This branch of Business Analytics analyses and finds answer to the question, “What has happened in the past”. As its name suggests,
Descriptive analysis or statistics performs the function of “Describing” or summarizing raw data to make it easily understandable and interpretable by humans.
Predictive Analytics: This branch of Business Analytics, uses forecasting techniques and statistical models to find out what is going to happen in future. Predictive analysis helps us in predicting the future course of events and taking necessary measures for the same.
Prescriptive Analytics: This branch of Analytics, makes use of optimization and simulation algorithms to find answer to the question, “What should we do?”. Prescriptive Analysis is used to give advices on possible outcomes. This is a relatively new field of analytics that allows users to recommend several different possible solutions to the problem and to guide them about the best possible course of action.
Companies recruiting Business Analytics Professionals?
| Designation | Description | Minimum Work ex |
| Data Scientist | Using machine learning to build better predictive algorithms | 2-3 years
|
| Data Analyst | Analysing interesting trends found in the data | 1 year |
| Data Architect | Applying feature transformations for machine learning models | 2-3 year |
| Data Administrator | Integrating external or new datasets | 2-3 year |
| Business Analyst | Creating visualizations ,Building APIs for data consumption | 1 year |
The skills required to become a Business Analytics Professional include:
IMS Proschool offers Business Analytics Course with Certification from NSE Academy.
Highlights:
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