Business analytics is the process of using data, statistical and quantitative analysis, and other forms of information to understand and improve business performance. It involves collecting and analyzing data to identify patterns, trends, and insights that help in decision-making and support the achievement of strategic goals. Five types of Business Analytics - Descriptive, Diagnostic, Predictive, Prescriptive, and Cognitive analytics.
Data Analyst, Business Development Manager, Customer Service Manager, Financial Analyst, Database Administrator, Data Scientist, etc are some of the most popular business analyst job profiles in India. Top companies that hire business analysts are Accenture, TCS, Cognizant, Deloitte, IBM, Capgemini, Amazon, Wipro, Infosys, and Dell Technologies.
A business analyst helps organizations by using data analysis to understand and improve business performance. They work closely with stakeholders to understand their data needs and develop solutions that meet those needs. They use statistical and quantitative analysis to identify patterns, trends, and insights that can aid decision-making.
Business Analytics is one of the fastest-growing career options with the highest-paying job opportunities. IIM Bangalore, IIM Ranchi, NMIMS, Woxsen University, IIM Kozhikode, NIT Calicut, etc are some of the top institutes offering courses in business analytics. The average salary offered to business analysts in India is INR 6,80,000 per annum.
Table of Content
1.1 Response Modelling Would Involve Which Type Of Business Analytics
1.2 Collection Strategy Design Would Involve Which Type Of Business Analytics
Types of Business Analytics
Business Analytics can be classified into four different types, including
- Descriptive analytics: This type of analytics uses historical data to describe past events and trends. It helps companies understand what has happened in the past and identify patterns and insights.
- Diagnostic analytics: This type of analytics is used to identify the cause of specific issues or problems. It helps companies understand why certain events or trends occurred, and can be used to identify areas for improvement.
- Predictive analytics: This type uses historical data and statistical models to predict future events or trends. It helps companies make informed decisions about what will happen in the future and plan accordingly.
- Prescriptive analytics: This type of analytics uses predictive analytics and optimization algorithms to recommend actions or decisions. It helps companies identify the best course of action to achieve specific goals.
- Cognitive analytics: This type of analytics uses natural language processing and machine learning to extract insights from unstructured data such as text, voice, and image. It helps companies understand customer sentiment, detect fraud, and more.
Response Modelling Would Involve Which Type Of Business Analytics
Predictive analytics would typically be used in response modeling. In order to predict upcoming occurrences or trends, predictive analytics employs historical data and statistical models. To predict how customers will react to upcoming campaigns or messages, response modeling uses previous data on consumer reactions to marketing campaigns or other sorts of communications.
Additionally, it might entail using machine learning algorithms to find trends in consumer behavior and create models that forecast how consumers would react to various messages or campaigns. Information obtained can be used to generate marketing strategies.
Collection Strategy Design Would Involve Which Type Of Business Analytics
Collection Strategy Design would involve the use of descriptive analytics. Descriptive analytics would be used to comprehend the current state of data collecting, the types of data being gathered, and the methods employed to obtain them. It helps to identify patterns and insights in the current data collection strategy.
- In many collection strategy design scenarios, diagnostic analytics and prescriptive analytics are also used along with descriptive analytics.
- Diagnostic analytics would be used to identify the cause of specific issues or problems while Prescriptive analytics would recommend actions or decisions based on the data collected.
- This type of analytics would help to optimize the data collection strategy and ensure that the correct data is being collected in the right way, in order to support businesses.
Types Of Data In Business Analytics
There are many types of data that are used in business analytics. These data are often used as a combination to obtain a comprehensive understanding of business operations. Some of the most commonly used data types in business analytics are -
| Data Type | Description | Example |
|---|---|---|
| Structured data | This data is organized in a specific format like rows and columns in data tables or spreadsheets. | Sales and inventory data, customer data. |
| Unstructured data | This data is not organized in a specific format and can include different data types like photos and videos. | Customer reviews, call center transcripts. |
| Semi-Structured data | This type of data is organized but not structured data. | XML, JSON files. |
| Time Series data | This data is collected over time. | Weather updates, Stock prices. |
| Geographical data | This data is related to a specific location. | Addresses, Store locations |
| Transactional data | This data is related to transactions that occur within an organization. | Financial transactions, Sales, and purchase inventory. |
| Operational data | This data is related to the everyday operations of an organization. | Log data, machine data, sensor data. |
Meaning, Types, And Application Of Business Analytics
Business Analytics is a collection of disciplines and technologies used for solving business problems using statistical models, data analysis, and other quantitative methods. It involves an iterative examination of the organization’s data with a focus on statistical analysis to drive decision-making.
Different types of business analytics assist in the analysis and transformation of data into information that is valuable for identifying and projecting future patterns and outcomes for more informed business decisions. Business Analytics is of the following five types Descriptive analytics, Diagnostic analytics, Predictive analytics, Prescriptive analytics, and Cognitive analytics.
Business Analytics can be used in a number of business functions. Some of the common applications include -
- Supply Chain Management - Optimizes supply chain operations by analyzing data on inventory levels, production schedules, and logistics.
- Sales and Marketing - Evaluate client data to spot patterns and trends that can be used to enhance marketing plans and boost sales.
- Financial Analysis - Analyse financial data and identify trends, patterns, and insights that can inform financial forecasting and budgeting.
- CRM - Examines customer data to find patterns and trends, to inform customer engagement and retention.
- HR - Analyzes employee data and informs about recruitment, retention, and performance management strategies.
- Risk Management - Evaluate and identify potential risks that can affect business strategies.
- Operations Management - Examine data on machine performance, productivity, and efficiency, to enhance manufacturing and production operations.
- Fraud Detection - Identify trends and irregularities, such as unexpected account activity or transactions, that may point to potential fraud.
Types Of Decision Models In Business Analytics
Business Analytics uses many types of decision models, like -
- Descriptive models - describe what has occurred in the past to understand past performances and identify patterns.
- Predictive models - predict future outcomes o the basis of historical data and statistical techniques.
- Prescriptive models - recommend specific actions using optimization techniques to identify the best course of action to achieve business goals.
- Simulation models - simulate real-world systems and processes using mathematical algorithms to test different scenarios and evaluate potential outcomes.
- Optimization models - identify the most efficient solution for a problem using mathematical algorithms.
- Machine Learning models - identify patterns in large data sets, classify data and make predictions using algorithms to learn from data.
Type Of Competency Area In Cloud Business Analytics
Cloud Business Analytics involves a number of competency areas from technical skills to business acumen and understanding of cloud platforms and technologies. Some important competency types in cloud business analytics are -
| Data Management and warehousing | Data Visualisation and reporting | Cloud Infrastructure and Architecture | Predictive Modelling. |
| Business Intelligence | Data Security | Big Data Technology | Cloud Platforms |
Types Of Business Analytics Jobs
Different types of Business Analytics job profiles across various industries are mentioned in the following table -
| Job Profile | Average Salary |
|---|---|
| Customer Service Manager | INR 19,900 |
| Financial Advisor | INR 20,900 |
| Marketing Manager | INR 24,600 |
| Data Analyst | INR 32,200 |
| Business Development Manager | INR 36, 480 |
| Financial Analyst | INR 4,09,000 |
| Operation Analyst | INR 4,20,000 |
| Senior Quality Assurance Analyst | INR 4,90,000 |
| Supply Chain Manager | INR 6,24,000 |
| Cheif Operating Officer | INR 6,28,000 |
| Database Administrator | INR 6,58,000 |
| Business Intelligence Analyst | INR 8,35,000 |
| Data Scientist | INR 8,45,000 |
| Financial Controller | INR 9,98,000 |
| Data Architect | INR 14,62,000 |
Types Of Business Analytics Tools
Business analysts use a variety of tools to combine quantitative and qualitative data from various business systems and store it in a repository. These business analytics tools enable effective data collection, processing, and display in real-time. Some of the best business analytics tools are mentioned in the following table -
| Business Analytics Tool | Use |
|---|---|
| Microsoft Excel | For data manipulation, and data visualization, and also for performing basic statistical analysis. |
| SAS | Provides a wide range of statistical and data analysis capabilities, including data visualization, data management, and data modeling. |
| Microsoft Power BI | Publish interactive, eye-catching dashboards and reports that users can use to study and share data findings. |
| Tableau | Allows users to create interactive, visually-appealing dashboards and reports that can be used to analyze and communicate data insights. |
| Qlik Sense | Allows users to create charts and dashboards using machine learning and AI to improve data processing and data mining processes. |
| Splunk | Capture, index, and find co-relations between real-time data. It is used to process machine log file data in the form of graphs and reports. |
| MicroStrategy | Offer data discovery and visualization and web services. It uses business analysis techniques to fetch data which can also be shared from any device. |
| Sisense | Allows users to analyze and visualize big volumes of complex data in great detail. |
| Board | Allows users to design unique user reports and dashboards that are intuitive and interactive using its analytics model. |
| Domo | Combines several data sources and offers extensive connector support. It provides insight at both the micro and macro levels and enables users to view real-time data. |
Types Of Business Analytics With Examples
Business Analytics types with examples are as follows -
- Descriptive Analytics - In order to predict how a unit could react to a collection of specified variables, it conducts analysis over historical data. Example - Summarising past events, Social media usage, engagement of data, Reporting general trends, etc.
- Diagnostic Analytics - Employ drill-downs and correlations that help in understanding past events and what the main elements were. Example - Examining Market Demand, Explaining Customer Behaviour, Identifying Technology Issues, Improving Company Culture, etc.
- Predictive Analytics - Determine the probability of future events using historical data. Example - Predicting customer preferences, recommending products, detecting employees' minds and intentions, predicting staff and resources, etc.
- Prescriptive Analytics - Help in taking the best possible outcomes by providing insights about a future event. Example - Tracking fluctuating prices in manufacturing, improving equipment management, price modeling, evaluating rates of readmission, identifying testing and patients for clinical testing, etc.
- Cognitive Analytics - Analyse large data sets and data using natural language processing and machine learning. Example - Tapping unstructured data sources including images, emails, text documents, and social posts.
Types Of Reports In Business Analytics
There are a number of types in which a report is generated and represented in business analytics. Some of the most common report types in business analytics are -
| Dashboards | Scorecards | Executive reports | Trend reports |
|---|---|---|---|
| Ad-hoc reports | Drill-down reports | Exception reports | Predictive reports |
Types of Business Analytics FAQs
Ques. What is Business Analytics and what are its types?
Ans. Business analytics is the process of using data, statistical and quantitative analysis, and other forms of information to understand and improve business performance. It involves collecting and analyzing data to identify patterns and insights that can inform decision-making and support the achievement of strategic business goals.
Descriptive, Diagnostic, Predictive, Prescriptive, and Cognitive are the five types of business analytics.
Ques. Which type of business analytics will be used in tracking fluctuating prices in manufacturing?
Ans. Prescriptive analytics will be used to track fluctuating prices in manufacturing as it provides insight helping in taking the best decision.
Ques. Is coding required in business analytics?
Ans. Coding is generally not required in business analytics. If the job profile requires the use of statistical analysis software, then it will be required for data analysis capabilities like data visualization, data management, and data modeling. R and SAS are the most commonly used coding software in business analytics.
Ques. What job profiles can a student pursue after completing a business analyst course?
Ans. Data Analyst, Business Development Manager, Marketing Manager, Customer Service Manager, Financial Analyst, Database Administrator, Data Scientist, etc are some of the top job profiles that a student can pursue after completing a business analyst course.
Ques. Name some tools that are commonly used by business analysts.
Ans. Microsoft Excel, SAS, Tableau, Splunk, Sisense, Domo, etc are some of the most commonly used tools by business analysts.
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