Data Analysis: Types & Steps In It
Data Analysis is the process of dealing with raw data with the objective of gathering useful insights and trends from it. In addition, it facilitates collecting, modelling, and analyzing data to support decision making. The end results after conducting this process help in making various business strategies and decisions.
Types Of Data Analysis
Data Analysis consists of four types that are beneficial in answering different questions supporting business decisions. Given below are the types.
- Descriptive analysis- This analysis deals with knowing “What Has Happened In The Past.” In addition, it summarizes the quantitative data from the past by presenting statistics about it.
- Diagnostic Analysis- Diagnostic Analysis helps in determining “Why Something Has Happened”. Moreover, it focuses on knowing the root cause for any event and identifying the behaviour patterns of data.
- Predictive analysis- Unlike the past two analyses, Predictive Analysis deals with the future. It focuses on telling “What Might Happen In The Future.” Thus, it helps a business in preparing for upcoming threats & opportunities.
- Prescriptive analysis- It uses the analytics of the above three analytics, and helps in prescribing “What Should We Do About It”. It helps in providing solutions for the current situations and problems.
Steps Of Data Analysis
Data Analysis is often a time-consuming process and it requires the use of various methodologies and technologies to extract the desired result. The gathered raw data goes through a few processes before it is capable of providing insights. In today’s era, Data Analysis is required in every organization worldwide and therefore it proves to be a good career choice. To further know about its workings, one can visit institutions that provide Data Analyst courses in Gurgaon. Given below are the steps in Data Analysis Process.
- At first, an organization needs to identify which questions need solutions before conducting.
- Then, it is necessary to collect raw data for analysis from various internal & external sources.
- After that, cleaning of this raw data takes place. This helps in removing duplicates and errors from the datasets.
- Then, the cleaned data is analyzed by using various techniques and tools. This step helps in finding trends and patterns in data.
- At last, the results are interpreted to check the answers to the asked questions.
Benefits Of Conducting Data Analysis
- Helps In Identifying Needs- Data Analysis helps in identifying business and tells what should a company do to improve performance. In addition, it also helps in anticipating customer needs, thus allowing a company to produce products according to customer needs and preferences.
- Mitigating Risks & Fraud- Data Analysis helps in protecting a business from various internal and external threats. In addition, it enhances security and allows a business to detect fraudulent activities. Moreover, it also facilitates real-time threat detection and helps in forecasts, and anticipating future threats.
- Ensures Optimization- This technology is also useful in improving operational productivity and efficiency. In addition, it also facilitates the optimization of a company’s workforce on the basis of demands and needs. This optimization ensures continuous improvement in a business.
- Customer Interaction- Being able to interact with customers in real-time help in developing good business relations. In addition, this process supports customer interactions on the basis of a customer’s personality and attitude. Thus, delivering personalization in a multi-channel service environment.
Tools
Data Analysis is the need of today and no business can flourish without conducting this process. It provides business insights and helps in identifying various patterns and trends from the raw data. Therefore, businesses collect data along with every point of the customer journey through various sources such as social media sites, reviews, polls and many more.
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However, this gathered raw data is useless for a company until it is refined, organized and ready for analysis. This process requires a few tools for conducting the data examining process and finding insights out of it. In addition, many organizational institutions provide Data Analyst courses in Delhi and one can enrol in them to start a career in this field. Given below are the best tools available in the market that facilitates Data Analysis.
- R and Python
- Microsoft Excel
- Tableau
- RapidMiner
- KNIME
- Power BI
- Apache Spark
- QlikView
- Talend
- Splunk