Data is considered the new oil or gold in terms of its inherent value as an asset and will continue to be critical for any business’s survival and growth in an increasingly competitive world that is literally changing by the day. This rate of change is expected to accelerate further as we advance in time. 

In today’s data-driven world, organizations rely on data analysis to make informed business decisions about performance, to make further investments and to solve current problems. Whether in marketing, finance, HR, or any other business function serving any business vertical in any business domain, data analysis helps uncover trends, patterns, and insights that drive effective strategic decision-making. 

Aspiring business professionals should consider enrolling in a top PGDM College in Delhi or a Top MBA College in Delhi that integrates data analysis with management skills into its curriculum. This will enable you to have the best of both - the trending world of big data analytics and the evergreen world of business management. 

Data analysis follows a structured process that ensures accuracy, reliability, and actionable insights. This article will walk through the essential steps of data analysis, offering tips and the best tools for each stage.

Why do a PGDM in Big Data Analytics from AIM?

Asia-Pacific Institute of Management (AIM) offers an AICTE-approved PGDM in Big Data Analytics that is considered equivalent to an MBA in Business Analytics globally by all reputed authorities for corporate careers. 

AIM is ranked 4th among B-Schools in Delhi and 8th in North India. 

Enjoying a track-record of an almost 100% placement record since its inception, AIM’s placement data: 7059 + students, 1258 +recruiters, 62 % repeat recruiters from companies like Google, HUL, Oracle, Jaguar, Nykaa, P&G, JP Morgan, Microsoft, HSBC, Credit Suisse, ICICI Bank, American Express, P&G, Coca Cola, PepsiCo, Nestle, Johnson & Johnson, EY, Reckitt Benckiser, IBM, Accenture, Adidas, Birla Sun Life, Airtel, Bristol Myers Squibb, AstraZeneca, Roche, Novartis, Indian Oil, Jio, Ola, Hitachi, Panasonic, FedEx, Tata Group, Pfizer, Barclays, Jaguar, KPMG, Grant Thornton, SAP, Goldman Sachs, Deloitte, PWC, Randstad etc. 

The summer internship record has been in companies like Share Khan, Outlook group, Bajaj Allianz, Escorts, Bridgestone, Vizag Steel, ITC, Future Generali Insurance, Aditya Birla Capital, KPMG, JCB, PWC, LG, ONGC, Continental, Birla Sun Life, Airtel, Jindal Steel, Barclays, Indian Oil, Muthoot Fincorp, Bajaj Finserv, WNS, Grant Thornton, Jio, Randstad, Amul, Quikr, Panasonic, Mother Dairy, Medanta, Jaypee Siddharth, Indian Bank, ICICI Securities, India Bulls, Yamaha, Godfrey Phillips, Vodafone, Escorts, The Park, Air India, etc. 

There are over 6000 AIM alumni of which over 1000 are in top leadership positions in MNCs or leading Indian organizations.  

The average domestic placement salary has been Rs 8.75 lakhs p.a., and the maximum placement package has been Rs 22 lakhs p.a., with a 98% placement record and 100% paid internships for students. 

Understanding Data Analysis

Data analysis is the process of inspecting, cleaning, transforming, and modelling data to derive meaningful conclusions and support decision-making. From start-ups to multinational corporations, professionals with data analysis expertise are in high demand. A Top PGDM College in Delhi or a top MBA Private College in Delhi, like AIM, can provide the necessary training to develop strong analytical skills.

Key Steps of Data Analysis, with Tips and Tools

Defining the Problem or Objective

The first and most critical step in data analysis is to identify the problem or objective. Without a clear understanding of what needs to be achieved, analysing data can lead to misinterpretations and ineffective conclusions.

One of the best ways to define a problem is by using the SMART framework, which ensures that goals are specific, measurable, achievable, relevant, and time-bound. When working on a data analysis project, it is important to align objectives with business priorities.

Top tools for defining business problems include Google Sheets or Microsoft Excel for structuring objectives and Miro or Lucidchart for brainstorming and visual mapping.

A well-structured MBA College in Delhi, like AIM, teaches students how to frame business problems, set objectives, and define key performance indicators (KPIs) to ensure data-driven solutions align with organizational goals.

Data Collection

Once the objective is defined, the next step is gathering relevant data. Data collection can be done through various methods, including surveys, interviews, website analytics, financial reports, and social media analysis.

For accuracy, data should come from reliable sources, and businesses often use both primary and secondary data to ensure comprehensive insights. Reliable data collection tools include Google Analytics for user behaviour tracking, SurveyMonkey or Typeform for survey-based data collection, and SEMrush or Ahrefs for competitor research.

A Top PGDM College in Delhi, like AIM, ensures students develop expertise in data sourcing techniques and understand how to differentiate between primary and secondary data sources.

Data Cleaning and Preparation

Raw data generally contains errors, missing values, duplicate entries and inconsistencies that must be removed. Before analysis, it must be cleaned and organized to ensure its accuracy. This process involves removing duplicate records, standardizing data formats, filling in missing values, and filtering out irrelevant data.

As per most experts, an average of 70 to 80% of the project time is spent on data cleaning after data collection is completed, and the remaining time (20 to 30%) is to be spent on actual analysis. This points to the importance of this step of data analysis.

Automating data cleaning processes can save time and reduce errors. Professionals often use OpenRefine for cleaning messy datasets, Pandas (a Python library) for data manipulation, and Trifacta Wrangler for advanced data preparation.

A Best PGDM College like AIM trains students to use appropriate data pre-processing tools to refine raw data for analysis.

Data Exploration and Visualization

Once the data is clean, analysts perform exploratory data analysis (EDA) to identify patterns, relationships, and trends. This step involves summarizing data using descriptive statistics, detecting anomalies or outliers, and creating charts and graphs for visualization.

Effective data visualization helps communicate insights more clearly. Businesses rely on tools like Tableau and Power BI for creating interactive dashboards, Matplotlib and Seaborn for statistical plotting, and Looker Studio by Google for some options of free, web-based analytics reporting.

A top Big Data PGDM College in Delhi, like AIM, ensures that students gain hands-on experience in data visualization, making it easier to communicate findings effectively.

Data Analysis and Model Building

At this stage, businesses apply statistical methods and machine learning techniques to extract insights. The different types of data analysis include descriptive analytics for historical data, diagnostic analytics for root cause analysis, predictive analytics for forecasting trends, and prescriptive analytics for recommending optimal actions.

Choosing the right analytical model is crucial. Popular tools include Python libraries like Scikit-Learn and TensorFlow for machine learning, IBM SPSS and SAS for advanced statistical analysis. 

A Top MBA College in Delhi, like AIM, ensures students gain proficiency in SQL, Python, and AI-driven analytics tools and techniques, enabling them to extract actionable insights from data.

Interpreting and Drawing Conclusions

After applying analytical models, analysts must interpret the results and draw meaningful conclusions. This step involves identifying key trends, comparing different scenarios, and providing strategic recommendations based on the findings.

Clear interpretation of data is crucial for decision-making. Businesses often use Jupyter Notebook to document and share insights, and Google Docs or Notion for collaborative reporting.

A Best PGDM College in Delhi, like AIM, teaches students critical thinking and business acumen to ensure that data-driven insights translate into practical business strategies.

Communicating Results and Making Data-Driven Decisions

The final step in data analysis is presenting findings to stakeholders. This process includes creating reports, using visual storytelling techniques, and providing data-backed recommendations to business leaders.

Tailoring presentations to the audience is important. Executives may prefer high-level insights, while analysts may need detailed technical reports. Popular tools for presenting findings include Canva and Piktochart for infographics and Prezi / Gamma / Microsoft PowerPoint for business presentations.

A Top PGDM College in Delhi, like AIM, prepares students with business communication and presentation skills to excel in this area.

Master Data Analysis with Management Skills from a Leader

The ability to analyse data effectively is a game-changer for businesses today. Whether in finance, marketing, supply chain management, or human resources, professionals with data analysis expertise gain a significant competitive edge.

As businesses continue to embrace data-driven strategies, enrolling in a Top PGDM College in Delhi or a Top MBA College in Delhi, like AIM, with a strong focus on data analytics can set professionals apart. Programs that emphasize AI, machine learning, and business intelligence ensure students develop industry-relevant skills.

Choosing the AICTE-approved PGDM in Big Data Analytics at AIM will provide the credibility and expertise required to excel in today’s data-driven economy. These programs prepare students with the tools and knowledge necessary to harness the power of data for strategic business decisions.

Admissions are open for 2025 at AIM. Apply NOW!