The Role of Data Analytics in Modern IT: How SKIPS M.Sc. (IT) Program Prepares You?
Data analytics is gaining prominence in various processes and workflows of the IT sector organizations. From product development to cybersecurity, data analytics is something that IT companies deploy to get insights that deliver strategic benefits to them. For instance, analyzing data from servers, networks, end-point devices, etc., helps them to optimize their IT infrastructure. Such data can also assist in various decisions, like whether to migrate to the cloud or not. The use cases of data analytics in IT are immense.
IT companies are, therefore, in constant search of candidates who are skilled in data analytics tools, technologies, and frameworks. Students with a Master of Science in Information Technology (M.Sc. IT) qualification can easily get high-paying jobs in the IT sector.
This article discusses the application of data analytics in the IT sector and also discusses how SKIPS M.Sc. (IT) program prepares you for a lucrative career in the IT sector.
Data Analytics and Its Growing Importance in the IT Industry
Over 10 million new openings are projected for data analyst roles by 2026. The demand is exceptionally high as all companies are deploying data analysis processes for a competitive edge.
“Data is the new gold”, this phrase highlights the importance of data for the growing digital economy. A large amount of raw data is transferred across businesses after the advancement of the internet.
Data analytics uses raw data to churn out valuable information for IT companies to improve their products or services. The derived information helps to evaluate the trend, enhance services, and fill the market gap.
Data analytics has various applications in different industries including the modern IT arena.
An IT organization holding a large amount of data requires data analytics tools to analyze different data sets and gather information that can fuel their business growth. This can be executed through a programming language, statistical, or mathematical tool.
For example, data analytics can be used during product development (analyzing competitor feature data) to optimize the features of a mobile application. It uses real-time data to track the demand for specific features among consumers.
Key Roles of Data Analytics in the Modern IT Sector
Data analytics plays the following roles in the IT industry:
1. Business Intelligence
IT companies use data analytics to understand: customer behavior, changing market trends, and product enactment. This helps companies to optimize their product and create new offerings according to market trends. It creates transparency among different departments, which means data is not limited to one department, and everybody can access it. This helps businesses to compare them with their competitor and enables them to understand their position in the market.
2. Product Development
IT firms love collecting customer feedback. Without knowing the customers’ problems, companies cannot make a successful product. Data analytics compares user feedback with market demand and offers practical ways of product development. This helps the company develop products that resonate with user requirements resulting in higher user satisfaction and loyalty towards the company.
3. Cybersecurity
Data analytics help IT companies identify or detect any online threats by analyzing the traffic patterns for specific networks. It can identify suspicious activities in real time such as unauthorized data access or data breach and alert the security system to act quickly against such threats.
4. Performance Monitoring
Data analytics help in the performance and maintenance of their software. It continuously monitors their software performance and in case of any functional glitch, quickly informs the concerned department before it becomes a problem. Hence Predictive maintenance, powered by data analytics reduces downtime and improves performance.
5. Improve Productivity and Data Integration
Data analytics tools expedite the data workflow process. The tool collects data from multiple sources such as databases and APIs, and integrates them into one platform. It accelerates built-in capabilities like machine learning and enables companies to get actionable insights from their data. By data collection automation, organizations can reduce manual errors and ensure they are working with the most current information.
6. Personalized Marketing
IT companies can segment their user base based on demographics, behavior patterns, and culture. It helps them to create personalized marketing campaigns and target every customer based on their choices or needs.
7. Visualize Data
Data analytics provide you with a detailed snapshot of your business landscape. IT companies convert their data into a visual representation to observe the patterns and find connections and trends that might be skipped in a spreadsheet. It enables you to create data mash-ups for new, unique insights.
8. Mobile Analytics
Measuring and analyzing data produced by mobile platforms, such as mobile websites and mobile applications, is known as mobile analytics. It enables the company to monitor, assess, and comprehend how mobile users engage with your mobile applications and websites.
How SKIPS M.Sc. (IT) Program Prepares You?
Extensive Practical Training in Popular Data Analytics Tools
Students are trained in various data analytics tools and techniques, including predictive analytics, data visualization, and big data tools like Hadoop and Power BI. The program also offers extensive industry exposure through internships, industry projects, and collaborations with top recruiters.
Top Data Analytics Tools you will learn at SKIPS:
1. Excel: Excel is the oldest, well-known data analysis tool available as Microsoft spreadsheets. It has pivot tables for summarizing large data, pivot charts for visual representation of data, and built-in functions to calculate data and extract information. It enables you to import, delete, and visualize data.
2. Phyton: Phyton is a programming language popular among data scientists, engineers, and statisticians for data analysis. It contains a set of libraries for data analysis like Pandas, Numpy, Matplotlib, and SciPy. They allow the user to create 2D or 3D plots and charts, support data mining and statistical visualization of results.
3. R: An open-source programming language especially used for statistical computing and graphics. It is preferred for data visualization, statistical analysis, and data manipulation. It is ideal for statistical calculations and creating compelling graphics such as graphs and scatter plots.
4. Tableau: Tableau is a popular data visualization tool for business analytics and business intelligence. It can perform advanced analytics functions like cohort analysis, predictive analysis, and segmentation. It smoothly turns data sets into logical graphics.
5. Power BI: Power BI has an interactive dashboard that displays data in different styles like charts, graphs, maps, and scatter plots. It can access data from in-house and cloud-based sources, and easily integrates with Microsoft tools like Excel and SharePoint.
With the SKIPS M.Sc. (IT) program, you develop domain-specific Skill Sets in the Data Science Field
- Statistical Modeling and Machine Learning
- Data Modeling
- Data Analysis and Interpretation
- Creating and Maintaining Dashboards
- Analytical and Problem Solving
- SQL and Database Management
- ETL (Extract, Transform, Load) Processes
- Data Governance
Graduates of the M.Sc. (IT) program at SKIPS University are well-equipped to pursue various career paths in the IT field, such as data scientists, data analysts, and business analytics professionals. The program also includes industry-specific certifications, hands-on projects, and innovative pedagogies to ensure that graduates are industry-ready and can handle complex data analytics projects in IT environments.
Choose the SKIPS MSc IT Program to Become a Data Analyst
The role of data analytics in modern IT is ubiquitous. As businesses rely on data analytics tools to make decisions, they need a data analyst who can provide deeper insights for the business.
The global data analytics market is projected to expand from $7.03 billion in 2023 to $303.4 billion by 2030, achieving a compound annual growth rate (CAGR) of 27.6%. This shows a high demand for skilled professionals in this field.
If you aspire to become a data analyst or data scientist, pursue an MSc IT program from SKIPS University, Ahmedabad. Our program provides a solid foundation in data analytics and prepares students with the necessary skills for data analytics applications.
We equip students with the practical knowledge required to harness the power of data analytics and embark them on a journey towards a successful career in IT.