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RAD Models: Overview, Advantages & Disadvantages, Real Life Examples

Updated on 24 April, 2024

12.36K+ views
9 min read

Have you ever wondered how apps like Facebook, Instagram, and Twitter were developed so quickly? Traditional software development methodologies like Waterfall follow a linear progression, where each phase must be completed before moving on to the next. However, for fast-paced industries like technology, this may not be the best approach.

This is where the Rapid Application Development model comes in. RAD is a collaborative and iterative approach to software development that emphasises rapid prototyping and continuous user feedback. With RAD, teams can quickly build and improve software, providing users with a seamless and efficient experience.

For example, the popular ride-sharing app, Uber, employed the RAD model to quickly release its initial product, facilitating user feedback and accelerating improvements. As a result, Uber was able to gain a significant market share in a short time and revolutionised the transportation industry.

This article will explore the RAD model, its phases, advantages, disadvantages, and when to use it. 

By the end of this article, you will clearly understand the RAD model’s potential and whether it is the right fit for your software development project.

Unveiling the RAD Model: A Closer Look

The Rapid Application Development model is a software development methodology that emphasises rapid prototyping, iterative development, and swift feedback rather than following lengthy development cycles.

This approach is particularly suitable for projects with evolving or ambiguous requirements, as it allows for quick adaptation to changes. The RAD model’s core principle is minimising planning time and maximising development speed through close collaboration between developers and users.

Because of these reasons, the RAD model can accelerate software development by up to 40% compared to traditional methodologies. Further, a survey by KPMG found that 60% of organisations plan to adopt a RAD or low-code platform within the next two years to accelerate their digital transformation initiatives.

The RAD model uses different key components contributing to its flexibility and agility to achieve this feat. These include:

  1. Iterative Development: The development process is broken down into smaller iterations, allowing developers to focus on specific features or modules simultaneously. This results in quicker delivery and improved adaptability.
  2. Prototyping: RAD heavily relies on creating prototypes, which are working models of the software that showcase its key features. Prototypes help users visualise the final product and provide valuable feedback to developers, ensuring that the software aligns with their needs and expectations.
  3. User involvement: The RAD model encourages active user participation throughout development. This continuous feedback loop enables developers to understand user requirements better and make necessary adjustments, leading to a more user-centric final product.

Real-life examples of RAD in action

The RAD model has been successfully employed in various real-world scenarios, showcasing its effectiveness in different contexts. Some examples include:

  1. Dropbox: The popular cloud storage service employed the RAD model to quickly build a minimum viable product (MVP). This enabled them to test the market and gather user feedback early on, ultimately developing a more refined and feature-rich product.
  2. Spotify: The music streaming giant has utilised the RAD model to iterate and improve its product continuously. By focusing on rapid development cycles and incorporating user feedback, Spotify has managed to stay ahead of the competition and consistently deliver a high-quality user experience.
  3. Airbnb: The home-sharing platform leveraged the RAD model to create a user-friendly and intuitive interface, addressing the unique challenges of connecting hosts and guests worldwide. Through rapid prototyping and iterative development, Airbnb was able to fine-tune its platform to meet the diverse needs of its users effectively.

Phases in the RAD Model

Here are some of the core phases that any RAD model goes through: 

1. Business Modeling

The first phase involves gathering information about the business processes and workflows while identifying areas where the application is expected to provide solutions or improvements. This step is crucial for understanding the business context and aligning the software development with the organisation’s goals and objectives.

2. Data Modeling

In this phase, developers analyse the data requirements and design the data structures necessary for the application. This includes defining data objects, their relationships, and data management rules. The data modelling phase is essential for ensuring that the application can efficiently manage and process the required data.

3. Process Modeling

During the process modelling phase, developers design the software processes to manipulate and manage data. This involves creating flowcharts, process diagrams, and pseudocode representing the various algorithms and functions required to achieve the desired functionality. Process modelling ensures that the application’s logic is well-structured and efficient.

  1. Application Generation: In this stage, the software’s actual coding and development occur. Developers use various tools, languages, and frameworks to build applications based on the data and process models created in the previous phases. Rapid construction techniques, such as code reuse and integrated development environments (IDEs), are employed to accelerate the development process.
  2. Testing and Turnover: The final phase involves rigorous application testing to identify and fix any issues or bugs. This includes unit testing, integration testing, and user acceptance testing (UAT). Once the application has passed all tests and received user approval, it is deployed to the production environment, and user training is provided as needed.

These five phases form the foundation of the RAD model, enabling the rapid development of high-quality software applications that align with business requirements and user expectations. However, it’s essential to note that different sources might vary slightly in the way they define or name the phases. The key aspect of the RAD model remains the same – focused on consistent development aligned with user demands. 

Advantages of the RAD model

The RAD model offers several advantages over traditional software development methodologies, such as the Waterfall model. These benefits include:

  1. Faster Development: RAD’s iterative approach and focus on rapid prototyping allow for shorter development cycles compared to the linear progression in the Waterfall model. For example, the development of Viber, a popular messaging app, employed the RAD model to quickly deliver its MVP, facilitating user feedback and accelerating improvements.
  2. Improved User Satisfaction: Involving users throughout the development process ensures that the end product meets their expectations. By continuously incorporating user feedback, the RAD model leads to higher satisfaction levels than the Waterfall model, where user feedback is typically obtained only after the final product is delivered.
  3. Flexibility and Adaptability: Unlike the Waterfall model, which is less accommodating to changes once the project is underway, the RAD model is highly adaptable. It allows teams to adjust to changing requirements and incorporate user feedback easily, making it suitable for projects with evolving specifications or in dynamic business environments.
  4. Reduced Risk: The iterative nature of RAD enables early identification of potential issues, reducing the risk of project failure compared to the Waterfall model, where problems may only be discovered late in the development process.

Learn Job-ready Program in Business Analytics from upGrad to become a certified Business Analyst professional. Fast-track your professional career after graduation with this Business analytics course with placement assistance.

Disadvantages of the RAD model

While the RAD model offers numerous benefits, it also has some drawbacks that should be considered:

  1. Not Suitable for Large or Complex Projects: The RAD model works best for small to medium-sized projects with well-defined scopes. The collaborative and iterative approach may become unwieldy for large or complex projects, making other methodologies like Waterfall or Agile more suitable.
  2. Requires Skilled and Collaborative Team Members: The RAD model relies on high collaboration between developers and users. It also demands developers skilled in rapid prototyping and familiar with the necessary tools. If a team lacks the required skills or struggles with collaboration, the RAD model may not be effective.
  3. Inadequate Documentation: Due to the fast-paced nature of RAD, documentation can sometimes be overlooked or incomplete. This may cause problems when new team members join the project or when the software requires maintenance and updates.
  4. Higher Initial Costs: The RAD model often requires the use of specialised tools, frameworks, and resources to facilitate rapid development, which may increase initial costs. However, these costs may be offset by the time saved during development and the reduced risk of project failure.

Check out our free courses related to upskill yourself.

With a deeper insight into the RAD model advantages and disadvantages, you can better determine if it is the right choice for your projects and how it compares to other development methodologies, such as Waterfall or Agile.

Is RAD the Right Model for You?

Here are some questions to consider when deciding if the RAD model is suitable:

  • Are the project requirements likely to change or evolve?
  • Is user feedback a critical component of the development process?
  • Can the project benefit from rapid prototyping and iterative development?
  • Is the project small to medium-sized, with a well-defined scope?
  • Do you have a skilled and collaborative team capable of handling the RAD model’s demands?

If the answer to most of these questions is yes, the RAD model might be the right choice for your project.

When to Use the RAD Model?

The RAD model is best suited for specific scenarios and project types. Consider using the RAD model when:

  • The project has evolving or ambiguous requirements that need continuous refinement based on user feedback.
  • Time-to-market is critical, and rapid development is necessary to stay competitive.
  • The project is small to medium-sized, with a well-defined scope and clearly identified objectives.
  • The development team is skilled in rapid prototyping and has experience using the necessary tools and frameworks.

Takeaway

In conclusion, the Rapid Application Development model offers a flexible, collaborative, and efficient approach to software development. By understanding the RAD model advantages and disadvantages, you can make an informed decision on whether to adopt this methodology for your projects.

To further enhance your business analytics and software development skills, consider enrolling in upGrad’s Job-ready Program in Business Analytics. This comprehensive course provides a strong foundation in business analytics, empowering you to make data-driven decisions and excel in your career.

Frequently Asked Questions (FAQs)

1. Is the RAD model suitable for all software development projects?

No, the RAD model is not suitable for all software development projects. It is best suited for small to medium-sized projects with well-defined scopes and clear objectives. Projects with evolving or ambiguous requirements may also benefit from the RAD model's flexibility and adaptability.

2. Can the RAD model be used for enterprise-level software development?

The RAD model may not be the best approach for enterprise-level software development projects. However, the RAD model can be effective in specific areas within an enterprise-level project, such as prototyping or UI/UX design.

3. Does the RAD model compromise on quality in favour of speed?

No, the RAD model does not compromise on quality in favour of speed. Instead, the RAD model emphasises continuous user involvement and iterative development, allowing for early detection and resolution of issues. This results in higher-quality end products that meet user requirements and expectations.



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The process involves: Attending to their patient,  Enquiring issues,  Analyzing symptoms,  Diagnosing results, and  Prescribing medications  Now, relate the points mentioned above with the role of a business analyst as one who: Identifies problem areas in a business process Determines responsible factors Uses tools and techniques to formulate a solution Presents the recommendation in a data-driven method, and  Reports the data-driven change to processes The responsibility of the doctor is to use their consultation skills to treat the responsible agent, causing sickness. Similarly, the responsibility of a business analyst is to use their data analysis skills to find solutions to business problems. Must read: Learn business analytics online free! Describing the Roles of Business Analyst The position of a Business Analyst in an organization demands the use of data analytics to bridge the gap between information technology (IT) and the business. Your business might be working on a problem that is not bringing the desired results. This is where the Business Analyst (you) will enter: Help the organization understand their business problem and the need to work on a particular project (if data says it is required) Provide solutions backed with data and business models to make the stakeholders understand the areas that would need changes Document those needs and requirement to implement into the business Come up with new plans to increase returns By socializing with users and business leaders, you will understand how a data-driven change can alter effectiveness in existing processes. You will be needed to evaluate your idea’s technological feasibility and the company’s financial support.  Read our Other Articles Related to Business Analytics What is Business Analytics? Career, Salary & Job Roles Top 7 Career Options in Business Analytics Business Analytics Free Online Course with Certification Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics Top 7 Best Business Analytics Tools Recommended for every Business Analyst Top 11 Industry Applications of Business Analytics Future Scope of Business Analytics Business Analytics Eligibility or Requirement 8 Business Analytics Tips: Which Helps to Run Business Successfully Qualifications of a Business Analyst You need to have a minimum of a bachelor’s degree to be qualified for the Business Analyst job profile. Other educational qualifications will vary with diverse industries and job requirements. Learn how to become a business analyst. Degrees in finance, accounting, or business administration prove to be useful to satisfy job demands. It can pertain individually to business administration or be general to a distinct industry. Be it a health sector or software IT group, the requirements on skill set and educational background will reflect demand. Specific additional courses and certifications on Business Analysis programs will prove to be useful to showcase knowledge of the subject matter. Our learners also read: Business Analytics Free Online Courses upGrad’s Exclusive Business Analytics Webinar for you – How upGrad helps for your Business Analytics Career? document.createElement('video'); https://cdn.upgrad.com/blog/alumni-talk-by-monalisha-dash.mp4   Skills Required The profile expects you to be functionally productive while juggling with cost constraints and reasonable ideas for higher output. To meet the demands of the Business Analyst profile, following skills will be expected: Organisational Skills Functioning in an organisation and collaborating with various departments Analytical Skills Data Analysis and Interpretation Business Process Re-engineering Remodelling processes and implementing changes in existing business plans  Business Administration Concepts Basics of finance, accounting, marketing and operations Understanding technology and network models Engineering processes with the help of technological competence  Cost-benefit Project Analysis Evaluating alternate decisions and analyzing outcomes Orientation to details Pricing and Budgeting processes require detailed inputs Writing Skills Documenting business plans with technical information for stakeholder’s ease in understanding Soft-Skills Communication Ability to think out-of-the-box Problem-solving Being an Influential Leader Interpersonal skills Presentation Skills Demonstrating chosen pathways to valuate maximum profit Technical Skills It is not necessary to be a computer programmer for a business analyst profile. The job demands intermediate computer operating skill with the use of spreadsheets, database programs, and software. Learn more about Business analyst skills. Industry Opportunities With the upscaling rise in demand, various industries are opening up positions of Business Analysts. The impressive profile and job description are leading many professionals to opt for this role as the next step of their career growth-plan. Some of the industries witnessing a rising demand of business analysts are: Government Organisations and Public Sector Information Technology  Small-scale businesses Multinational Business Corporations Health and Hospital Services Finance and Banking Institutions Consulting Firms Business Analyst Job Description The business analyst works incorporating technology and data-driven analysis to offer business solutions. They report the same to responsible executives and stakeholders with the following tasks: Planning and Monitoring Business Plans Defining Role Establishing the scope of the business and IT projects Levelling out problem areas at each step in the organisation’s workflow Analysing Variance Investigate differences between actual and planned behavior, sales difference Initiate changes from the conventional and existing business processes Budgeting and Pricing Setting aside financial asset for a business plan Defining each business step’s price Business Forecasting Predicting future developments in sales, expenditures and profits Preparing with adjustments for unexpected events Obligations on Accountability Your business could be a product, service, software or hardware based. Working on data sets, all that is required from you is to improve efficiencies and add value to the business. Your duties as a business analyst include: Quality Assurance Project Management Conduct surveys on projects Alter existing processes to increase returnsFormulate business cases Carry out statistical analysis Take steps to make the internal departments for effective Product Management Modify product and service offerings Collaborate technical and process re-engineering Present data-driven recommendation on changes Invent new systems Reasoning solutions on the scale of financial structure and feasible operations, you will be responsible for: Design test cases on business plans Review cases to optimise returns Manage the scope of business projects Analyse acceptance of the project under review Instal methods to modify changes Deploy mechanisms to increase returns Expectations on know-how A lot is expected here, from inspiring others to devising plans to scale heights in business growth. Following are some of the requirements from the profile of a business analyst in the organisation: Understanding how the business in the particular organisation works and operational process flows Working on multiple projects to meet deadlines  Collaborating with project managers on the mission Brainstorming ideas to meet ends with multiple teams and stakeholders Documenting loopholes from standard procedures Re-evaluate opportunities on business returns Documenting processes to refine the problem that is to be solved Add details to the solution with technological inputs. Conclusion As leaders in growth, business analysts are required to indulge in various tasks of the organisation’s framework to be the catalysts for change. Companies across both IT and e-commerce sectors pay excellent compensation to deserving candidates who can add value to their organization. Apart from the regular educational qualifications and work experience, having certification in Job-ready Program in Business Analytics also helps in bagging jobs that offer high-level salaries.
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by upGrad

23 Dec'19
How Business Analytics Help To Grow Business

5.99K+

How Business Analytics Help To Grow Business

In the past decade, thanks to the growing proliferation of smartphones and smart devices and the increasing adoption of Data Science technologies – AI, ML, Data Analytics, Business Analytics – the world has been churning out colossal volumes of data. And although we now sit on this data goldmine, raw data is of little or no value to us unless processed, analyzed, and interpreted. This is where Business Analytics enters the scene.  What Is Business Analytics? Business Analytics focuses on analyzing large volumes of historical data using a combination of diverse technologies like information technology, statistical analysis, quantitative methods, and computer-based models to gain meaningful business insights. Companies and organizations use these insights to make data-driven, actionable decisions for the future. While statistical methods help extract the relevant patterns from within large datasets, computer-based models allow business owners to visualize the performance of different strategies and decisions under varying scenarios. In simple words, business analytics refers to the technique of employing different quantitative methods to extract meaning from data to make informed business decisions. As such, by analyzing past performances and delivering data-oriented results, business analytics enables companies to prepare for the future. This is particularly crucial in the present age when every business entity is looking to optimize their decision-making process to achieve the competitive upper hand. Explore our Business Analytics Programs from World's Top Universities Business Analytics Certification Programme Busines Analytics EPGP - LIBA Professional Certificate Program in Data Science and Business Analytics Master of Science in Business Analytics Global Master Certificate in Business Analytics Busines Analytics Certification - upGrad Must read: Business analytics free online courses! What’s great about business analytics is that it offers a wide range of applications suited to almost every industry such as customer relationship management, financial management, inventory management, and marketing, banking, supply-chain management, human resource management, to name a few.  Business Analytics involves three core methods Descriptive which interprets historical data to identify trends that can create value for a business. Predictive that leverage statistics to predict future outcomes.  Prescriptive that uses a host of techniques to determine which outcome is likely to deliver the best results in a specific business scenario.  What Benefits Do Business Analytics Bring To A Business? Here are the top seven benefits that business analytics brings to the table 1. It Promotes Informed Decision-Making As we mentioned, business analytics is all about uncovering insights from raw data and using it to influence business decisions positively. When companies can analyze their past performances, they get to identify missed opportunities and subpar strategies. Accordingly, they can improve their ongoing campaigns and future decisions. 2. It Improves Customer Experience The market is flooded with choices – the product/service you offer may be provided by ten other brands. So, why should a customer choose you? It all boils down to the quality of products and the degree of personalization you offer to your customers. Modern customers are all about products/services that are customized to suit their specific needs and preferences. Business analytics can help you understand the purchasing behavior, tastes, requirements, etc., of your buyer personas. Equipped with this data, you can extend highly-targeted offers/discounts, campaigns, and products to your target customers, winning their loyalty time and again. In the long run, the efforts you put into creating a unique customer experience boost the customer satisfaction factor significantly. Also check out: Job-ready Program in Business Analytics from upGrad Read our Other Articles Related to Business Analytics What is Business Analytics? Career, Salary & Job Roles Top 7 Career Options in Business Analytics Business Analytics Free Online Course with Certification Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics Top 7 Best Business Analytics Tools Recommended for every Business Analyst Top 11 Industry Applications of Business Analytics Future Scope of Business Analytics Business Analytics Eligibility or Requirement 8 Business Analytics Tips: Which Helps to Run Business Successfully 3. It Improves Operational Efficiency Business analytics is one of the most vital tools for increasing operational efficiency. By analyzing the performance of your business processes, campaigns, marketing strategies, and business decisions, you can optimize the results. In other words, analytics helps paint a clear picture of what is working for your business and what is not. This allows you to fine-tune business operations and processes for enhanced performance and higher returns. 4. It Increases ROI Since business analytics enhances operational efficiency and improves decision-making, it inevitably creates new opportunities to increase the financial gains of businesses. According to McKinsey research, companies that use big data analytics witnessed a 6% increase in profits which can escalate to 9% provided steady investments are made in a five-year term. upGrad’s Exclusive Business Analytics Webinar for you – How upGrad helps for your Business Analytics Career? document.createElement('video'); https://cdn.upgrad.com/blog/vivek-and-ayush.mp4   5. It Helps Identify New Business Opportunities The potential of business analytics is not limited to identifying opportunities to boost decision-making and operational efficiency. Companies can use analytics to conduct market and competitor research to find out untapped opportunities such as new markets, new customer segments, new product ideas, etc. As new doors open, the potential to grow and earn more profits increases manifold. 6. It Doubles As An HR Tool While AI and ML have already revolutionized the hiring process across the industry, today, many companies are using business analytics in HR management. Data analytic can evaluate employee performance and assess their job satisfaction and willingness to upskill/take on additional responsibilities, and so on. This makes it easier for HR managers to determine the professional development of employees, make promotion decisions, and offer fair performance evaluations. 7. It Minimizes Risks By enabling business owners to make informed decisions based on concrete data including performance, customer behavior, and market trends, business analytics minimizes risks to a great extent. This, in turn, not only establishes a company as a leader in the market, but it also saves it from incurring financial losses.  Our learners also read: Learn Business Analytics Free Why Study Business Analytics? As an increasing number of organizations realize the potential of data backed by different Data Science technologies, the demand for skilled professionals is also rising. Any business failing to take the data-driven approach is going to fall behind in the race. However, be it AI, or ML, or business analytics tools, these will not deliver tangible results if a company lacks the right talent.  The global business analytics market continues to grow steadily as we speak, indicating that there’s a rapidly growing demand for certified business analytics experts. In fact, business analysis ranked as one of the most in-demand skills. Unfortunately, the demand far exceeds their supply, and while this is bad news for companies, it is great for aspirants who’re looking to build a career in Data Science.  The proven pathway to entering the business analytics domain is by opting for a certification course or training program. For instance, the Global Master Certificate in Business Analytics is an excellent choice to broaden your domain knowledge and take your career to the next level.  Taught by expert instructors of the Michigan State University, this 6-month course will teach you how to use data insights to improve business performance, enhance decision making, and craft long-term development plans. This course takes a holistic approach to business analytics by integrating business management, data engineering, and the natural sciences in the curriculum. Apart from mastering the fundamentals of data analytics, you will learn how to use various analytical and statistical tools like Tableau, R, and Microsoft Access. You can also Check out certification in business analytics from IIT Delhi. IIT Delhi is one of the top institutes in India and also one of the oldest IIT’s and is always excelled in giving highly industry-relevant courses, Now IIT Delhi has partnered with upGrad to get these top IIT Delhi courses online. They have a variety of other programs like Machine Learning, Executive Management Programme in Strategic Innovation, Digital Marketing and Business Analytics etc Learn Job-ready Program in Business Analytics from upGrad to become a certified Business Analyst professional. Fast-track your professional career after graduation with this Business analytics course with placement assistance.
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by Rohit Sharma

30 Dec'20
8 Business Analytics Tips: Which Helps to Run Business Successfully

5.54K+

8 Business Analytics Tips: Which Helps to Run Business Successfully

Business analytics is the process of extracting information and insights through statistical analysis of market trends, customer reactions, and past performance to drive better decision-making practices and help businesses achieve goals. In any industry, data analytics, intelligence and insights play a key role in driving a business’s success. There are tools and technologies to conduct iterative research and extract valuable information that can result in strategic planning and actionable decision-making. This doesn’t just influence the financial aspects of a business and streamline customer experience but also brings management professionals to effectively contribute to an organization’s success.  In this article, we will explore the role of business analytics in business decision-making to gain an advantage in the competitive market.  How Does Business Analytics Impact Business Success? Business analytics and insights aren’t just limited to implementing initiatives that maximize the efficiency of external factors impacting a business. It is also targeted at enhancing internal performance and quality by gaining a comprehensive understanding of the management system. This ensures timely availability of resources, better coordination, risk assessment and management, and improved customer experience. Must read: Business analytics free course! Here is how business analytics helps businesses become more strategic and achieve goals: 1. Visualize Long-Term Business Goals  Statistical facts based on the evaluation of a company’s past performance, industry trends and future projections can help a business visualize long-term goals for the company. This is essential to ensure growth and retain a competitive edge in the market. When company CFOs, managers, executives and sales teams have direct access to business intelligence and “one view of the truth”, it accelerates the process of decision-making. Explore our Business Analytics Programs from World's Top Universities Business Analytics Certification Programme Busines Analytics EPGP - LIBA Professional Certificate Program in Data Science and Business Analytics Master of Science in Business Analytics Global Master Certificate in Business Analytics Busines Analytics Certification - upGrad 2. Enhance Business Performance  With streamlined data analytics in place, businesses have a comprehensive view of the human side of the equation that deals with how people process information and use it to implement a given task. Through this, companies can allocate their resources in a better fashion as per the skills, strengths and weaknesses of employees, and work on aspects that require improvement, so as to maximize internal performance. By staying on top of employee operations, companies can recognize inconsistencies in management, and work to streamline them and enhance productivity. It would also impact recruitments and reduce the cost of hiring.  3. Improve Risk Management  Business analytics in business decision making help forecast aspects of management that can go awry in time. This allows businesses to implement practices to prepare for potential structured and unstructured issues by streamlining communication between departments and configuring improved risk management models. Based on this, businesses can then forecast risks with even more accuracy in future and eradicate potential crises by deploying necessary tools.  4. Identify Sales Opportunities Through data analytics, companies can conduct iterative studies on customer behaviour, their purchasing habits and favourable reactions, to identify sales opportunities. They can discover the most effective cross-sell and up-sell opportunities and use them to improve their sales decisions. Data analytics also provide comprehensive insight into the type of customers a business should be targeting. This can help sales teams recalibrate their sales strategies and tailor their acquisition and conversion plans accordingly. Also check out: Job-ready Program in Business Analytics from upGrad Read our Other Articles Related to Business Analytics What is Business Analytics? Career, Salary & Job Roles Top 7 Career Options in Business Analytics Business Analytics Free Online Course with Certification Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics Top 7 Best Business Analytics Tools Recommended for every Business Analyst Top 11 Industry Applications of Business Analytics Future Scope of Business Analytics Business Analytics Eligibility or Requirement 8 Business Analytics Tips: Which Helps to Run Business Successfully 5. Identify New Business Opportunities Business professionals may recognize short-term trends, but the sustainability of a business depends on identifying new business opportunities and strategizing accordingly to ensure longevity. Business analytics gives a clear insight into the shifts in markets and allow businesses to determine which products must be updated. Such intelligence-based decisions result in profitable outcomes and enhance the growth potential of a company. They also help predict risks down the road, so key areas of concern can be improved to increase a business’s chance of success.  upGrad’s Exclusive Business Analytics Webinar for you – How upGrad helps for your Business Analytics Career? document.createElement('video'); https://cdn.upgrad.com/blog/vivek-and-ayush.mp4   6. Improve Marketing Strategies By monitoring customer’s reactions towards promotions and marketing campaigns, a business can determine which campaigns to prioritize and devise strategies to capitalize on the most successful products and services.  As per a study by McKinsey & Company, data insights and analytics positively impact marketing decisions and help drive productivity by 15-20%. Take Target’s “pregnancy prediction score” for instance, that analyzes the purchasing habits of a customer to ascertain how likely they are to be pregnant. Based on this, retailers decide the promotional coupons and discounts that will be sent to the customer.  Predictive analytics is a common practice by companies to drive customer experience and foster reliability and loyalty with respect to their brands in a customer’s mind. This requires conducting investigative research in real-time, monitoring purchase habits, internet searches, and deducing fact-based conclusions to fine-tune marketing decisions. Based on these insights, sales teams can also collaborate with marketing departments to make quick and effective decisions.  7. Streamline Customer Service Data insights have a key role to play in decisions that directly impact the customer experience. By identifying patterns in customer reactions and studying the interactions between your employees and customers, a business can align their marketing strategies to drive profitable outcomes. These data simulations can help both marketing teams and the IT department to restructure budgets and devise campaigns that improve customer interaction as well as drive business goals.  8. Improve Financial Status  When companies have a thorough insight into their profit margins and losses, incoming and outgoing transactions and finance sheets, they are well-positioned to evaluate the potential of their products and services. This helps eliminate cost concerns and identify revenue streams to improve the financial status of the company.  Inconsistencies in inventory management also affect the profit margins of a company. An exhaustive view of ordering patterns, quantities, and prices can help reduce inventory costs and gain a stronghold on the finances of the company.  Our learners also read: Learn Business Analytics Free Business Analytics in Business Decisions Business analytics puts companies in a position to streamline internal processes, be it HR, marketing/sales or supply chain, and help improve the relevance of their product offerings. It allows them to employ strategic decision-making at all levels to influence business operations.  Businesses all around the world rely on data analytics and intelligence to retain a competitive advantage in the market. It is the need of the hour for companies to invest in data mining practices to stay relevant and in-demand. The good news is there are online courses on business analytics that anyone can take up and upgrade their skill set in a way that they become indispensable to an organization.  Conclusion upGrad’s Global Master Certificate in Business Analytics from Michigan State University with separate courses on “Data Mining and Management Strategies” and “Applying Business Analytics” can help you enhance your business performance and drive growth. Since the course is conducted 100% online, it doesn’t require you to compromise focus on business operations. So, book your seat now and avail the benefit of learning from world-class faculty and industry experts for the next six months! Learn Job-ready Program in Business Analytics from upGrad to become a certified Business Analyst professional. Fast-track your professional career after graduation with this Business analytics course with placement assistance.
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by Rohit Sharma

16 Feb'21
Scope & Future of Business Analytics in India: What Should You Do?

11.67K+

Scope & Future of Business Analytics in India: What Should You Do?

Even though businesses worldwide were increasingly adopting business analytics, artificial intelligence and agile delivery methods in their business practices before COVID-19 struck, the process has surprisingly accelerated post the pandemic. Business analytics, widely known for its diagnostic, predictive and prescriptive prowess, has gained tremendous traction in the last year as governments and healthcare institutions embraced this progressive approach to overcome organisational obstacles and provide long-lasting solutions.  As per Mckinsey, business analytical capabilities are projected to create $9.5 trillion to $15.4 trillion annual economic impacts across nineteen industries worldwide, of which 40% can be credited to AI implementation.  This article will analyse the scope of business analytics in India and shine a light on how business leaders have updated their approach towards business decision-making.  Let’s first understand business analytics and look at the questions analytical techniques seek to answer.  Also Read: What is business analytics – Career scope, Salary & Job Roles. What is Business Analytics (BI)? Business Analytics is the iterative and systematic analysis of a company’s statistical data to gain insights into the past performance records, ongoing business operations, and industry trends to foster strategic planning and data-driven decision-making capabilities and drive the growth of a company.  Business Analytics is an investigative approach that seeks to answer the what, why, when and how of business operations.  1. Descriptive Analysis: Uses historical data to recognise trends, inconsistencies, or patterns used to profit an organisation.  2. Diagnostic Analysis: It is the analysis of an observed event to understand why it took place. It usually involves conducting test hypotheses to draw fact-oriented conclusions.  3. Predictive Analysis: It is the interpretation of information to forecast potential outcomes and improve risk assessment and management.  4. Prescriptive Analysis: It usually involves testing and comparing outcomes to determine which has the potential for success.  Businesses employ business analytics as navigational tools to solve potential problems, streamline existing operations and invest in solutions that are most likely to assist in scalability and progress.  Explore our Business Analytics Programs from World's Top Universities Business Analytics Certification Programme Busines Analytics EPGP - LIBA Professional Certificate Program in Data Science and Business Analytics Master of Science in Business Analytics Global Master Certificate in Business Analytics Busines Analytics Certification - upGrad Our learners also read: Business analyst course free! Scope of Business Analytics As small to medium and large size businesses tap into the problem-solving prowess of business analytics, some business operations sections stand to benefit more than others. Forecasting demands, risk assessment, identifying potential disruptions in the supply chain, and providing support in crisis times are just a few scenarios where business analytics has proven to be a boon in India.  Read: Business analyst career path and professional roles. To that end, we estimate the scope of business analytics is poised to tremendously impact the following business scenarios: 1. Customer Experience: Quality consumer experience is key to ensuring smooth business operations. By gaining a deep understanding of what type of customers frequent your business and what their purchase habits are like and studying their behaviours, companies can tailor their services to achieve customer gratification and ensure their loyalty to the brand. Business analytics provides businesses with this possibility and allows them to personalise their products and services to cater to customers.  2. Inventory Management: businesses can streamline supply chain processes and reduce overhead costs. Business analytics provides an understanding of the frequency and timing of orders, which products are in demand and how poised a company is to serve those demands, strategically planning their supply chain operations. It also provides businesses with the capability to scale their services sustainably.  3. Sales and Marketing: Companies can study customers’ reactions towards their marketing campaigns and product offerings to create targeted campaigns and identify the most effective cross-sell and up-sell opportunities. It involves investigating the age demographic a consumer falls into, their average income, what motivates them to make purchases to predict patterns, and trends in their purchasing behaviour. This helps businesses focus their product messages and launch timings to suit their customers’ requirements.  4. Hiring and Recruitment: Companies are keen on associating with HR officials with a background in data analytics and business intelligence. This ensures that HR specialists can analyse data to onboard skilled and professional employees who contribute to a company’s growth. It also helps save companies hiring and training costs. 5. Finance: Big data and business analytics allow companies to handle their finances more effectively. Insights on marketing spend, and a comprehensive view of incoming and outgoing transactions can help businesses improve their business decision-making abilities, so they allocate their resources more efficiently. McKinsey & Company’s study showed that an integrated analytics approach towards marketing expenditure could free up to $200 billion worldwide.  Read our Other Articles Related to Business Analytics What is Business Analytics? Career, Salary & Job Roles Top 7 Career Options in Business Analytics Business Analytics Free Online Course with Certification Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics Top 7 Best Business Analytics Tools Recommended for every Business Analyst Top 11 Industry Applications of Business Analytics Future Scope of Business Analytics Business Analytics Eligibility or Requirement 8 Business Analytics Tips: Which Helps to Run Business Successfully upGrad’s Exclusive Business Analytics Webinar for you – How upGrad helps for your Business Analytics Career? document.createElement('video'); https://cdn.upgrad.com/blog/alumni-talk-by-monalisha-dash.mp4 Also, check out: Job-ready Program in Business Analytics from upGrad Future of Business Analytics  A business-focused approach to analytics has allowed companies to update the relevance of their product offerings, helping them maximise reach, discover business opportunities and tap into new revenue streams. It has also helped businesses provide optimised solutions to consumers, thereby enhancing customer experience.  Take Walmart’s search engine for example, that at one point during the launch of NBC’s latest House season was witnessing a significant number of “house” related searches. Since the results displayed were based on Walmart’s internal data, including household items, doghouses, etc., customers who came to buy CD/DVD sets of House would abandon the check-out process without completing the purchase. Walmart noticed this increase in the ‘shopping-cart abandonment’ rate and successfully employed business analytics tools to reduce it by 10% to 15%. which was done with the help of external data from other search engines, including Twitter and Facebook.  This is a common trend all over the world. Tech giants like IBM, Cognizant, and KPMG invest in analytical technologies and tools to yield ground-breaking results and drive unparalleled performance. This favourable attitude towards business analytics is one of the key developments in India, and businesses of all sizes are looking to connect big data to business intelligence to attain distinction in their respective industries.   To that end, here are the changes we can expect to see in future:  AI, Machine Learning and Big Data implementation will play a huge role in providing quality services and ensuring business progress. Data quality management is poised to become a crucial digital trend. As consumers become more conscious of privacy and receptive to personalised services, business analytics will pave the way for better and secure customer experience.  Predictive and prescriptive analytical approaches will force companies to rethink traditional models favouring unconventional technologies that increase sustainability and chances of success. Business analytics is expected to significantly impact marketing, sales, customer experience, finance, risk management, HR, and social media practices, among others.  Business professionals with an in-depth understanding of business analytics are better positioned to be industry leaders. They will have an edge in addressing short-term challenges and fulfilling long-term goals by constantly updating their descriptive and predictive analytical models to eliminate uncertainties and tap into new business opportunities. Certifications in business analytics courses will help business professionals attract favour from top companies in India and bolster their success chances. Equally valuable will be degrees in Data Science, and Machine Learning and Artificial Intelligence.  Now you can also get certifications in business analytics from IIT Delhi. IIT Delhi is one of the top institutes in India and also one of the oldest IIT’s and is always excelled in giving highly industry-relevant courses, Now IIT Delhi has partnered with upGrad to get these top IIT Delhi courses online. They have a variety of other programs like Machine Learning, Executive Management Programme in Strategic Innovation, Digital Marketing and Business Analytics etc Our learners also read: Business Analytics Free Online Courses Adopting a Data-Oriented Mindset The COVID-19 pandemic has demonstrated that expeditious changes are both necessary and possible for a business’s sustainability. Companies that rely on fact-based insights to develop a vision for the future and are quick to adapt to evolving technological standards have the potential to be industry leaders. Conclusion To survive and thrive in a competitive environment, business professionals must invest in proven solutions and constantly upgrade their skills to stay ahead in the race. They must be able to analyse data and deduce profitable conclusions from it to strategise effective business plans. And a Master’s Degree in Business Analytics from a reputed university can bring you a lot closer to these goals.  If you are looking to incorporate business analytics and intelligence into your skills set, upGrad x Michigan State University’s online Business Analytics program can help you. With uninterrupted access to world-class faculty and advanced technologies for six months, you stand to gain an undeniable competitive advantage that will benefit both your company and your career. Learn Job-ready Program in Business Analytics from upGrad to become a certified Business Analyst professional. Fast-track your professional career after graduation with this Business analytics course with placement assistance.
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by Rohit Sharma

16 Feb'21
Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics

5.77K+

Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics

Businesses are always on the lookout for new things and technologies that can enhance their productivity or help them get greater results. One such domain is analytics.  Analytics helps businesses in creating, implementing, and testing new strategies for various sections including customer acquisition, customer experience, business growth, financial management, and much more.  However, because analytics is such a broad field, its subdivisions can get quite confusing especially when it comes to business analytics vs data analytics. Even though they are different from each other, people use these terms interchangeably.  That’s why we’ll discuss the difference between business analytics and data analytics today. We’ll explore the distinctions between these two fields and understand why they are different from each other:  Check out our business analytics courses to upskill yourself. Business Analytics vs Data Analytics: Definition The first difference between business analytics and data analytics is in their definitions. Both of them use data to help a business make better-informed decisions but they cover different sections of an enterprise.  What is Business Analytics? Business analytics refers to the iterative exploration of an enterprise’s data while using statistical analysis techniques to get insights so they can make smart decisions with them. It is a subcategory of business intelligence that focuses on using financial analysis and reporting tools, data mining tools, and data visualization tools to figure out how to use data properly. The aim is to simplify data application for businesses to identify weaknesses, enhance value, and optimize costs for the current operations.  Business analytics helps a business in solving its unique problems and so, is usually at the front of the pipeline. This is a huge distinction because data analytics focuses more on the backend of the business’s data use.  In simple terms, business analytics uses data to help the business make smart decisions about its various aspects. It can help in nearly every section of a business including sales, finance, human resources, product development, customer service, etc.  Must read: Business analyst course free! Explore our Business Analytics Programs from World's Top Universities Business Analytics Certification Programme Busines Analytics EPGP - LIBA Professional Certificate Program in Data Science and Business Analytics Master of Science in Business Analytics Global Master Certificate in Business Analytics Busines Analytics Certification - upGrad What is Data Analytics? Data analytics focuses on collecting and using large amounts of raw data to draw conclusions about it and gain valuable insights.  Data analytics consists of analysis and categorising of data including sorting, cleansing, storing the data while identifying patterns in the same. One of the most popular aspects of data analytics is machine learning.  Machine learning allows you to process huge amounts of data and find patterns that allow you to make accurate predictions about that field. It also helps you generate insights that solve complex business problems for your enterprise.  Data analytics is vital for businesses as it helps them become more efficient and devise new strategies through making predictions.  Business Analytics vs Data Analytics: Salary When we look at the average pay for both of these roles, we find that there’s a little difference between business analytics and data analytics. The average pay of a data analyst in India is INR 4.3 lakh per annum. Experience matters a lot in this field as an entry-level data analyst with less than a year’s experience gets INR 3.44 lakh per year including the average bonus, overtime pay, and additional benefits.  A data analyst with one to four years of experience gets around INR 4.15 lakh per annum while a professional in this field with five to nine years of experience gets INR 6.73 lakh per annum on average. On the other hand, an experienced data analyst with more than 10 years of experience can get more than INR 10 lakh per annum on average.  The average pay of a business analyst in India is INR 6 lakh per annum. A fresher in this sector makes around INR 3.5 lakh per annum while a business analyst with one to four years of experience gets INR 5.28 lakh per annum on average. Like most sectors, experience matters a lot in this field as professionals with five to nine years of experience get INR 8.3 lakh per annum. However, a business analyst with more than 10 years of experience gets INR 10 lakh per annum while a business analyst with more than 20 years of experience gets INR 20 lakh per annum.  upGrad’s Exclusive Business Analytics Webinar for you – How upGrad helps for your Business Analytics Career? document.createElement('video'); https://cdn.upgrad.com/blog/vivek-and-ayush.mp4   As you can see, the pay range for these fields is quite similar but business analytics has a higher upper limit in comparison to data analytics.  Learn Job-ready Program in Business Analytics from upGrad to become a certified Business Analyst professional. Fast-track your professional career after graduation with this Business analytics course with placement assistance. Read our Other Articles Related to Business Analytics What is Business Analytics? Career, Salary & Job Roles Top 7 Career Options in Business Analytics Business Analytics Free Online Course with Certification Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics Top 7 Best Business Analytics Tools Recommended for every Business Analyst Top 11 Industry Applications of Business Analytics Future Scope of Business Analytics Business Analytics Eligibility or Requirement 8 Business Analytics Tips: Which Helps to Run Business Successfully Business Analytics vs Data Analytics: How to Enter Business analytics and data analytics require you to develop different industry skills and so, you’ll need different certifications to enter these industries. Data analysis professions such as data analyst, product analyst, and data scientist require you to be familiar with various data science subjects including predictive analysis, statistics, data visualization, and big data analytics.  On the other hand, business analytics requires you to be familiar with business acumen (the keenness of solving business problems), data fundamentals, statistical and modelling tools, ability to track latest industry trends and make decisions accordingly.  Courses for Data Analytics At upGrad, we offer multiple data analytics courses. You can enroll in our Master of Science in Data Science program. We have launched this program in partnership with Liverpool John Moores University. It lasts for 20 months and is completely online.  Apart from that program, you can enroll in our PG Certification in Data Science program. We offer this program with IIIT-B and lasts for seven months. If you want a more detailed learning experience from IIIT-B, you can enrol in the PG Diploma in Data Science program. It’s India’s first NASSCOM certified PG diploma program in data science.  Business Analytics Courses If you prefer to pursue a career in business analytics, you can enroll in our Business Analytics Certification Program. It lasts for three months only and is completely online. There’s also our Job-ready Program in Business Analytics. This program lasts for 5.5 months and offers more than 70 hours of live sessions and 5+ case studies and assignments.  Another excellent short-term course is Global Master Certificate in Business Analytics which lasts for six months and gives you a certification from Michigan State University, the #32 ranking public university in the US. You can also check out IIT Delhi Business Analytics Course. IIT Delhi is one of the top institutes in India and also one of the oldest IIT’s and is always excelled in giving highly industry-relevant courses, Now IIT Delhi has partnered with upGrad to get these top IIT Delhi courses online. They have a variety of other programs like Machine Learning, Executive Management Programme in Strategic Innovation, Digital Marketing and Business Analytics etc. Our learners also read: Learn Business Analytics Free Final Thoughts Figuring out the difference between business analytics and data analytics can be challenging. However, we’re certain that the above points illustrated the notable distinctions between these two sectors.  Business analytics will be helpful to you if you want to pursue a career in management as it focuses on gathering insights for decision-making. Having this skill will make your job as a business leader much easier. On the other hand, data analytics will be useful for you if you want to pursue a career in the tech sector. It focuses on analyzing and interpreting data to get insights. Usually, data analytics professionals deal with a huge quantity of data so they use advanced tools such as machine learning.   
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by Rohit Sharma

17 Feb'21