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पाठ्यक्रम और विश्लेषण के विभिन्न क्षेत्र

विश्वविद्यालयों और कॉलेजों में एनालिटिक्स से संबंधित पाठ्यक्रम उपलब्ध हैं। हम केवल कुछ संदर्भ दे रहे हैं, लेकिन आप विस्तृत अध्ययन के लिए संबंधित विषय सामग्री देख सकते हैं। दुनिया भर के कई विश्वविद्यालय और कॉलेज एनालिटिक्स पर एमबीए पाठ्यक्रम प्रदान करते हैं। ऐसे पाठ्यक्रमों के पाठ्यक्रम संबंधित विश्वविद्यालयों की वेबसाइटों पर उपलब्ध हैं, लेकिन अधिकांशतः उनमें इस वेबसाइट पर चर्चा किए गए विषय शामिल होते हैं। एमबीए एक ऐसा विषय है जो एक विशेषज्ञता के साथ कई अन्य विषयों को शामिल करता है। इसलिए, प्रासंगिकता के उद्देश्य से, आप एमबीए (बिजनेस एनालिटिक्स) के अंतर्गत आने वाले अन्य विषयों के नोट्स देख सकते हैं। इस खंड में आप एनालिटिक्स के अंतर्गत पेश किए जाने वाले विशेषज्ञता के उभरते क्षेत्रों का उल्लेख कर सकते हैं।

1 

HR Analytics

Human resource planning, acquisition and retaining require a lot of data collection and management and hence, human resource analytics is one of the emerging specializations in the analytics field.

2

Financial Analytics

Financial analysis has been existing since long time, using analytics in financial affairs means analyzing large scale data relevant for financing many projects related to business, evaluation of financial outcomes of firms production and presenting key variables in dashboard for quick use of business decisions.

3

Market Analytics

Although social media and web analytics are part of market analytics, sometimes, to refer to specific purpose of branding, position, and market products of digital platforms, education houses offer market analytics courses and certification programs.

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4

Healthcare Analytics

Health has become a very important topic after COVID 19 outbreak. health care analytics is now referred to frequently by companies and public administrators to control diseases and provide health care services to the people. This require a dynamic, big data analysis with accurate information about disease spread, infection rate and population affected etc.

Marketing Analytics (MA)

It is the process of collecting data, analyzing and creating useful insights for marketing decision making. The goal is to achieve quantifiable objectives of marketing e.g. maximize return on investment (ROI).

 

Why is it important?

1. Better User Experience

2. Achieve Cost Effectivity (ROI)

3. Design Marketing Strategy

 

Let's understand with an example.

For example, say you release a campaign for your product that costs $500 to produce that. You can track number of people on your website using web analytic tools. You came to know that viewers of your campaign on the web site led to 20 new customers in a week. If your product costs $30, and each new lead bought one, you can attribute $600 of revenue to the video. The net profit, in this case, is $100.

You can calculate ROI like this:

ROI = ($100 / $500) x 100

ROI = (0.2) x 100

ROI = 20%

 

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Data Sources

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​Primary

The data coming directly from your team, your website or collected by you.

Usually techniques like surveys, interviews, sales force opinion, group discussion are used for these data. 

Secondary

Someone else has collected and you are using that to generate insights.

Reports, data of census and other government agencies, data archives are sources of secondary data.

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Important Terms to Know for MA

  1. Market Sizing

  2. Sales Forecasting

  3. Market Segmentation

  4. Top down and Bottom up approaches

  5. PESTEL analysis

  6. Porter's Five Forces

  7. Bucket Testing

  8. Lift, Confidence and Support

  9. Pricing strategy

  10. Demand curves

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