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In India, we have a population of 1.45 billion people. When compared to the populations of other countries worldwide, combining the populations of several prominent nations can be roughly equivalent to India's population. This highlights India's sign

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“China Manufacturing strategy breakdown” Do you know China is Earning whole India gdp with the help of manufacturing. Basically China is entrepreneur economy and around 29% global manufacturing belongs to china worth ( 4 Trillion dollars ). Chin

Let's Check How You Understand 1.40 Billion Indian Customer base — 1=} Do you know about indian customer buying behaviour data ? 2=} Do you know about Indian customer daily purchasing routine ? 3=} Do you know about Indian customer paying c

How D2C brand use data to build deeper customer connections and skyrocket sales! Audience identification and segmentation enable tailored marketing, personalized experiences, and better customer retention. D2C brands like Glossier, Dollar Shave Club

Data analysis for business: Data analysis is a powerful tool that businesses can leverage to gain a competitive advantage. Here are some of the key ways it's useful: Understanding Customers:Businesses can analyze data on sales, demographics, and cu

I have customer(doctors) data like phone number, name and location if someone want that data in every cheap price tell me.

Ask For "FeedBACK" or You'll get "Back" in your Startup, Copywriting, Business or Anything! 📉 If You Don't ask for feedback in your Work ▶️ You Can't Research. ▶️ You Can't Execute Next Task. ▶️ You Can't Intro your Product or Service. ▶️ You C

(2/3) 4. Intellectual Property Protection: Protect your intellectual property by registering trademarks, copyrights, and patents as necessary. This helps safeguard your brand, products, and innovations from infringement. 5. Compliance with Tax Laws

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin