This document provides guidance on starting a big data startup. It outlines the large and growing global market for big data technologies. Some key points include: - The worldwide big data market is projected to grow from $42B in 2018 to $103B in 2027, a compound annual growth rate of 10.48%. - Indian big data market offers many opportunities for startups. - Legal registrations like GST, MSME, ISO licenses are required to formally establish a big data company in India. - Popular areas to focus on include healthcare analytics, financial technology, AI, and more. - Example big data startups that have found success include Looker and DataRobot.

1. How to start own Big Data Startup
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2. This Content is Beneficial for following:-
• Big data Analyst
• Big Data Professionals
• Big data Enthusiasts
• Big Data Developers
• Big Data Technology innovators
• Big Data Company Owners
• Big Data Investors
• Big Data Inventors Startups
• Big Data Startup Starters

3. Market Growth and Market Opportunities
• Worldwide Big Data market revenues for
software and services are projected to
increase from $42B in 2018 to $103B in
2027.
• Attaining a Compound AnnualGrowth
Rate (CAGR) of 10.48% .
• The entire global software market is
forecast to be worth $628B in revenue, with
$302B from applications.
• Indian Big data Market is huge with ample
opportunities.

4. What Legal and Registrations Requirements:-
• Start with a Structured Entity (Pvt Ltd or LLP)
• Start with having Legal GST no.
• Have MSME
• Get ISO License
• Software Technology Parks of India
• IPR Licenses
• Import Export Code
• Shops and Establishment License

5. BIG DATA Ways
• Big Data/Analytics Hardware
• Big Data/Analytics Software
• Big Data/Analytics Platforms
• Big Data/Analytics Projects
• Big Data/Analytics Systems
• Big Data/Analytics Blueprint
• Big Data/Analytics Tools
• Big Data/Analytics Resources

6. Tech Big data areas to work on
• Bio Big Data
• Demographic Analysis
• AI Big Data
• VR Big Data
• Fintech Big Data
• Research Platform
• Security Management
• Healthcare Analytics
• Market Performance
• Weather Systems
• Industrial Analytics
• Logistical Big Data
• Traffic Management
• Tourism Analytics
• Insurance Analytics
• Big Data/Analytics Dashboard
• and much more

7. R&D of Big Data Future approach :-
• R&D/Research
• R&D Tools
• Startup Tools
• Market Research
• Surveys
• Consumer Analytics
• Market Analytics
• Industry Analytics
• Trends Researching

8. Big Data Platforms where we can implement
it:-
• Business Automation
• Business Process
• Business Strategy
• Business Model
• Business Management
• ERP
• CRM
• Human Resources (HR)
• Recruitment
• Intranet
• Collaboration
• Project Management
• Document Management
• Customer Support
• Business Automation Tools

9. How to Start a Big Data Company in India
• Start small
• Experiment
• Process data wisely
• Combine machine and human approach
• Find the team
• Use of Right tools
• Expertise come from practice

10. What can be done through big data :-
• Start a data mining consultancy service
• Business Intelligence consulting
• Set up a scientific computing service
• Fraud detection services
• Create and sell Data management software
• Create and sell Security software
• Start an advanced analytics company
• Start a personal data protection agency
• Build and sell self-sufficient data mining and analytics tools
• Start a data analytics blog
• Start an online data protection firm
• Start an ecommerce platform
• Start a customer relationship management (CRM) service
• Private Cloud Servers business

11. Basics are foundations you cant ignore it:-
• Infrastructure
• Cloud computing is your friend
• Developers are your friends
• Put the data scientists front and center
• Open source matters, but only if you make it matter.
• Choose the right role. ...
• Take up a Course and Complete it. ...
• Choose a Tool / Language and stick to it. ...
• Join a peer group. ...
• Focus on practical applications and not just theory. ...
• Follow the right resources. ...
• Work on your Communication skills. ...
• Network, but don't waste too much time on it!

13. Startups
• Looker
• Looker is a Big Data analytics software company established in 2011. It provides
software solutions which help different organizations with Big Data management.
With this solutions, the process of data collection and processing become much
easier. Moreover, the software improves data sharing among all departments.
• It all led to a fact that now the company is more than 170 million dollar
entity. Looker can also boast about its cooperation with such big dogs as Amazon
and Sony.
• DataRobot
• DataRobot is a company, established in 2012, which deals with Machine Learning
tasks. Its founders established an automated ML platform based on data science.
The platform can be used to build very precise predictive models which allow
business owners to save money on predictive analytics. The tool is so powerful
that it raised $120 million in funding.

15. Case Study:-

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