Introduction
Data analytics can refer to the technique which is used to analyse data to enhance the productivity of the business to gain something. Data can be extracted through various sources and can be coordinated in the 2A category to be analyzed in a behaviour pattern.
The techniques and tools might vary per the organization or the individual who is using them. If you can understand business administration and can perform exploratory data analysis which is used to gather information then Data analytics is the career path that you should choose.
Many tools are used in Data analytics such as r programming, python, tableau public, Qlikview, SAS, Microsoft Excel, rapid miner, Apache spark. Data analytics brings out major components that can help you see several initiatives to vary from. All this data when combined will provide you with a clear picture of where you are, where you have been and where you should go.
When the pandemic hit us all the organizations that have been using traditional analytic techniques using all the historical data suddenly realized that there was no relevance to these models and most of the data became useless. The trends in data analytics can help an organization and society to deal with the radical uncertainty and the opportunities that come in the future. The transition of big data to white data is one of the top trends of Data analytics and all these trends represent the business and the technology dynamic that no company can I choose to ignore. the different kinds of trends are
• composable data and analytics
• smarter, responsible, scalable AI
• data fabric is the foundation
• from big to small and wide data
• XOps
• engineering decision intelligence
• D&A as a core business function
• graph related to everything
• the rise of the augmented consumer
• d&a at the edge
The Best Data Analytic Startups In India
• Cropin
It was founded by Krishna Kumar, Kunal Prasad, Chittaranjan Jena in the year 2010. The company is based in Bangalore and has proven its worth by interpolating the SaaS model India in the agricultural sector. They also kept the prices of a gradient business in mind to solve this by providing solutions for farmers in the financial analytics sector and by the four sides of weather through data interpretation and satellite monitoring as well as Geo tapping.
The main aim of the company is to trace down each farm. The company provides ML and AI-driven weather analytics, proprietary algorithms, particularly for agricultural technologies. They also provide improved farming failure risk management and data security.
• Limbic
It was founded in the year 2012 by Ashish Rishi and Satyakam Mohanty. The company is based in Bangalore and provides a unique expert analytic tool that has been patented. MIRA, also known as machine intelligence for research and analytics, provides a filter that varies the contextual data and formulates the actions that are needed to convert it into data insights.
In general, it works as a virtual data analytic in a far more advanced way than any other tool. The company has one of the most dedicated teams of intellectual data scientists and analysts who have developed many tools accompanied by advanced technology. The main purpose of the startup is to provide a practical and optimised decision-making system for all the business leaders to structure the foresight in a natural language based on data inputs.
• 3LOQ
The founders of this company are Anirudh Shah and Sunil Motaparti. 3LOQ was founded in the year 2014 and is based in Mumbai Hyderabad and Bangalore. 8 of a habitable AI platform that can drive the data to solutions that provide and enhance customer engagement throughout the financial sector.
The main aim is to build air-driven Data analytics for big data and to drive the psychology which will help in the extraction of revenue through BI. It will help you strengthen all the acid management systems in terms of digital banking services which will provide streamline and personalized communication for the customers.
Recosense was founded in the year 2014 by Amit Shrinivas, Shivakumar Janaki Raman and Raghunathan Patthar. The company is based in Bangalore and they have proven data and analytics solutions for travel as well as e-commerce and financial services with the help of real-time user interaction.
The company has enabled an interpretation tool that is independent to generate the most efficient and optimised metadata for its users. It has an automated feature that will personalize the content for the users and will provide an insight on revenue generation as well as content exploration to increase engagement. They have provided data analytical solutions which incorporate the frameworks of ML and NLP to derive the data based on users IP addresses.
• Realbox
Saurabh Moody, Arjun Sudhanshu, Preksha Kaparwan are the founders of this company. It was founded in the year 2015 and is based in Delhi. The farm uses pulse as its primary predictive analysis and BI tool which helps them to utilise risk management and to boost ROI.
The company aims to deliver a distinctive experience to all its clients who comprise the modern-day physical business. They try to solve the real-time issues related to Big Data analytics and this results from large quantities of customer data in India as well as abroad. They also acquire a flagship tool known as a pulse which works similarly to Google analytics.
Lead Semantics was founded in the year 2013 by Prasad Yalamanchi. It is based in Hyderabad and has successfully brought about the implementation of point and click narrative analytics which can be used for the predictions of business as well as cognitive analytics and look out for a deeper insight.
This is a cloud business intelligence company that focuses on data science solutions and is integrated with deep semantics through the internet. They acquire a tool that facilitates IT growth among entrepreneurs who acquire very little knowledge about analytics. The internet-based data analytic model which they acquire is a user-friendly interaction tool that uses semantic and machine learning graphs as well as NPL.
Closing Thoughts
Data analytics is the future where every data company will require a professional scientist to handle the chunks of data that comes in and needs to be filtered for the maximum output. The global big data market is expected to be around 229.4 billion USD. The use of big data and data analytics is growing day by day at a rapid pace. All businesses are adapting to the disruptive technologies which bring out the potential of business intelligence. Data can also be termed as the digital currency and the advancements have enabled the major growth of companies. India is one of those countries where the startup culture has grown in an enormous amount. Old startups in India have received support from the public as well as the private sectors through investments boring in and making them even more significant.
