It has been recognized that most startups have one **** in common, and that is the fact that using their innovative ideas they can use big data wisely and effectively. They influence the market direction and user behavior by using the huge amount of data collected from various analytics tools and campaigns. Most of the startup app development companies and their experts are now focusing on using the huge amount of data generated by the users in their apps.

Starting a business is always a risky proposition. Whether its users, investors and funding, whether its growth or not, this is not guaranteed. Around 97% of startups in the world are not successful and only 3% of startup ideas are executed. There are many reasons behind the success of a startup, it could be the uniqueness of the thinking idea, it could be the UI/UX design of the application being built or it could be the solution or mitigation of a problem faced by the public or a business. Recently, it has been recognized that most of the startups have one **** in common and that is the use of big data that can be used wisely and effectively with their innovative ideas. They are influencing the market direction and user behavior by using huge amount of data collected from various analytics tools and campaigns. Most of the startup app development companies and their experts are now focusing on using the huge amount of data generated by the users in their apps. Taking a simple example of how organizations are using big data, Xerox, an international company that sells document solutions, has halved its employee turnover rate by recruiting the best talent. Using cognitive analytics and personality skill tests, Xerox identified the right resources to match actual job descriptions. With the help of big data, they discovered the relationship between employee retention and employee engagement. This is one of the best ways that startups can capitalize on the massive amount of data being generated every second. There are several other ways in which startups can put big data to work and utilize its tools and techniques to their fullest potential. If it's a startup, or if it's brewing its own idea, then it can adopt the multi-billion dollar proven strategy for big data analytics, which is the implementation strategy that globally renowned vendors used to startups. Profitability Strategies Big data technology is maturing day by day since its birth in 2006. Earlier, it was a batch process. But organizations demanded instant insights into real-time data and many advanced big data startups came into existence including companies like Couchbase, Cognonto, MapD etc. to bring the best analytics and processing technology. Starbucks : Coffee giant Starbucks Corporation has used big data to determine whether their new coffee shops can be successful in specific locations adjacent to other stores. And after opening neighboring coffee shops in the same area, Starbucks has ensured the success of all their stores by using location-based data, demographic data and customer data. With this data, they can determine the success of each new location based on trends in revenue growth.CapitalOne:US financier CapitalOne has delved into the spending habits of their customers through demographic data and they are able to determine the best time to present their customers with a variety of offers to ensure more leads and the highest number of conversions. Amazon: this is a great example in e-commerce and retail that uses big data to make people love the platform. According to the latest 10-K annual report, Amazon.com generated $6.4 billion in sales from its retail subscription services. It has been focusing on smart marketplace visualization and better process mapping. Amazon.com has also realized that in order to personalize and humanize customer interactions, they have to be well-informed. And, as a result, customer data in every form is useful. In the days ahead, savvy retailers will pay more attention to their data collection efforts so they can best use the results. In order to make the most out of big data, as startups should understand that transparency and providing a sense of control to consumers when using their products and services is the best way they can gain their trust. Because they won't be impressed by how much a business knows about them, but rather interested in what it finds. Now, businesses have to decide how best to use the data. And be able to find some more innovative ways to deal with big data.