Frrole, a Bangalore-based startup specialising in Twitter analytics has raised close to a quarter of a million dollars in a round of Angel funding. Frrole is one of several Indian startups that are now starting to grow and expand globally, in this case aided by crowd-funding platform LetsVenture, aimed at
Tech Mahindra Ltd, one of India’s biggest IT services companies, has purchased US-based FixStream Networks, a big data analytics startup. FixStream Networks Inc, started only a year ago, already has large tech companies as its clients, including Cisco Systems, CenturyLink, and DirecTV. The 75% stake in the company was purchase
Malaysia is entering into the competition to be the next hub for big data, up against neighbouring countries like Singapore and South Korea. The Philippines are training 200,000 students, while India is teaching a massive 500,000 students to use R, a big data statistical platform. Where Singapore has invested S$180
The big data revolution is not localized, and now Bangalore is being swept up in the global trend. According to experts, upwards of 35,000 jobs will be created in the analytics industry, with a good third of those in Bangalore. “Bangalore is the biggest recruiter in India for analytics, followed
From schools and universities to libraries and museums, public sector organizations are constantly battling with budget restrictions. The trade-off between offering better services with reducing costs is always a challenge, especially for those in the public sector. Indeed, considerations like this have played a crucial role in the emergence of Business
Last week, CropiIn Technology Solutions, an Agriculture technology provider, raised funding from Invested Development. It is said that the money invested in the company will be used to improve its technology, hire more talent and explore opportunities in new markets like Kenya, Mexico, Indonesia and the Philippines. Although CropIn did
In 2012 the world witnessed the enormous impact of big data analytics in the political sphere. Psephologists and data scientists were busy analyzing, predicting and utilising the vast amount of data across various Internet platforms to not only predict the outcome of the presidential elections, but also to influence voters.