A leading telecommunications company Telefonica in Spain with 3 million customers and more than 17 million mobile customers is making huge profits from Big Data and Business Intelligence . With the help of Big Data and Business Intelligence the company is now able to analyze the preferences of its audience and improve customer satisfaction. With its big data investments Telefonica now builds a customer recommendation profile that gets updated every 24 hours and this result is fed to the real-time TV environment.Telefonica Spain can now recommend personalized programs to a viewer in a specifc time period and context.
(Source: http://www.forbes.com/sites/oracle/2016/12/05/telefonica-gains-real-time-advantage-with-big-data-analytics/#3f2b69ad4e31 )
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Companies like ColorGenomics are using genetic testing to identify customer’s risk of developing different types of cancers. The Vice president of Glow ,Jennifer Tye, says that they need gender specific perspective on lot of different diseases. Glow has developed an app which allows to track the menstrual cycles. She also says that they need more data related to fertility. They are very much anxious to know what the app might do and what they may be able to learn from the aggregated data.
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Journey Analytics , an application using big data and advanced analytic technologies helps companies optimize customer interactions to predict future behaviors.Journey Analytics has its own product category with no less than 42 vendors creating tools which tackle various problems like journey automation, journey testing, journey design and data fusion.
A multinational manufacturer of medical devices and bioinformatics, pharmaceutical and consumer health products is focussing prevention, interception and cure for diseases by analysing big data in the cloud. According to the CTO and Vice President of the company-data science is making a transformational impact on health. The manufacturer has diverse types of data- structured, unstructured, voice, image and video datasets on which advanced analytics and data science techniques are leveraged.The manufacturers hybrid cloud architecture runs over 120 applications and is able to make faster, quicker and better decisions.
AtScale announced the results of 2016 Big data Maturity survey. The survey was conducted in across 77 countries at 1,400 companies and more than 2,550 big data professionals participated in the survey.The survey reveals an increasing surge in cloud deployments for big data. With more than 50% of organizations already deploying big data in the cloud, the survey found that 72% plan to deploy in future. One in five respondents to the survey are using more than 100 nodes, of which 74% are in production.The survey also revealed that BI is the number one workload for big data.2017 might be the year of BI on big data as 75% respondents to the survey plan to use BI on Big Data.
(Source: http://finance.yahoo.com/news/industrys-most-comprehensive-big-data-133000994.html )
The breeze of Open Source technologies combined with high pressure wave from analytics has created a storm, which has transformed the whole IT industry and the perspective with which we have been seeing the data. There is no industry which not have been touched by open source technology specifically Hadoop. The most recent being the Oil and Gas Industry, which is the most critical, accident prone, and amalgamation of varied technologies. This creates the native environment for Hadoop, as we all know, the power lies in processing of all types of data. As the oil and gas industry is growing at a very higher rate, the velocity of data has grown too and the need to have a consolidated view of all the data sets from all sorts of world, like legacy databases, sensors, IT, external sources, etc., has pushed this industry to shift to open source analytics technologies like Hadoop, which has helped them to identify potential failures 3 to 4 times faster. Apart from this, using these technologies, companies are able to monitor safety critical equipment deployed in offshore ships, encrypt system data and transmit it, which are located in remote areas connected to a very minimal network bandwidth in real time.
The future of every country lies in their government and the people living in that country. A major contribution in the country’s development is the revenue generated from taxes. The world largest democratic country, India, have the lowest tax revenue as a % of GDP within BRICS. If we estimate, then only 4-5% of India’s total population pays tax. But, various policies like Benami Property Act, demonetization, GST, Jan Dhan, and Aadhar, will help revenue department in collecting data at a very high speed. But gathering data alone will not help in providing a win-win environment for everyone unless there is vision, a proper approach for making this data intelligent. Emergence of new technologies like Big Data and Hadoop, and analytics will help in co-locating all the data and generate insight from that data which in turn will help the tax departments in distressing the malpractices like circular trading, transfer pricing manipulations, hawala, sales under declarations etc.