Stats on the amount of data being used throughout the world are mind-boggling. A report from Forbes suggests that Google conducts more than 3.5 billion searches every day. This boom in data has provided enterprises with enormous opportunities to derive insights that can help them achieve their business goals. The need for data analytics has […] More
Data science is broadening, and so its branches all across the world. But there includes plenty of challenges that hinders the data scientist when dealing with data. So, let us walk through some major obstacles that are faced by the data scientists. Data Cleansing Big Data has started to cost companies over 25% of the […] More
Evan Esar aptly stated, “Statistics is the only science that enables different experts using the same figures to draw different conclusions.” Undoubtedly, statistics provides a lot of scope for experimentation and learning. Data science is a dynamic field and a recent love for all those who enjoy playing with numbers, algorithms and technology. Thus, it […] More
The world is expanding so does the amount of data available in different fields. We are living in a 100% data-based world. According to the report which is revealed by the World Bank (2012), everyday 2.5×1018 Byte of data is created. This raw data which is created every single day is referred to as Big […] More
Mobile Analytics is getting so trending day by day, with latest advancement and innovations, and nearly all the platforms has introduced different set of tools which is dedicated to analytical application. So, here we have compiled the list of top 7 mobile analytic tools: Amazon Mobile Analytics If you want to measure app usage and […] More
If you are planning to enter in the field of data analytics, we have shared few of the major steps to follow. Data analytics is now becoming one of the most demanded professions. It is estimated that by 2020, most of the companies will invest in data analytics more. It is found that data analytics […] More
What does it mean to be constantly working in “real-time” when we talk about modern data technology? Real-time analytics is, essentially, a method of immediately processing data that are relevant to the organization that is using them. Through real-time analytics, high volumes of valuable and up-to-date information are sorted, analyzed, and interpreted—and therefore ready for […] More
Data is a very important part of software life cycle. It can be considered as the very backbone as the whole functionality of a software is based on data being collected, stored, processed and then shown in a suitable manner to end user. But valuation of data is nothing without processing. This is where Data […] More
With a significant part of the most recent exchange concentrated on the most recent systems in machine learning and specifically profound taking in, the noteworthy advantages of machine learning and profound learning are presently an open reality. However, machine learning as a result speaks to the prescient examination methods that have been utilized for a […] More
Data and its types: Any information being collected is termed as data. It can be a fact or figure or anything that is collected from a source and stored in a place in one format or the other. Data can be classified into following categories: Structured data: Highly organized data which is present in a […] More
The viable utilization of data analytics is rapidly changing the legitimate scene and the act of law to improve things. This is a quick changing territory where the present “utilize cases” will be immediately superseded by new and all the more capable employments of these advances. This post talks about key zones where in-house insight […] More
The vast majority in the tech world have gotten comfortable with the buildup cycle. Another innovation enters the commercial center in the midst of extraordinary desires. Unavoidably, frustration sets in and a conservation period starts, practice and process get up to speed to desires and new esteem is released. At this moment, there is likely […] More
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