India’s iconic tax reform is here. Rolled out from midnight of 30th June, 2017, GST is taking the entire nation by a storm – the GST Council has pegged the tax rates for 1211 items and 600 services, holding a majority of these within 18% tax rate slab.
The GST Council has designed 4 tax rate slabs primarily for numerous items – the rates are as low as 5%, standard rates hover around 12% to 18%, whereas the highest rate found is of 28%. Some of the items had higher effective tax rates before GST implementation, but under the new tax policy, the consumers are to be benefitted at large.
Continue reading “A New India in the Make: GST’s Impact on Items and Services”
It seems some good news is waiting for you – honing your data for effective reports are easier now with the 8.1 release of SAS Visual Analytics. In this technical blog, we will understand the structure of data pane, how it exhibits data from an active data source, and a handful number of tasks, which you might want to perform – like viewing measure details, adjusting data item properties and fabricating geographic data items, custom categories and hierarchies.
Continue reading “New and Improved Data Pane in SAS Visual Analytics Now Goes Painless”
In the US, big data engineer salaries are predicted to range between $135000 and 196000 in 2017, an increase of 5.8% from 2016 salary structure.
In India, big data professionals are predicted to earn salaries in the range of 9.8L INR to 13.10L INR, increasing 6.4% over 2016 salary level.
Continue reading “Big Data Salary Report 2017: A Gateway to a Great Career in Analytics”
Most people decipher – Hadoop and Big Data are the two sides of the same coin. Adding the fascinating word to your resume leads to better opportunities and higher pay structure. But what the future holds for Hadoop? Is it dismal or encouraging?
Continue reading “Hadoop 2017: The Survivor and Not the Casualty”
Astounding amounts of 2.5 quintillion bytes of data are created everyday today. Attached with this post is an informative infographic made by our team of trainers at DexLab Analytics.
The process of Big Data accumulation is best described as the collection of complex and large datasets of such an amount that it becomes difficult to process, capture, store, analyze and search them with the use of conventional data base systems.
It requires the use of more advanced mechanisms to do the same. Currently the use of Big Data is shaping the world around us, offering a deeper qualitative insight within our daily lives.
Continue reading “2.5 Quintillion Bytes of Data are Being Created Everyday”
A large amount of regular commuters of about 94%, feel that they have been harassed by the refusal of the usual Kali-peeli taxis. And about 80 percent of them say that the app-based services like Ola and Uber offer better options and convenience for travelling.
A survey conducted by the Mumbai Grahak Panchayat (MGP), during August 27-31, concluded that 29 percent of app-based cab systems have a very good rating system, while 28 percent of them said they are good. Only 19 percent of consumers revealed they were unsatisfied with the feedback system of such app-based services.
iPhones have become synonymous with innovation, technology and luxury soon after their iconic release by the former CEO of Apple Inc. Steve Jobs. People all over the worlds have been caught in the hype of making the big switch from android phones known for their economic price points and customization to the feel the premium quality usability of an iPhone. Continue reading “The Journey of Iphone Battery Life With Data”
While the media and the tech analysts think that they have got the iPhone 7 all figured out and presume that the iPhone 7 sales will not be much as it is not offering much of an improvement from the previously launched iPhone 6S. But we have taken a look at the data and have a theory that tells a different story. Why?
We think that iPhone 7 is going to be a massive hit because Apple Inc. Is installing its largest ever iPhone user base which is more than two years old.
Here is chart that depicts how many people upgrade their phones to the latest model soon after its launch. We discovered that the switch is highly dependent on the fact of how old their previous phones were. Surprisingly only 17 percent of the people change their phones immediately after the launch of a new one. The people who change their phones immediately after the launch of a new release is the lot with “the next gen phone + 1” or people with phones that are two years or older!
Refer to the infographic below to understand the iPhone switching factor:
Continue reading “Here is The Data Why We Think Iphone 7 is Going to Be a Huge Hit”