What are The Core Components of Data Management

If you have often wondered, why a lot of organizations often find it difficult to implement Big Data? The reason behind that is often very simple, it is so because of poor or almost non-existent data management strategies.

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Impact of Big Data Analytics In Bridging India's Tax Gap!

India's performance on the 'Tax Revenue as a % of GDP' parameter is by far the lowest within the BRICS economies.Estimates peg the effective taxpayers in India to be less than 4-5% of its population.

• The current government has shown emphasised focus on increasing tax base and tackling black money through policy interventions like demonetisation, GST, tax agreements, Benami Property Act, etc.
• These initiatives will allow the revenue departments to develop a data supply chain that will capture and store data at an unprecedented scale, and speed. This data can be supplemented with data generated through digital transactions, JAM (Jan Dhan, Aadhaar & Mobile) trinity, and data from other digital platforms.

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These Big Data Job Roles Will Mass Hire in 2017

These Big Data Job Roles Will Mass Hire in 2017

Data hygienist and machine teachers are two new analytics job roles which have surfaced. Rumor has it that there are several new jobs coming up within the data analysis industry. Here are a few that may suit your skills:

It is evident that Big Data and analytics is transforming our work procedures. Several Human Resource managers are also cutting short the review and revision process for job responsibilities and the long task lists for position descriptions, to portray the active role that analytics plays. 

         

                        Big Data Hadoop training from DexLab Analytics from Dexlab Analytics

If you are already a key member of the commuting workforce should take proactive steps to enhance their skills in the analytics realm. It will come in handy as more employees are expected to work in this field. As for those looking to land their first job, getting a few data analyst certifications can be strong entries to add to your curriculum vitae.

With the Big Data analytics boom, new job roles are also surfacing for the upcoming New Year. Here’s what is new:

Be a citizen data scientist:

Data Scientist are difficult to find, and to further top that off companies cannot afford to hire a good one. As a result a citizen data scientist is born. This is just an analytically talented individual from the organization who actually does not have any formal degrees in either data science or engineering. But still this man can take on the mantle for developing complicated algorithms and queries of data which can yield breakthrough insights for the company.

Hiring data hygienists:

Imagine an electronic tooth brush, yes it does work pretty well. But still a few hard-to-reach areas remain where you must on your own to clean them out, and Big Data is no exception to this rule. While tools are there to clean and prune data, it still requires some human hands to get it to the level of business precision.

Paraprofessional analyst:

Several analytics consulting agencies are already working with healthcare and law firms to help with their diagnosis. This opens up new avenues for paraprofessionals to research and work on, and it will be especially helpful if they have analytical skills.

                              

Here were a few hot job roles that will hire data analysts in the upcoming year of 2017. For more articles, tutorials. News and information on Big Data certification stay tuned to our regular updates from DexLab Analytics.

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SAS Still Dominates the Market After Decades of its Inception

According to the 2016 February report by Gartner, the top slot in execution ability was bagged by SAS and SAS was once again placed in the quadrant of leaders in the Magic Quadrant for Advanced Analytics Platforms. Advanced analytics, according to Gartner, involves various sorts of data analysis through the use of quantitative methods of great sophistication like machine learning, statistics, simulation, data-mining. The report compiled by Gartner further states that the advanced platforms for analytics provide a comprehensive environment which develops and deploys models which include:

• ·         Access to data generated from multiple sources
• ·         Preparing, exploring and visualizing data
• ·         Building and developing models for analytics
• ·         Putting in place models while integrating them with the applications and processes of                   business
• ·         Managing of projects, platforms and models
• ·         Ability to scale up as required and high performance while both deploying and developing

SAS Covers All the Bases-

SAS is widely known for its continuous evolution over a period of time and its unique ability regarding analysis. It is also compatible with various open source tools and is effective in deep learning and machine learning abilities.

According to the majority of experts, SAS provides the best in-depth and advanced analysis of products. SAS has proved to be efficient for specific purposes of business as well as for applications that are wider in range. Its advanced analytics applications are used by customers to increase their revenue and lower the costs incurred by their firm.

SAS has also made important investments in emerging architectures like Hadoop, integration with the cloud, in-memory processing and requirements for modeling on a large scale. It has also solved the lack of skilled professionals by integrating the advanced analytics with intuitive and smart user interface. Because of this, ordinary people can become data scientists with the help of tools like Visual Statistics and Visual Analytics.

It also lays stress on applications with specific purposes like SAS Fraud Management, SAS Asset Performance Analytics, SAS Cyber security, SAS Demand Planning and SAS Energy forecasting among others. Therefore, it can be said that despite its age SAS has managed to remain as effective as ever with the software suite provided by it.

For more details on this topic please visit our blog at: http://www.dexlabanalytics.com/blog/decades-on-sas-is-still-the-market-leader

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Installation guide from DexLab Analytics

Install Hadoop in your PC with this guide from DexLab Analytics. Hadoop requires a Linux operating system but can also do with a virtual alternative setup, to understand the nitty gritties of this complex software, acquaint yourself with the main concepts involved with a course from DexLab. Happy learning!

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13 Advantages of R over Excel in Data Analytics

R holds a significant edge over Excel as far as analysis of data is concerned. Though indeed the number of uses of R programming is less than the utilities of MS Excel it outshines the latter when it comes to the sheer power of conducting analysis and the handling and manipulation of data. Watch this presentation to know more why R holds sway over Excel in the world of Big Data and analytics.

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Easily Analyze Data with MS Excel

This video presents to you some features of MS Excel that make analysis of data a snap. And all this from the confines of your favorite spreadsheet program environment. MS Excel also throws on the platter a host of tools with which advanced users may perform complicated tasks in Big Data and Analytics. So as you can see your favorite spreadsheet program is far more powerful than you previously thought.

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Planning to move your career ahead?

Why your career change must involve Big Data?

Big Data

• The numbers of smart phone users are increasing day-by-day. There are 4.6 million new smart phone connections with GPS and internet connectivity subscriptions daily, worldwide. Hence, even bigger Big Data! This monumental volume of data will have various useful trends and patterns waiting to be discovered and unfolded for giving us a better understanding of human preferences, business necessities and even about our place in the universe.

Analysts & data modelers

• FaceBook has 1.06 billion users active in a month with more than 30 million content sharing done in 30 days! Companies will need investigative eyes of Analysts & data modelers. Due to this growing need for data scientists many IT professionals are thinking of making their career move with Big Data.

SAS Analyst

• Companies which apply advanced analytics to evaluate their data earn 33% more revenue. Thus, SAS business analysts will be an irreplaceable asset to firms. Data analysis tools that were only restricted to corporate biggies like Google and Amazon are now available readily for companies of all sizes to utilize and gather knowledge from data analysis.

R Programmers

• 64% more companies will hire data analysts to outperform their competition. The demand for R programmers will be in hyper-drive in the job market for a few years now. The world of data science as described by most industry experts is a young man’s world, thus, there will be greater openness for newbie pros who have an unquenchable thirst for learning new skills.

For More Info On Big Data

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Some Mind Boggling Data About Big Data

With the ubiquitous presence of electronic devices that have become a part and parcel of our daily lives we are generating huge amounts of data with the passing of each day. But gaining insights from such data sitting about waiting to be analyzed is not possible in the traditional systems of processing and managing data. This is where Big Data comes in to the picture. This presentation brings to you several important and astonishing figures concerning Big Data.

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