Tag Archives: Big data training

The Only Prerogative to Combat Ransomware is Predictive Analysis

The-only-prerogative-to-combat-Ransomware-is-Predictive-Analysis

Things are not at all going right in the technological sphere. The domain is shrouded under the dark haze of WannaCry Ransomware this weekend. After the relaxing weekend, the Monday morning situation could never have been worse. The figures revealed on Monday evening by the Elliptic, a Bitcoin forensics firm, affirmed with the duty of keeping a close watch, confirmed a digit of $57,282, 23 shelled out to the hackers of Ransomware malware attack, who took over innumerable amount of computers worldwide on Friday and over the weekend.

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The recent past has been witnessing the unprecedented malware attack across 150 countries. The current picture describes more than 200000 systems around the world being affected and the loss of tons of data.

Also read: How To Stop Big Data Projects From Failing?

A few years back also, Ransomware was unheard of and today it has emerged as one of the major issues of concern. So, what is the solution now? Several veteran data scientists and the honchos of the technological world have voted for Predictive Analysis   as the ultimate solution for destroying Ransomware.

With the conventional cyber defense mechanisms at a backseat, Predictive Analysis defense technology remains the ultimate resort for any organization. The Predictive Analysis is mainly dependent on instituting a pattern of life within the enterprise and saving from disgruntling malware and similar disturbing activities.

Also read: What Sets Apart Data Science from Big Data and Data Analytics

Paul Brady, the CEO of Unitrends, explained the procedure where the backup system uses the tools of machine learning to identify and understand that certain data anomalies indicate the threat of a Ransomware attack.

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So the above mentioned description clearly depicts the many advantages of Predictive Analysis. Now, the sad part of the story remains, that the difficulty in management remains the major blockage for the employment of this method. Let’s hope for the best and wait for the day when Predictive Analysis would be the only possible solution. Till then gather information on SAS predictive modeling training in Pune and Gurgaon only at www.dexlabanalytics.com

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Get Acquainted With Your Daily Dose of Big Data Analytics

Get-acquainted-with-your-daily-dose-of-Big-Data-Analytics

What is trending in the technical world? Big Data is the word. The sudden upsurge witnessed in the IT Industry has equivalently led to the emergence of Big Data. The complexities of the Data sets are extremely troublesome to co-ordinate activities with the usage of on-hand database management tools. Hence, the shift to this catchy phrase, dealing with homogenous amount of data and is of uttermost importance. Let’s have a quick tete-a-tete with this newest branch of science i.e. Big data Analytics.

Also read: Big Data Analytics and its Impact on Manufacturing Sector

  • A for A/B Testing– A very essential element of web development and big data industry, it is a powerful evaluation tool to decide which version of an app or a webpage is extremely effective to meet the future business goals. Also, this decision is taken carefully after comparing the numerous versions to select the best from the rest.
  • Set the standards for Associate Rule learning– The structure enlists a set of technique in the quest for interesting relationships or the ‘association rules’ amidst variables in massive databases. For better understanding refer to the flowchart attached in the blog, describing a market analysis by a retailer, assuming the products which are high on demand and the usage of this data for successful marketing.
  • Get a better understanding of Classification Tree Analysis-In clearer terms, it is the method of recognizing the category in which the new observation falls into. Statistical Classification mainly implements to:
  1. Classification of organisms into groups.
  2. Automatically allocating documents into categories.
  3. Creating profiles of students enrolling for the online courses.

PS: For the better understanding, take a quick glance at the illustration attached below.

Also read: What Sets Apart Data Science from Big Data and Data Analytics

  • Why would you opt for Data Fusion and Data Integration? The answer is simple. The blending of data from multiple sensors, data integration and fusion leads to the total accuracy and direct more specific inferences which otherwise wouldn’t have been possible from a single sensor alone.
  • Mingling with Data Mining – To be precise, Data Mining is nothing but the collective data extraction techniques to be performed on a large chunk of data. The parameters include Association, Classification, Clustering and Forecasting.
  • The cloning of Neural Networks- This includes Non-Linear predictive models for pattern recognition and optimization.

This was a quick introduction to the world of Big Data Analytics. With this get to know more about the Big data certification course in Pune only by logging at www.dexlabanalytics.com.

Interested in a career in Data Analyst?

To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
To learn more about Data Analyst with R Course – click here.
To learn more about Big Data Course – click here.

Telecom Industry is Cashing on Big Data Analytics

     

The term telecom is a very big word in the business world today, especially with the concept net neutrality which has flooded all over the world over the past few months.

How adoption rates are increasing at light speed:

The issue of whether companies should create hierarchical internet services is still a matter of debate, but still there is one technology that all the giants in the telecom industry like AT&T, Verizon and Comcast are using, to capitalize on their competitive advantages. If they can get access to the data that circulates through their networks in each second, then they can find better ways to deliver phone, internet and television services. So, why not analyse the heck out of that data?

After all it is a fact that telecommunications companies have built their very business on information. So, this should not come as a surprise that they would be willing to spend a lot in programs to qualitatively analyse of data.

Watch our video attached here to know more about how telecom companies ca reduce customer churn and better their service delivery:

Interested in a career in Data Analyst?

To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
To learn more about Data Analyst with R Course – click here.
To learn more about Big Data Course – click here.

Installation Guide from DexLab Analytics

Dexlab Analytics presents a handy installation guide to all aspiring data analysts to test their hands on Hadoop ecosystems. It only works in a Linux environment and hence, can be tricky to handle. This step-by-step guide will help you through to get this useful software installed in your computer and to start making sense of all the chaos surrounding data.

The Hottest Job Locations for Data Analysis Personnel are:

The current salary trends of analytics personnel

In India the hottest job locations for a data analyst position according to our pay-scale and job scenario survey are – Gurgaon, Mumbai and Bangalore. For more details on payment packages on offer for various data analysis positions view our infographic with numbers based on industry-based survey.

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For More Info On Data Science

The Amazing Big Data Figures

Huge amounts of data are being generated daily. However traditional systems of managing
data fall short when it comes to analyze such huge datasets. The answer to this riddle lies in Big Data. According to Data Scientists working for IBM, Big Data may be broken up into four dimensions and this presentation brings forth to you some startling and astonishing figures concerning each.

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New Survey Finds Increasing Big Data Adoption

New-Survey-Finds-Increasing-Big-Data-Adoption-01

NewVantage Partners have over the course of the last four years which has found that Big Data has quickly become the part and parcel of the day to day activities of most of Fortune 1000 companies.

The opinion of the crucial decision makers within organizations was taken into account. Financial led the way in investing in Big Date infrastructure. Also of note is the fact in the field of life sciences too usage of big data is increasing by the day.

Other findings of the survey are:

  • In 2012 just a small group of 5% of firms had in place a system of Big Data analytics which in 2015 rose to 63%.
  • In 2012 only 24% of firms claimed to have expectations to invest $10 million or more in Big Data by the year 2017 which rose to 63% in the year 2015.
  • At present a majority of 54% of companies have in place a Chief Data Officer which rose from 12% in the year 2012.
  • In 2012 only 21% of firms reported that their firms held Big Data to be critically important which rose to 70% in the last year.

During the starting year of the survey the executives of organizations were struggling to come in terms to properly perceive the impact and opportunity that Big Data might potentially hold. But today it has become the standard norm for corporate organizations and the focus is rapidly shifting to results produces and the business capabilities enabled by the same.

There is also a need to develop the appropriate metrics. While indeed the majority of Fortune 1000 companies’ implemented capabilities in Big Data, few have demonstrated the business value derived from the investments over time. Organizations with responsible executives for data who report to a Chief Financial Officer are often more likely to have developed financial measurements that are precise.

Innovation remains a source of much promise in the field of Big Data and innovation opportunities need to be identified. There is a dearth of success stories in innovation in things that are enabled by Big Data. Till now its success has largely been limited to savings on cost of operations or being able to analyze data sets that are larger or more diverse. Innovation in Big Data led applications need to be funded more and its practitioners need to exemplify imagination as well as boldness.

Businesses and the analytics industry needs to prepare for both business and cultural change as a new generations take their place in the workplace who have grown up on tools Like R Programming and Hadoop. There is great need for organizations to realize that Big Data is more about cultural change rather than solely technical change.

Big Data Certification

If you too want a piece of the bigger pie of Big Data as a practitioner, then you should try to train yourself for a promising career through proper Big Data Courses in Delhi as conducted by a leading institute like DexLab Analytics.

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Big Data and Analytics trends of 2015

The best way to begin speaking about how interesting the past year was for Big Data is to say that – there will be more.

Big-Data-and-Analytics-trends-of-2015

By more we mean that there will be more data, thus, there will be more data scientists, data analysts, more cloud analytics, more mobile analytics and data discovery. So, it is evident that Big Data will only get Bigger this New Year on 2016 with more data to visualize.

But if you are new in the world of Big Data Hadoop courses and are only beginning to acquaint yourself with Big Data, here are a few special trends of 2015 that you must keep a close eye on, this year.

You can make magic:

The technologies we use today are nothing short of sheer magic that, we could only imagine in our wildest dreams even a few years ago. But in the field of Big Data Hadoop and other data analytics tools, nothing such amazing has been noticed yet. We only know of tools and features that get the job done with some difficulty, but nothing that gives us data magic on our very fingertips. Thus, the world of data science still requires shepherds who would oversee and micromanage each and every step of data analysis. We still need people to manage aspects like – where to find data, how it should be stored, how it should be stored and most important how to analyze it and what conclusions to draw from the analysis.

Experts suggest that all this would soon change with advanced technologies being incorporated into the world of analysis to further automate the process. Things like machine learning with other advanced analytics tools are being applied to data science to further upgrade the process.

Insiders now want advanced tools that help them take care of the trivialities fast and get to analysis sooner with facilities like – simply pointing them at the data and allowing the algorithms to figure out things like how to join the data, propose complementary data, and cleanse it and to optimize it to determine it should be stored. Thus, 2016 will see more developments in this aspect of advanced automation.

Make way for multi-polar analytics:

Nowadays the layer cake approach of model analytics is slowly becoming obsolete and a practice that was thought of as the best – with external data feeding data marts and warehousing data with Bi features, as the final touch is fast being replaced with a multilayered or multi-polar approach. So, this New Year we will gain a better idea of how we can get better results from realistic yet complex data analysis centres.

Data privacy laws:

Currently there is a huge room for development in the world of data science contrary to the rate of development in the technologies. Already there have been reports of serious abuses with important data and we expect that 2k16 will see some strict actions in encryption practices in data.

In conclusion, 2016 will be a wonderful year for data analytics with increased adaptability.

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Is Predictive Analytics the Future of Big Data?

Is Predictive Analytics the Future of Big Data?The analysis of big data has for long been the cornerstone that technologists and futurists swore by in the recent past.

Enterprises look forward to this analysis as a source of valuable insights the operations related to their business as well as finding correlations within revenue and the activity conducted in the field of sales and marketing.

Frameworks like Hadoop are not only open source but also make data storage more effective both in terms of analytics tools as well as costs associated with the storage of data.

Situation Set To Change

But the prevailing situation is in for some serious change as large data set analysis undergoes a paradigm shift from what happened or is happening to what will happen. Machine learning, the concept of cloud computing as well as technologies that work in-memory all are contributing to this shift.

This shift is termed predictive analysis and promises to be the next big thing in the exciting world of Big Data. With it, Enterprises shall no more be confined to insights gained through analysis of data and react according to it but will be able make pretty accurate forecast of the state of their business a month, week or hours down the line through an effective combination of historical, third party and real time data.

This in turn will allow prompt action on potential problems like failure of machinery or depletion of stock and also to cash in on euphoric or depressed moods common after sporting events. However the focus should be on action than mere forecasts.

The Impact on CRM

CRM or customer relationship management software is a key area where predictive analytics can prove to be of invaluable help. Here predictive analysis will help marketers and sales people to be aware of the impact that their activity will potentially have and also to be able to provide content and pitches that are more personalized. This option is far better than simply to rely on the historical data about interactions made previously.

Inside Sales is a IT specialist in analytics and machine-learning and is one of the companies that is making use of this concept by not limiting itself to analytics but extending to the sphere of predictive analytics with a service based in the cloud.

Their system takes into account data from CRM platforms like Microsoft Dynamics and Salesforce and then proceeds to analyse the same against sales interactions that are suitably anonymized and are in tune of over 100 billion in number from the breadth of its worldwide customer base.

Why It Is Superior

This results in the predictive analytics that is both more effectively enhanced and expanded. This is due to the fact that the data possessed by the company is compared to an aggregated data mass.

When put into practice a company is able to figure out its performance vis-à-vis global and regional trends in sales in this particular sector and to find out key influences like economic factors, current affairs and maybe even the weather on its sales.

You have to know clients as people if you need to win them and then you’ll make more intelligent choices about their needs and practices.

The Workforce

Big Data training is essential for creating a workforce that can suitably match the demands of Big Data and its associated technologies and processes.

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