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Big Data Analytics is Changing the Face of Manufacturing

October 28, 2016 by glensartain

pexels-photo-12733

The trends of the society keep changing with the passing time and people, businesses who fail to conform to them eventually fail. Data analytics is one such thing which has taken the manufacturing industry by storm and is already being considered by 48 percent of manufacturers as a necessity instead of an option.

Up to 68 percent of manufacturers are ready to invest in it and utilize the results for their betterment of their business. They are stepping in the right direction because the insights on the data will help them in identifying the strengths and weaknesses of their business and work on them. Most of them are even ready to increase the number of investments in this regard.

Big data analytics plays a vital role in helping the organization in harnessing their data for the right motives. They are able to identify new opportunities, attain efficiency and speed, and make the customers happy and profits high. Some of the key takeaways of big data analytics have been discussed below:

Well-informed, quick decisions because of greater insight on the data

Having the ability to analyze new sources of data combined with speed and in-memory analytics, the business are able to work on any piece of information in a relatively less amount of team. Their learning enables them to take decisions immediately and work on them without any delay. It also helps in a quick and easy prediction of problems and coming up with the strategy to cater the workload in the best possible way.

Devising future strategies and determining the correct direction for their employees

There are 50 percent of business owners who truly believe that data analytics enables them to stay on the right path. They are confident that the predictive analysis is making them reach the goals in the most effective way. The employees are guided in the right direction to generate more profits for the company and also attain ultimate customer satisfaction.

Reduced costs and increased profits

One of the biggest perks of big data analytics is that it provides the right direction for the company while reducing the overall costs. The chances of risk are mitigated which ensures that the company keeps generating more profit and all the strategies are designed while spending the fraction of a cost which otherwise goes in forming the agenda of a company.

Innovative ideas and new products and services

The analysis of the data leads to the determination of the demands of the general public. This, in turn, gives rise to innovative ideas which are directed to satisfy the growing needs of the customers. The company will reach a level of saturation if it doesn’t keep introducing new products and services for its clients. The same applies to the manufacturing sector which needs to enhance their scope to maintain a reasonable standing in the market.

The incorporation of these benefits make big data analytics a must for every manufacturing business and open doors for its growth and development.

Filed Under: Big Data, Consulting Tagged With: big data, business, data analytics, data science, data scientist, industry, informtation, job, manufacturing

Want to be a Data Scientist?

March 8, 2016 by glensartain

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It’s an in-demand position, with fewer qualified people in the job market than in other sectors of tech. Job posting/reviewing site Glassdoor named it the number one job in the United States with a base salary starting at just over six figures.

 

Why is this job such a valuable position? This is due to the “big data” trend. It entails sifting through the mountains of information that we produce every moment of our online lives. For example, years ago, OkCupid, the online dating service, was sifting through data, and when they laid the number of users logged in over the weather patterns of a region, they noticed a huge jump in activity from users in a city every time that city got rain. Now, when they pull a local weather report into the system, they automatically send out an email to the users in the city to let them know this rainstorm is the best time to meet someone else who will be online the same time as you. That’s big data. It is as important for Wall Street as it is for the Centers for Disease Control as it is for a clothing store trying to get their advertising to the person that is most likely to want to buy from them.

 

But it takes a lot of digging through endless amounts of numbers and comparing it to an endless number of factors to make sense of the information. So it’s no surprise to anyone that there would be a plethora of educational institutions from online programs to Ivy League universities that are offering curriculum in data science. These can be very expensive programs.

 

Enter Databricks,  a startup tech company that is currently one of the biggest names in “big data” science. They are soon to roll out a new program that allows students a free version of their data cloud service called the “Community Edition.” They are currently accepting applications for the wait list, where students and others will have access to a micro-cluster as well as a cluster manager and notebook environment. They will also have access to Spark training resources. Spark is the name of the Databricks technology they developed while the founders were professors at UC Berkeley.

 

A year ago Databricks unveiled a free online course to train people in a data science using Spark, and the demand went through the roof. 20,000 or so people have completed the course and over 76,000 people have enrolled in it. “We wanted to double down on this. We thought, how can we teach more people, teach 100,000 people how do data science? That’s what we’ve been working on for six months, this version of Databricks,” CEO Ali Ghodsi said.
If you are interested in teaching yourself Spark, in adding to your developer, engineer, or IT portfolio, I highly recommend you read more about Databricks and consider signing yourself up for the waitlist!

Filed Under: Big Data Tagged With: big data, data analytics, data science, data scientist, databricks, job, spark

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