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SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

In depth customer behavior analysis using big data and social trend

Big data analytics can analyze the past behavioral data of humans. It is highly correlated to future outcomes.  The most important task is to understand how much emotional extent can be predicted accurately. By analyzing critical reasoning and judgmental decision, there will be higher chances to predict more efficient human behavior. Social media plays an important part by providing more sensitive data having higher emotional quotient. Search dynamics also help to predict future trends. Therefore, combining big data, transaction data and social data along with shopping behavioral data opens a new horizon which enables marketers to influence human behaviors and perceptions. To read, follow: : http://www.forbes.com/sites/forbesinsights/2016/02/02/has-big-data-taken-the-human-out-of-human-behavior/#2280493b170c 

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Great leaps of 2015 in machine learning

If we talk about the recent past, machine learning was only used by a few who understood the algorithms and had access to very huge amount of data on which to employ it. But with the evolution of big data technology becoming a commodity and algorithms easier to use, machine learning has moved out of the hands of the few to the hands of the citizen developers and regular users. Four key steps taken in 2015 for the development of the machine learning are:-

# learning became easier to use.

# Everyone and their brother released a machine learning library or toolkit. 

#Big data to feed machine learning also became cheaper and easier.

#The label “machine learning” was applied to way too many items.

Read more at: http://www.infoworld.com/article/3017250/application-development/4-great-leaps-machine-learning-made-in-2015.html

 

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Big Data Technology For Small & Medium Size Companies

Today not only big companies are enjoying benefit of big data but also the small and medium sized companies are in the line. Many SME’s have become big data users. The size of data has categorized the type of data users. These are high data user, medium data user and small data user. While the high data users are more sophisticated in tools and more proficient in the storage and accessing of data, all of them share the same problem. Earlier SME’s were not able provide information to decision makers in a timely manner and they find difficulty in presenting and sharing information in proper formats. This problem led SME’s to access the big data technology which made it easier for them to present and share the information in easy to understand formats. Big data technology not only applies to private data but can also be applied to combination of private and public data. This is possible only due to the property of big data technology that it can handle both structured and semi structured data. Its design allows it to work on data stored on cloud and to deal with dynamic processing requirement. Big data technology is mature, flexible and affordable. It can alter the way of doing work with data, decision tools are easily accessible and information provided within the documents can have better view. When a company becomes large, its systems will become large, information and data become large leading to difficulties in handling them. Big data technology has provided a road to have more efficient systems and better techniques. Read more at:http://www.smartdatacollective.com/bruce-robbins/331325/how-business-users-will-benefit-joined-data

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Big Data – what is it and how useful is it?

The term Big Data has become popular recently and is used to define exponential data development and availability, both structured and unstructured. Big data is crucial to businesses since more data implies precise analyses which results in efficient decision making, reduced risk and cost reduction. Big Data is used for more complex datasets and refers to application of predictive analytics and other advanced application tools to derive the results and seldom to the size of datasets. The three V’s of Big Data are namely: Volume, Velocity, and Variety. Apart from increasing varieties and velocities of data, data flows are very challenging. Variability, complexity are some other factors of Big Data. Data flows in from different sources and it’s difficult to connect them which has become a huge task these days. Big Data has become necessary for companies which helps them stay updated with the new technologies. Processing the Big Data smartly and accurately is worth a lot of income for the companies. Big Data demands amazing technologies to efficiently process such datasets in given deadlines. There were companies who spend a lot of money on data analytics and other management systems to increase their efficiency. Recently Big Data has increased the need for information organizations. Big Data also helps to grow and continue increasing the number of servers used which only adds to expenses of the company.

 

Read more at: http://www.smartdatacollective.com/anandsrivastava1988/328749/what-big-data-and-how-useful-it

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Big Data In A Future IT Landscape

For a future IT landscape dominated by Big Data technologies, it is crucial to use technologies and tools for Big Data. Hadoop and MongoDB are designed to perform in the Cloud which gives firms ability to scale computing and storage resources. Also, data professionals have to undergo proper training to acquire skills. Data stored in cloud should be according to the company's security policies and compliance laws. Mastering the art of messages, promotions, and marketing on a micro-level, will lead to more customer-centricity, and deeper customer engagement, will ultimately result in better ROI. Read more about this article at: http://www.marketingprofs.com/articles/2015/27754/seven-ways-to-get-ready-for-big-data-of-the-future

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