Dear @Mohsen, thanks for sharing the question. "The biggest challenge for most eCommerce businesses is to collect, store and organize data from multiple data sources. There’s certainly a lot of data waiting to be analyzed and it is a daunting task for some E-commerce businesses to make sense of it all. Big Data paves the way for more organized data and enables business owners or marketing managers to track and better understand a variety of information from many different sources (i.e. inventory management system, CRM, AdWord / AdSense analytics, email service provider statistics, etc.)..."

Large Global Retailer: Big-Data Analytics Boost Retail Revenues and Accelerates Suggestions via eCommerce is attached.

http://www.bigdatalandscape.com/news/why-big-data-is-a-must-in-ecommerce

http://www.accenture.com/us-en/Pages/success-large-global-retailer-big-data-analytics.aspx

Dear @Mohsen, thanks for sharing the question. "The biggest challenge for most eCommerce businesses is to collect, store and organize data from multiple data sources. There’s certainly a lot of data waiting to be analyzed and it is a daunting task for some E-commerce businesses to make sense of it all. Big Data paves the way for more organized data and enables business owners or marketing managers to track and better understand a variety of information from many different sources (i.e. inventory management system, CRM, AdWord / AdSense analytics, email service provider statistics, etc.)..."

Large Global Retailer: Big-Data Analytics Boost Retail Revenues and Accelerates Suggestions via eCommerce is attached.

http://www.bigdatalandscape.com/news/why-big-data-is-a-must-in-ecommerce

http://www.accenture.com/us-en/Pages/success-large-global-retailer-big-data-analytics.aspx

Thank you very much dear Ljubomir.

Big data analysis is applicable in industry for

Data Data Science Analytic Tools

Article DATA SCIENCE - WHEREWITHAL Application in Agriculture and Ma...

Thanks dear Krishnan.

Please, look interesting job of working with large sets of data in medicine.

http://www.electronicmarkets.org/call-for-papers/single-view-for-cfp/datum/2015/11/30/cfp-special-issue-big-data-analytics-in-electronic-markets/

Application in consumer electronics

http://www.pentaho.com/sites/default/files/uploads/resources/tdwi_best_practices_report-_managing_big_data.pdf

Again consumer electronics- Wipro

https://www.wipro.com/documents/Connected_Homes_PoV.pdf

Big data analytic important for:

1. Life long industries and market

2. Predict the demand

3. Stock  management

others

About data big and big data analytics I would recommend this paper: CHEN, H.; CHIANG, R.; STOREY, V. Business Intelligence and Analytics: From Big Data to Big Impact. MIS quarterly, v. 36, n. 4, p. 1165–1188, 2012.

Big Data Analytic in electronic markets:

• innovation in production developments and e-services.
• Measurements of user satisfactions and needs.

Big data analyses are used in the process industries to improve operational risk management, and to gain more capacity from the physical asset.  For example, to get higher than nameplate capacity from a refinery processing unit. 

In both original and replacement marketing

https://www.wipro.com/documents/Big%20Data.pdf

Dear @Moshen, hope that this info about the Conference "Big Data Analytics in Electronic Markets!  submissions until 30 November 2015!

http://www.wifa.uni-leipzig.de/en/iwi/as/detailview-news/article/call-for-paper-on-big-data-analytics-in-electronic-markets-at-electronic-markets.html

http://www.electronicmarkets.org/call-for-papers/single-view-for-cfp/datum/2015/02/19/cfp-special-issue-big-data-analytics-in-electronic-markets/

Dear @Mohsen, this is about big data and plant/processes. 

"Data is everywhere, and many manufacturers have been collecting it for decades. But what are they doing with it? Can you collect enough data to create an analysis algorithm that replaces the need for human intervention? 

“We don’t need big data,” asserted Francisco Castillo, chief information officer, Maynilad Water Services. “Most of our data is field data, and it’s quite repetitive, so we can compress it. For us, to do a good analysis of the information, we need someone who is knowledgeable of the process itself. That is more of a challenge.”"

http://www.plantservices.com/articles/2015/your-data-is-meaningless-without-human-analysis/?utm_source=hs_email&utm_medium=email&utm_content=23913164&_hsenc=p2ANqtz-_dnmdqmnq5JiWrGM1jjmS6JaJRAD2zbnPig_vVmQKh57gaF4tc8cOUxzjERdmTTE9462Fnsu2Z5SOBnzCJqHEiEG5DyA&_hsmi=23913164

Learn How Big Data & Analytics Deliver Practical Results with Significant ROIs

Find out how you can use your data to gain a deep understanding of your dynamic processes quickly, maximize your operations reliability and efficiency, and your asset availability. With machine learning and advanced analytics technology, you can detect and predict incipient problems or KPI deviations, identify their root causes in real-time and prescribe the best corrective action...

http://www.automation.com/enews/integration_objects/WebinarAlert2016-IO.htm?utm_source=bm23&utm_medium=email&utm_term=view+online+version&utm_content=Webinar:+Learn+How+Big+Data+and+Analytics+Deliver+Practical+Results+with+Significant+ROIs&utm_campaign=Webinar+Alert+-+Integration+Objects+-+June+8,+2016

Every organization has an establishment, a power structure with a vested interest in the status quo. The establishment is currently making investment decisions, setting customer priorities, and deciding on new product features. These are the same decisions that new insights from big data can improve. But will the current leadership adopt or reject new insights? In order to be successful, the organization needs to execute a shift in power to the digital experts who generate new insights from big data. A shift in power is necessary to accomplish the changes that are needed to fully embed the big data analytics capability

http://www.jorgdesign.net/issue/download/1453/18

Industrial Big Data Analytics: Can you Answer Questions You Didn’t Know to Ask?

... new frameworks has shown how the Industrial Internet of Things (IIoT) intimately connects to Big Data Analytics as part of the IIoT Platform.... how industrial companies are looking for Industrial Big Data Analytics to solve quality, productivity, energy, and reliability issues, and the biggest challenges are with creating a business case not using technology. Unfortunately, all of this work may have missed one of the most important and quickly maturing technologies in analytics, Machine Learning (ML)...

http://blog.lnsresearch.com/industrial-big-data-analytics-can-you-answer-questions-you-didnt-know-to-ask-mondaymusings?utm_campaign=lns-research-blog&utm_source=hs_email&utm_medium=email&utm_content=32326460&_hsenc=p2ANqtz-98RcfGaLaaKHwS63Hg5H9JOm7iEZbmL0W4fslQKeQW2w3-tsTAwXYeegnMuSj7VIgtzjiLZxOsQ16kaTDRp3UluZkR6w&_hsmi=32326460