How to Use Price Comparison Service for eCommerce?
As a result of the internet boom in the late 1990s, new selling concepts that spell a greater sense of consumer empowerment have evolved. Over the years, easy internet access has seen the rise of the shopping portals also known as eCommerce platform that list products from various retailers in the virtual marketplace. This makes […]
Read MoreData Mining and Predictive Analysis
Data collection and curing is the core foundation of most businesses. Database building thus is an important function and activity where enterprises invest heavily. With information now available on the Internet and easily obtained, it raises the importance of having professionals who crawl data and offer web scraping services. Once the data is accessed, though, […]
Read MoreHow Netflix revolutionized television programming with Big Data
Netflix’s original business of delivering DVDs to homes on a monthly subscription model was disruptive enough for the times. However, it seems rather staid when one looks at how the company has transformed itself in less than a decade since it commenced streaming television programming over the Internet. Equally commendable is that the company is […]
Read MoreUsing Hadoop Solution for eCommerce and retail
Open source Hadoop is a cutting-edge tool for harvesting big data. What Hadoop does is remarkable: it takes the dice-rolling out of retail business and allows the focus to shift to the individual consumer by providing a customized retail experience. The beauty of Hadoop is that there are tangible practical advantages to boast about. No […]
Read MoreBig data for small business: yes, it’s possible!
There has been a significant shift in the way businesses gather and analyze Big Data. No more can anyone turn a blind eye to the proliferation of Big Data, its applications, and impact. By extension, it only makes sense for small businesses to harness Big Data ventures in terms of strategic planning for improvement as […]
Read MoreBest recent start-ups in big data, analytics & crawling
The attention that big data, analytics and web crawling are getting in the business markets is huge but so is the potential that they hold for the future. Analytics and data-driven strategies have become an essential component for any business looking to stay competitive by successfully delivering measurable results. The knowledge of trends and predictions […]
Read MoreHow Customer Data Can Help in Business?
Customer Data the proverbial gold mine significantly positions businesses to leverage Big Data and Big Data Analytics. Businesses willing to expand using insights from analytics and Big Data always have opportunity knocking on their doors. The final step is to unleash Big Data insights and not just unlock new avenues of profitability but also enhance […]
Read MoreData analytics for HR: How to Make Effective Recruitment.
In his book Drive, management author Daniel Pink talks about the disconnect between “what science is telling us and what businesses do”. He refers to employee motivation and how organisations use various incentives, especially monetarist, to motivate people. Conversely, there is a body of research that shows that such ‘extrinsic motivators’ actually have an adverse […]
Read MoreFuture of Data Visualization:Big Data to gain unlimited benefits
In a data-driven world, Data Visualization is the future, enabling big data to explore its true potential. Data Visualization refers to representing data visually effectively so as to communicate information clearly using graphical interpretation. The ideas need to be conveyed effectively using form as well as functionality. In the past, data visualization was mostly limited […]
Read MoreData Visualisation: Significance & Context
“Data is the new soil. Because for me, it feels like a fertile, creative medium. Over the years, online, we’ve laid down a huge amount of information and data, and we irrigate it with networks and connectivity, and it’s been worked and tilled by unpaid workers and governments. But it’s a really fertile medium, and […]
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