An indicator of the context-specific online presence of a website quantified based on the probability of visiting for particular words within a business category on a search engine. That is, a user-centric index of how well a website is performing in the given business domain.
Determining factors of P:
Search engine keyword rank
The number of articles, files, images, and others online
The quality of title, description, meta tags
Preference and search settings of search engine users
Big Data is a term that means much larger and more complex data sets gathered from various data sources in many formats and difficult to handle and analyze with traditional information technology like the relational database management systems, data processing, and analysis software tools. That was because those data sets are not designed intentionally for later use or marketing use.
The trials to analyze Big Data naturally faced three fundamental problems - how to store a large amount of data, how to process it faster and how to handle the various data format efficiently. And analysts articulated them as three Vs: Volume, Velocity, and Variety.
In IT industry, it is not the first time we have faced problems similar to the above and solved in many ways such as distributed computing, parallel computing, and high-performance computing (HPC).
Big Data tools like Hadoop, Splunk, and Tableau are solutions to help you handle and understand the data sets, but they are not giving you the answer you want to get because they are tools after all, not intelligence.
Why Big Data is important
Anyone who is responsible for planning and making critical decisions needs proper information and wants to get inspired thru insights or understandings. We can also take many possibilities out of considerations to save our time thru filtering, prioritizing, and applying predefined rules.
Understanding issues around Big Data
The possible use of Big Data is almost infinite. But in reality, it is very tough to draw practical insights from Big Data without a robust process and analytics model in place. That is why so many people are searching for 'Big Data Analytics', 'Data analytics', and 'Data Scientist' on Google.
In most cases, only a small part of Big Data is used for analysis producing output that is not so competitive. Can we still call it Big Data? Is it not contradictory to believe that everyone can obtain mass-produced insights to stay competitive?
The most tricky part remains so always
The most important things about not only Big Data but emerging technology such as Artificial Intelligence are know-how and design. It is not so common that a software vendor invents a whole new product rather than adds some new functions to an existing software product. As a consequence, they are hardly free from the architectural limits.
MNCS KOREA's Interactive Brand App is an excellent solution for maximizing the Brand Identity and supports 360VR, digital publishing, 1-click brochure printing, and input forms. It also can be implemented on your website.
Korea Internet White Paper 2014(pdf) - Korea is recognized as the world’s most advanced country in ICT developments as it has been ranked the 1st in both Development Index and E-Participation Index of the E-government Evaluation conducted by the UN in 2010, 2012, and 2014.
Get the practical and current information you need on your target market and customer segments when planning, landing and operating your business in Korea. And make the best out of it with optimized marketing mixes. Marketing is an infrastructure rather than just activities. It requires reliable trends data, insightful analysis, flexible processes, timely actions and advanced techniques.
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We have applied big data technologies and predictive analytics to online/digital marketing since 2012 getting the stunning results.
우리나라에선 바이럴마케팅에 대한 관심이 다른 나라보다 훨씬 높습니다. 빠른 효과를 원하는 탓도 있지만 사실 바이럴마케팅을 정확히 이해하지 못한 데도 어느 정도 원인이 있습니다. 왜냐하면 많은 바이럴마케팅이 소비자의 '자발적인' 참여가 아닌 경우가 더 많고, 시행 내용도 바이럴마케팅이라기 보다는 온라인마케팅의 일부가 시행되는 경우가 대부분이기 때문입니다. 제대로 된 바이럴마케팅은 좋은 콘텐츠, 제품과 서비스에 뿌리를 둡니다.
바이럴마케팅의 장단점 - 사전에 충분한 검토가 선행되어야 합니다.
인지도가 낮은 브랜드를 알리는데 비교적 쉽고 비용이 적게 든다고 알려져 매력을 느낄 수가 있습니다만 위험도가 높은 방식으로써 사전에 신중하게 검토해야 합니다.
저품질 바이럴 마케팅의 발생은 시행사보다는 성급한 고객에게 주로 원인이 있는 경우가 많습니다. 충분한 콘텐츠 준비 없이, 전략과 시행 내용에 대한 검토가 제대로 이루어지지 않은 상태에서 우선 시행부터 하는 것은 위험하며, 부정적인 효과가 더 클 수도 있습니다.