Data-Driven Marketing: What is Third-Party Data and What are the Benefits?
In the previous two articles, we have explained about the first-party data and second-party data. In this article we will
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Analytics TechNews
ECM TechNews is a blog to share passion in a wide spectrum of technology news. The Analytics TechNews covers news and innovation of data analytics.
Data-Driven Marketing: What is Second-Party Data and How to Use It?
In the previous article, we have talked about the first-party data and how it can be used for marketing purpose. In this article, we will continue to talk about another type of data: the second-party data. The second-party data is essentially the same as the first-party data except that this data comes from a third-party company. The goal is to buy data from a company to which they belong. This data is therefore similar and can come from sources that are identical to your own first-party data.
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Data-Driven Marketing: What is First-Party Data and Why Do You Need It?
The world of data continues to impose itself on us. Data is absolutely everywhere and even becomes a bargaining chip. First-party, Second-party or Third-party data become powerful marketing tools today. Still, we must be aware of the interest and uses of each in order to reap the full potential for optimized marketing campaigns. What type of data will benefit you the most and how to use it?
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Big Data for Business: How to Optimize Your Data?
Until a few years ago, many people did not understand the concept of Big Data, what it referred to and how it could be fundamental to the development of an activity. Many companies did not see the value of adopting a Big Data solution, which required not only a change of strategy, but also a significant investment.
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Why Local SEO Services are Important for Your Business?
Local SEO services can enhance a website ranking according to a particular, city, region and area and eventually improve the ranking of the website locally. It makes local users find you easily on the internet. Customers are trying to find out services in their area using a keyword entered as city or town name.
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How AI and Data Science Can Compliment Web Enterprise Software
Ever since the computer technology was first introduced, there came many innovations that assist in making it more advanced and convenient. AI and data sciences are new norms of the latest computing world and are penetrating in every other field.
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5 Ways Big Data Can Add Value to Your Custom Software Development
A study conducted in 2017 on the global market for large data showed that at the end of the year almost 53% of all companies had adopted analytical analysis of data in one form or another in order to optimize their performance. The talent market has also seen increased demand for experienced professionals in Big Data.
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Internet of Things: After Adoption, Then Monetization?
Since its creation in 1999, IoT (Internet of Things) has evolved considerably. It is now applied in various sectors for equally varied uses. It is used for tracking and real-time tracking of articles in the logistics sector, for daily assistance to the general public, particularly in the areas of household appliances and health, etc.
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5 Ways Big Data is Changing the Health Sector
The health care sector is booming and the need to manage patient care and drugs has increased in synchrony. As these needs increase, new technologies are being adopted in the industry. The use of Big Data and Analytics in the healthcare sector is a major change that could take place in the future.
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Big Data – 5 Years Later: Fashion Phenomenon or Reality?
Do you think that Hadoop will be totally abandoned in the future? Do you think that Spark will replace Hadoop at term? Will Hadoop one day be overwhelmed … These are a lot of questions around Big Data that are increasingly asked, by professionals, who fear that they have specialized in bad technology, by journalists, who fear that Hadoop will eventually become fashionable, and by the students, who wonder if it’s really interesting to follow an academic curriculum on Big Data.
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