GDPR in Marketing

June 21, 2020

The General Data Protection Regulation is a Privacy Law of the European Union which comes into force on 25 May 2018.This has been in the making for years, and is to replace the last big piece of EU privacy law dating back to 1995: a period when Geo cities became common, before Twitter, before Myspace, before  even Google.Much has changed in how the internet is used for business and the role of data and data sharing in our lives, so it's time for the law to be updated. GD PR updates the Privacy Act to reflect more recent technical developments and how we use them. In some cases, it also extends these restrictions and safeguards on what can and can not be done with your personal data to organizations based outside the European Union if they handle the data collected within it.Somewhat controversial, it's a good thing, too.The GD PR also defines the rights of individuals to access and control their data

1. The right to be notified

2. The right to Access 

3. The right to correction

4. The right to erase

5. Right of limitation of processing

6. Right to probability of data

7. Right to object

8. Rights in respect of automated decision making and profiling

Taken together, these principles and rights make the GD PR the most powerful and far-reaching law on privacy in the world.Because so much business is now very international, the effect will be that companies outside the EU will comply with GD PR privacy standards in order to have access to the 500 m rich consumer markets in Europe.

GD PR in Tourism Marketing

As with every industry dealing with personal and sensitive information, businesses will have to adjust.In this case, anyone who owns a tour business, a travel agency, carries out business activities, etc. within the EU or uses personal information from EU citizens.Generally speaking, GD PR leaves much to be interpreted as follows: (Clear guidelines are lacking). GD PR takes a broad view of what constitutes personal identification information. The biggest challenge is to turn the legal requirements imposed by GD PR into sustainable operational strategies to keep GD PR compliant.For example, tour operators share customer information with suppliers on a daily basis  this is part of the booking process.Booking engines are connected to and used by multiple APIs, databases, and third-party providers.The problem is how to manage the data.

Best Practices for GD PR for Tour Business:

• Keep a record of all existing personal information.
• Check how and when your client has consented.
• Make sure you know how to store and use the data.
• Manage how data is protected and secured.

Web Analytics and Tourism

Sunday, 14 June 2020

Web Analytics and Education

 

Web Analytics is the practice of measuring, collecting, analyzing and reporting online data with a view to understanding how visitors use a website and how to optimize its use. Web analytics focuses on understanding the users of a site, their actions and their activities.Studying the behavior and activities of online users generates valuable marketing intelligence, and provides:

1 Tests of Website efficiency against goals

2 Perspectives on user preferences and expectations, and how the platform meets those requirements

3 Fitness to make changes to improve the website

Even now, the entrance to museums, churches, or sites of interest in many tourist destinations , especially in provincial locations, has a person carefully collecting traveler data.Its place of origin, more specifically.Until recently, that was the way the tourism and hotel industries worked.

Process of Web Analytics

1. Collection of data : This stage is the collection of the simple, important information.Generally speaking, the knowledge is stuff reviews.This stage is aimed at accumulating the information.

2. Preparation of information into Data : This stage takes tallies more often than not and makes them linear, given the fact that there might still be a few tests.The purpose of this stage is to take the information into data , specifically measurements, and to accommodate it.

3. Creating KPI : This stage focuses on using the proportions (and controls) and mixing them with business methodologies, referred to as key markers of execution (KPI).Commonly, but not necessarily, KPIs handle transition perspectives.It trusts in the association.

4. Detailing on web procedure: This stage is concerned with the organization or company's online objectives, expectations and gauges.These procedures are typically identified with profit, some cash set aside or market shares expanding.

Analytical Tools : Web-Analytics Tools is used for Website Data Analysis and Reporting to measure and optimize web use.It is not only useful for traffic measurement, but can also be used for business and marketing research and website efficiency assessment and improvement.These free and paid tools enable you to track which keywords will send you traffic, which keywords will be profitable and which keywords will lose money.As soon as you begin to track results your campaigns become more efficient because you start to focus on the results.

Challenges of click-stream data in Tourism Industry

June 6, 2020

Challenges of click-stream data in Tourism 

Hi friends..

In this post i will be talking about the importance of the click-stream data in tourism industry. The term 'click-stream' describes how users navigate on websites.Clicking stream data is what we call user behavior data, tracking every single "click" over your website or application.To determine user behavior, most tourist companies already use a number of common analytics tools.

Click stream lets you track all of the events you want and broadcast them to our data warehouse, marketing or any other destination in real-time with the right platform.Travelers tend to use a range of sources of information, including social media, and look at the interactions between a limited number of sources of information here we use click stream data in predicting the behaviors of travelers by providing the detailed transnational information tracked and recorded.

Challenges of click stream data

• Because data streams are potentially unbounded in size, the amount of storage needed to calculate an accurate response to a data stream query can also grow unbounded.
• New data is continuously arriving even as the old data is being processed; the amount of computation time per data element must be small, or the computation latency would be too high and the algorithm can not keep up with the data stream.
• The continuous data stream model is most applicable to issues where timely query responses are relevant, and large amounts of data are generated continuously at a high rate over time.
•  To autonomously respond to changing conditions and data trends.
•  continuous data streams may be infinite, a blocking operator that has a data stream as one of its inputs can never see all of its input and will therefore never be able to generate any output.