An AWS product Piwik : Open Analytics Platform powered by Miri Infotech. Piwik is the leading open-source analytics platform that gives you more than just powerful analytics.
Piwik is a free and open source web analytics application written by a team of international developers that runs on a PHP/MySQL webserver. It tracks online visits to one or more websites and displays reports on these visits for analysis.
We are configuring and publishing Piwik embedded pre-configured tool with LAMP and ready-to-launch AMI on Amazon EC2 that contains Piwik, Apache, MySQL, Linux, PHP (LAMP).
Piwik displays reports regarding the geographic location of visits, the source of visits (i.e. whether they came from a website, directly, or something else), the technical capabilities of visitors (browser, screen size, operating system, etc.), what the visitors did (pages they viewed, actions they took, how they left), the time of visits and more. Some other features are as follows.
You can subscribe to Piwik, an AWS Marketplace product and launch an instance from the product’s AMI using the Amazon EC2 launch wizard.
Open the URL: http://<instance ip address>
Step 1: Welcome
Open welcome screen. Click on Next Link
Step 2: System Check
This will open show System configurations
Click on Next Link.
Step 3: Database Setup
Database Server: localhost
Login: miripiwik
Password: <InstanceID>
Database Name: miripiwikdb
Step 4: Creating the tables
It creates the table
Click on Next Link
Step 5: SuperUser
Name : <Any name>
Password: <instanceID>
Email (Optional) : <this is optional>
Step 6: Setup a website
Website name: <any name>
Website Url : <any url>
Step 7: Tracking Code
Display Tracking code
Click on Next Link.
Step 8: Congratulations
Show Congratulations message.
After Installation, SSH using root user is disabled. ec2-user is the sudo user with root privileges with access using the key pair created during launching the instance.
MYSQL can be accessed only with SSH
MYSQL User : root
Password : <instanceID>
Note: You are not supposed to change it.
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Front-end use of AI technologies to enable Intelligent Assistants for customer care is certainly key, but there are many other applications. One that I think is particularly interesting is the application of AI to directly support — rather than replace — contact center agents. Technologies such as natural language understanding and speech recognition can be used live during a customer service interaction with a human agent to look up relevant information and make suggestions about how to respond. AI technologies also have an important role in analytics. They can be used to provide an overview of activities within a call center, in addition to providing valuable business insights from customer activity.
There are many machine learning algorithms in use today, but the most popular ones are:
Free Open Source software; 100% data ownership; User privacy protection; User centric insights; Customisable and extensible
Desired Page Overlay; Row Evolution; Can create Custom Variables for required field analytics
Privacy Options; Scheduled Reports; Log Importing