N-iX Case Studies Boosting News Platform Popularity with Cloud-Based Data Analytics

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	Boosting News Platform Popularity with Cloud-Based Data Analytics N-iX

Boosting News Platform Popularity with Cloud-Based Data Analytics

N-iX

Technology Category	Infrastructure as a Service (IaaS) - Cloud Databases Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	E-Commerce Equipment & Machinery
Use Cases	Behavior & Emotion Tracking Leakage & Flood Monitoring
Services	System Integration
Challenge	The client, a Switzerland-based media group operating in over 15 countries, was seeking to enhance the popularity of their news platform. They wanted to identify relevant and trending topics more effectively to attract a larger audience. The challenge was to monitor and analyze competitor content to identify topics that were either partially covered or not covered at all by their own platform. The goal was to use this information to adjust their content strategy and present more relevant and engaging content to their audience. Read More
About Customer	The customer is a Switzerland-based media group with a rich history and over 7,000 employees. The company operates in more than 15 countries worldwide and has a broad media portfolio that includes print and digital publications, TV and radio channels, online marketplaces, and e-commerce platforms. The client has an online platform that covers news worldwide and was seeking to grow its popularity by publishing more relevant and trending content. Read More
Solution	N-iX developed a cloud-based solution using Amazon Web Services (AWS) to analyze competitor content and identify trending topics. The solution involved the creation of parsers for competitors' sites to select new topics and upload the source on Amazon. The system then reads the source, identifies keywords in articles, and groups trending topics. Amazon API Gateway was implemented to allow the client to access the customer system and choose the type of searched topic. The data is then transmitted to ElasticSearch, where it is enriched with statistics. Amazon S3 was used for storing parsed articles from competitors, and AWS Lambda was used to determine when a new article would enter the Amazon S3 bucket. Amazon SQS was used to record a queue of articles that have been processed with a cloud enricher. AWS CloudFormation was used to describe the desired resources and their dependencies, and CloudWatch was used to track metrics. Amazon SNS was used to receive notifications when a new article entered the bucket. Read More Log in to view content
Contents

Technology Category

Infrastructure as a Service (IaaS) - Cloud Databases

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

E-Commerce

Equipment & Machinery

Use Cases

Behavior & Emotion Tracking

Leakage & Flood Monitoring

Services

System Integration

Challenge

The client, a Switzerland-based media group operating in over 15 countries, was seeking to enhance the popularity of their news platform. They wanted to identify relevant and trending topics more effectively to attract a larger audience. The challenge was to monitor and analyze competitor content to identify topics that were either partially covered or not covered at all by their own platform. The goal was to use this information to adjust their content strategy and present more relevant and engaging content to their audience.

About Customer

The customer is a Switzerland-based media group with a rich history and over 7,000 employees. The company operates in more than 15 countries worldwide and has a broad media portfolio that includes print and digital publications, TV and radio channels, online marketplaces, and e-commerce platforms. The client has an online platform that covers news worldwide and was seeking to grow its popularity by publishing more relevant and trending content.

Solution

N-iX developed a cloud-based solution using Amazon Web Services (AWS) to analyze competitor content and identify trending topics. The solution involved the creation of parsers for competitors' sites to select new topics and upload the source on Amazon. The system then reads the source, identifies keywords in articles, and groups trending topics. Amazon API Gateway was implemented to allow the client to access the customer system and choose the type of searched topic. The data is then transmitted to ElasticSearch, where it is enriched with statistics. Amazon S3 was used for storing parsed articles from competitors, and AWS Lambda was used to determine when a new article would enter the Amazon S3 bucket. Amazon SQS was used to record a queue of articles that have been processed with a cloud enricher. AWS CloudFormation was used to describe the desired resources and their dependencies, and CloudWatch was used to track metrics. Amazon SNS was used to receive notifications when a new article entered the bucket.

Impact #1	The cloud-based solution developed by N-iX has enabled the client to effectively analyze competitor content and identify trending topics. This has allowed the client to present more relevant and engaging content to their audience, thereby increasing visits to their news platform. The solution has also enabled the client to implement effective market and competitor analysis to identify trending topics. This has increased their flexibility and ability to quickly adapt to changes in trends.

Impact #1

The cloud-based solution developed by N-iX has enabled the client to effectively analyze competitor content and identify trending topics. This has allowed the client to present more relevant and engaging content to their audience, thereby increasing visits to their news platform. The solution has also enabled the client to implement effective market and competitor analysis to identify trending topics. This has increased their flexibility and ability to quickly adapt to changes in trends.

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Overview

Boosting News Platform Popularity with Cloud-Based Data Analytics

Operational Impact