Building a Comprehensive People Intelligence Database by Transforming Social Media Data Aggregation

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Building a Comprehensive People Intelligence Database by Transforming Social Media Data Aggregation

XDataHub Case Study

Problem Statement

Our client, a prominent people intelligence service, sought to create an expansive database of social media profiles from various sources, emphasizing the need to identify publicly available profiles on specific social media platforms. The challenge extended beyond mere identification, requiring the extraction of comprehensive data records about individuals and companies from both online and offline sources. The client faced hurdles in synchronizing data aggregation methods across diverse outlets, hindering the optimal utilization of products for people search engine functionalities.

Our solution

To overcome these intricate challenges, our solution involved the utilization of XDataHub, a versatile web scraping platform. This strategic approach was implemented to create a customized solution by automating the process and precisely meeting the needs of the client in their pursuit of constructing an all-encompassing social media profile database.

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Real-time Social Media Profile Discovery: XDataHub’s user-friendly point-and-click interface was used to craft customized bots for real-time data scraping from multiple social media sites. This ensured targeted data collection for social media profiles and also addressed the broader objective of extracting comprehensive data records.

Seamless Integration with Storage Options: To ensure a smooth flow of data into the client’s existing database and also to enhance the overall efficiency of the data management process, integration of XDataHub with various storage options, including cloud services, FTP, and databases such as PostgreSQL and MySQL was made possible

Pre-built Bot Library for Increased Efficiency: XDataHub’s extensive library, featuring pre-built bots and an off-the-shelf bot marketplace, allowed the client to leverage existing tools for major scraping processes. This helped to increase efficiency and also saved valuable time in the data collection phase.

Advanced Downstream Processing with pre-built data solutions: XDataHub’s functionality to use pre-built data solutions facilitated advanced downstream processing on the scraped web data. Specific LLMs tailored for extracting insights from social media data further enhanced the client’s ability to derive meaningful information from the collected dataset.

Benefits

Enhanced efficiency and time saving: XDataHub’s user-friendly interface and pre-built bot library reduced the need for manual coding, resulting in an overall efficiency gain of 30% and also led to a reduction of 4 hours in daily data processing time, allowing the client to allocate more resources to strategic tasks.
Efficient cost reduction: The reduction in manual coding by leveraging pre-built bots and the point-and-click interface translated into a 15% cost savings in development efforts.
Enhanced Data Accuracy: Utilizing XDataHub’s advanced downstream processing capabilities led to a 25% improvement in data accuracy and reliability.
Streamlined Collaboration: Efficient integration with storage options enhanced collaboration among multidisciplinary teams, resulting in a 30% improvement in workflow coordination.