Real-time corporate news aggregation with ML-based monitoring solution

The Business Need

The customer, a global provider of information solutions, was looking for a fully automated news monitoring solution that could capture corporate news of the companies in their databases and their CRM.

Being a digital pioneer, the customer was the first to bring legal and business information online. With more than a trillion connections across all content types, the customer processes more than 40 million documents and 77 million public records.

However, the organization was limited in its ability to quickly procure a real-time database of all corporate news of its client companies. With hundreds of thousands of corporate news happening around the world, the customer was looking for efficient ways to capture all the recent corporate happenings of their client companies in their database.

This included executive movements, joint ventures, changes in partnerships, PR activities, product launches, community events, mergers and acquisitions, and other corporate activities of all the 1.4 million companies on the customer’s database.

What the customer needed was an entirely innovative media monitoring solution that replaced their manual efforts and provided insights to investment bankers, CFOs, and other executives to make informed business decisions.

Challenges

Feasibility of tracking every single corporate event on a real-time basis was the main challenge. The sheer volume of corporate news hosted by the customer’s client companies made it practically impossible for their team to keep track manually. The customer tried it previously, both manually and with other solutions, but fell short in attaining the desired coverage.

They needed an automated process that could enable them to fix the challenge of aggregating the news and the real-time updates about their client companies, so that they could save time and focus on the big picture.

Solutions

Uptime, Xtract.io’s automated news monitoring solution, processes news from 80,000 sources with a tailored four-stage workflow.

We began by identifying 80,000 news sources, press releases, company websites and RSS feeds. Once we’d identified the feeds, we built keywords for various corporate events and began extracting and storing news articles on a daily basis. The next stage was feeding this data into our customized ML solution, that intelligently eliminated duplicate feeds, processed text content and segregated articles with tags. Upon the EMAC engine’s processing, the articles were then sent to the user for manual approval, thereby increasing the accuracy to more than 95% and making it ready for export.

Uptime improved the client’s business processes by enhancing source analysis, crawling data from various sources, and providing easily consumable reports. The intuitive dashboard enabled real-time tracking and deep data exploration. The solution offered real-time notifications and data validation for actionable insights. It also tracked various corporate events, including IPOs, joint ventures, and takeovers, allowing for comprehensive deal documentation access.

Results

Uptime enabled the customer to capture all the information regarding corporate news of companies, which enabled the customer to gain valuable insights and manage large volumes of data effectively.