Client Overview
The client is a mid-sized financial services organization offering investment advisory, wealth creation & management, and financial research products to retail and institutional clients. The client was looking to improve their data intelligence proficiencies to offer more precise market insights, provide better investment opportunities, and increase their consumer base.
With growing competition from fintech startups and data-centric platforms, the client intended to establish itself as a thought leader in financial insights and a reliable partner for investors.
Client Requirements
- Real-time financial data scraping from news, stock exchanges, and brokerage platforms.
- Alternative data sets such as sentiment data from social media, economic indicators, earnings sentiment, insider trades, and more.
- Exact market scenario analysis for their advisory reports and investor dashboards.
- Partnership data to recognize and collaborate with influencers, hedge funds, and financial publishers.
- Highly engaging content and alerts based on live trends and anomalies in market behavior.
Challenges
Despite their experience and financial expertise, the client encountered key limitations:
- Scrappy data sources made it hard to maintain consistent and up-to-date analysis.
- Manual data collection slowed down research output and provide restricted insight depth.
- Delayed investor decisions due to lack of real time alerts or insights.
- Limited access to non-traditional datasets, which were already fuelling competitor platforms.
- Trouble in grading their intelligence platform to support new tools and investor apps.
Techdataseeders Solutions
Real-Time Financial Feed Aggregation
Collected and cleaned data from exchanges, financial news outlets, company websites, SEC filings, and investment blogs.
Alternative Data Channel
Scraped and processed sentiment data from top social media platforms (Reddit, Twitter), and financial forums, along with macro-economic indicators and Google Trends signals.
Competitor Benchmarking
Supervised fund movements, portfolio announcements, pricing strategies, and marketing patterns of direct competitors.
Smart Data Dashboard
Delivered insights through interactive dashboard presenting live trends, top performing assets, sentiment analysis, and high volatility triggers.
Custom Alerts API
Integrated custom API endpoints to empower the mobile and web platform with prompt alerts on price movements, sentiment spikes, and major disclosures.
Influencer and Publisher Tracker
Identified popular publishers and influencers to collaborate with to improve campaign targeting and partnerships.
Benefits to the Client
- 45% growth in platform traffic due to improved content and live market coverage.
- 80% decrease in manual research hours with automated alerts and feeds.
- Boosted investor engagement rate via interactive data visualizations and trend prediction.
- Widened data coverage with 210+ new alternative sources for better decision making.
- Created strategic partnership with 6 new investment influencers and 4 research firms.
- Positioned as a data powered financial brand, increasing investor onboarding and retention ratio.
Conclusion
Techdataseeders helped the client to transform from a traditional finance organization to a smart data intelligence platform. By merging real time financial data scraping and alternative data analytics, the client now able to deliver deeper insights, better investment options, and maintains a competitive edge in a fast-evolving market.