Integrate Alternative Data. Gain Deeper Market Insights with Splore AI.
Track market trends, identify risks, and uncover untapped opportunities with seamless alternative data integration—powered by Splore AI.
We Overcome the Roadblocks to Smarter Alternative Data Usage
Limited Access to Real-Time Market Signals
Investment teams rely heavily on historical and structured data, missing real-time market shifts and emerging trends.
Fragmented & Unstructured Data Sources
Alternative data exists, but it’s scattered, inconsistent, and difficult to integrate into investment models.
Time-Consuming Data Cleaning & Processing
Without AI, teams spend too much time cleaning and normalizing alternative data before analysis.
No Seamless Integration with Existing Models
Most investment platforms and tools aren’t designed to support alternative data at scale.
Inability to Detect Emerging Risks & Opportunities
Market shifts happen fast—without alternative data, investment teams react too late.
Features of Splore
Seamless Integration of Alternative Data
Alternative data enhances market visibility and investment precision.
Seamless Integration
Merge internal portfolio data with real-time alternative data for deeper insights.
Diverse Data Sources
Incorporate financial news, ESG scores, macroeconomic trends, and sentiment analysis.
Custom Tailoring
Adapt data streams to specific asset classes, strategies, and sectors.
Unlock Hidden Investment Insights
Make faster, more informed investment decisions.
Market Trend Identification
Detect early market shifts, pricing inefficiencies, and emerging opportunities.
Actionable Insights
Get real-time alerts and AI-driven analysis for smarter investment moves.
Competitive Edge
Stay ahead with alternative data-driven decision-making.
Optimized Research & Investment Strategies
Enhance research depth and portfolio strategy with AI-driven insights.
Dynamic Research
AI tracks sector-specific trends and company performance.
Data Fusion
Combine portfolio data with external signals for holistic analysis.
Informed Decisions
Use AI insights to react swiftly to risks and opportunities.
Streamlined Data Processing & Automation
Reduce manual effort and improve decision speed.
Efficient Workflows
Automate data ingestion, structuring, and validation.
Real-Time Updates
Get continuous monitoring of market conditions.
Data Quality Assurance
AI-powered error detection and compliance oversight.
Turn Alternative Data into Investment Intelligence with Splore AI
Splore by Numbers
Splore isn’t just another tool—it’s a turn of the era for asset managers and investment teams. Here’s why Splore stands out:
50% Faster Alternative Data Integration
3x More Investment Opportunities Identified
60% Reduction in Research Time
40% Improvement in Risk Detection
80% More Efficient Reporting & Insights
Frequently Asked Questions
Alternative data refers to non-traditional sources like satellite imagery, social media sentiment, credit card transactions, and web traffic. Unlike traditional financial data, it provides real-time market insights, allowing investors to detect trends and opportunities that might not be visible through standard reports.
Market conditions change rapidly, and traditional financial data often lags behind. Alternative data provides a more up-to-date view of consumer behavior, economic activity, and industry trends. This enables investors to make informed decisions faster and gain a competitive edge.
AI processes vast amounts of unstructured data, identifying patterns and extracting meaningful insights that humans might miss. It also automates tasks like data cleaning, trend detection, and predictive modeling, making it easier for investors to act on real-time market signals.
One major challenge is integrating fragmented and unstructured data from different sources. Processing large datasets requires advanced technology and expertise, and ensuring data accuracy can be difficult. Additionally, compliance with data privacy regulations is crucial when working with alternative financial data.
Investors can combine alternative data with traditional financial metrics to improve decision-making. Machine learning models can analyze past trends and predict future movements, while AI-driven tools can generate real-time alerts, helping investors act quickly on new market signals.
While alternative data excels in providing short-term market signals, its long-term reliability depends on data consistency and quality. Investors often use it alongside fundamental and technical analysis to strengthen decision-making, ensuring a well-rounded investment approach.
The future of alternative data in finance involves deeper AI integration, real-time analytics, and better data-sharing frameworks. As machine learning models become more advanced, investors will gain access to increasingly accurate predictions, solidifying alternative data as a core element of modern investment strategies.
