Investment Research Analytics
Data analytics are transforming investment research as analysts and portfolio managers leverage data science and alternative data to strengthen fundamental and quantitative research frameworks. CRISIL provides financial institutions around the world with support across the entire spectrum of data analytics, from data engineering and web scraping to advanced predictive analytics and visualisation. Our deep-dive research capabilities help our clients test hypothesis and develop insights across multiple functions, including investment and portfolio analytics, client analytics and digital marketing.
CRISIL helps financial institutions address challenges such as:
- Transitioning from a disparate data journey to an integrated approach;
- Addressing issues around data extraction and ingestion from multiple document types and sources;
- Helping investment teams derive and improve the efficacy of signals using alternative data;
- Reducing the cost of experimentation around integrating data science into research;
- Building and enhancing visualisation and dashboards for research and MIS.
Solution Components
- Comprehensive data management services to ingest, validate, clean and maintain multiple data types from internal data platforms, external data vendors, public sources and market data providers
- End to End automated data extraction services from multiple web sources (free public, paid, API)
- Identify, collect and synthesize alternative data to deliver unique investment signals
- Integrate domain knowledge with alt data to deliver sector and stock intelligence
- Combine machine learning, NLP and big data to improve insights and generate alpha
- Customised data visualization solutions to access and analyse research insights
CRISIL EDGE
Knowledge Centre
Questions
Deep experience and knowledge of financial markets and business strategy
Expertise in data sourcing, management, analytics and reporting/visualization
Industry-leading technology platform
Diverse global talent base