Business Situation
- A global technology research analyst company wanted to increase the scale, speed, and precision of its research delivery for enterprise customers.
- It was overwhelmed by the ever-growing unstructured data from varied sources, and it was trying to construct a centralized platform for various tech applications.
SGA Approach
SG Analytics employed a combined research and automation system to help solve the client’s problem. The project emphasized the following:
- Data Extraction & Structuring: Used SQL ETL streams and Python workflows in processing to aggregate and harmonize data feeds concerning company descriptions, market size, and executive information from over 28 distinct languages.
- Research Enablement: Enabled core analyst activities in seven tech segments, namely enterprise IT, applied competitive intelligence, and cybersecurity resilience, and customized research deliverables involving market projections to peer benchmarking.
- AI-Powered Operations: Designed and deployed agentic AI to perform accelerated outreach, automatic research updates, and trend monitoring for higher turnaround.
- CRM Integration: Consolidated data assets and ensure seamless integration with the client’s in-house platforms to support their analyst workbenches.
Key Takeaways
The client recorded the following improvements:
- An 80% decrease in manual time invested in data structuring and cleansing coupled with a 70% increase in monitoring client-specific research deliverables and stakeholder inquiries
- A 60% accelerated turnaround on research publications and dashboards facilitating faster go-to-market (GTM) strategy execution
Long-term active engagement, spanning more than 12 years of collaboration, empowered the client to undertake 70 research initiatives annually across key topics and markets.
