Get actionable insights from a true 360⁰ approach that leverages a wide range of data sources with cross-validation and information synthesis
Business decisions require insights, not just data. Traditional market intelligence approaches focus heavily on data and statistics. Business decision-making, however, needs actionable and well-rounded insights that are drawn from and cross-validated across multiple data sources.
However, accessing and analyzing historical and current data sources and getting actionable insights are major challenges. The use of advanced analytics and AI technologies to integrate large and diverse data sets at high speeds, combined with business domain knowledge, and impactful storytelling and visualization, can drive higher adoption of insights and transform the decision-making process for better business outcomes.
Better decision-making through deep expertise in diverse data types and triangulated insights based on our 360-degree approach to leveraging multiple data sources
Deeper and more nuanced insights through application of advanced analytics and Natural Language Processing (NLP) to existing data sets.
High speed and agility in generating insights from existing resources to enable clients to take business decisions quickly.
High absorption and widespread adoption of insights through contextual storytelling and intuitive visualization
In-depth analysis and insights on critical audience groups and sub-groups/micro-segments by leveraging stated customer research data as well behavioral/observed data sources.
A continuous listening system, leveraging advanced data engineering and analytical techniques, ensures near-real-time insights on customers.
C5i’s Meta-Analysis solutions leverage past product and concept data as well as external data sources and deploy applied AI technologies to enable rapid testing and narrowing down of product ideas and concepts. The result—faster time-to-market and lower investments in product and concept testing.
7 Facets of the Modernization of Insights in Enterprises
Improving Customer Satisfaction through Key Driver Analysis
AI-powered Insights from Enterprise-wide Consumer Immersion Studies
Text Analytics with Machine Learning to Analyze Open-ended Survey Responses
Impact of Effective Data Visualization
Hispanics’ Digital e-Commerce behavior in the US
Category and Brand Insights from Consumer Affairs Data
Understanding Consumer Perceptions and Identifying Market Opportunities in the ‘Natural’, ‘Eco-Friendly’ Home Care Products Space
