Turning disparate data sources into actionable insights
The Data Journey: Market Intelligence Tools
Data Collection
Proprietary identification methodologies are utilized to establish and integrate the most relevant data from thousands of external sources. This data is collected via third-party API integrations, internal data sources and scraping from publicly accessible sites.
Data Preparation
The data collected by Skai™ arrives in unstructured formats from across multiple data sources. This data is normalized, validated and cleansed using machine learning engines before being converted into structured formats. Automated quality control continually flags any changes to the structure of source data.
Blog: Collection and connection is the key to harnessing external data
Data Contextualization
Once the data has been structured and prepared, the next step is to extract context and ensure relevance. Skai’s™ patented natural language processing (NLP) algorithm is designed to do this with a high level of accuracy. The platform is unique in its ability to understand the context of specific sentences — not only what is said, but what is meant – and map this back to taxonomy values (e.g. flavors, benefits, ingredients) for insights specific to your market or category.
Blog: Contextualized data is the only way to gain real insights
Data Connection
Support the data needs of your entire enterprise with 100+ pre-built dashboards in a platform that is open and flexible with built-in API integrations, robust data partnerships, and easy import/export for all of your visibility and collaboration needs.
Data Customization
Don’t see a data source? Want to add new geography? Looking for additional dashboards? No problem! Skai™ can be modified for insights that meet your specific business needs.