Make use of geographic and time-based data relevant to South Africa
By enriching the current data with information obtained from Stats S.A., we assist the customer in providing valuable information when building a new machine learning model.
Data science teams benefit from having these features available at the time of training
This saves additional work in the form of collection, cleaning and processing. Ultimately allowing time and resources to be effectively spent on optimizing and developing models.
Customize the current solution to integrate with available company data sources
Our modular solution allows for adding additional features and valuable data from your organization.
Statistics SA collects data regarding various aspects of the country and is the official data provider for the South Africa government. Our Solution allows organizations to use data for various provinces and metropolitan areas to enrich training datasets while also incorporating the history of these metrics. Information includes:
Prices of products in the CPI basket
Residential property prices
Population data by age and gender
Electricity generation and distribution
Municipality Building Figures
Key Deliverables
Availability of data sources.
Create relationships based on region, time and additional features.
Provides signal to increase accuracy of Machine Learning models.
About the Partner
Knowledge Integration Dynamics (KID) is a cutting-edge data management consultancy firm that excels in providing innovative solutions to complex data challenges. Founded on the principles of expertise, integrity, and innovation, KID offers a comprehensive suite of services tailored to meet the diverse needs of its clients. With a team of seasoned professionals who are experts in their respective fields, KID leverages the latest technologies and best practices to help organizations unlock the full potential of their data assets. From data integration and governance to advanced analytics and machine learning, KID empowers businesses to make informed decisions and drive growth in today’s data-driven world.
Solution Diagram
Success Story
A propensity model was built with our collated data on past customer behavior patterns and certain geographical and demographic attributes. Sales efforts could then be optimized to increase conversion rates.
Embracing external data sources, we identified ideal locations for new brick-and-mortar stores using optimization. This allowed greater customer reach and facilitated effective construction planning.