DataSage
Overview
DataSage helps management teams answer the analytical questions that change a decision. Clients have included growth-stage businesses, banks, governments, and multilateral institutions; the unifying thread is a problem where the right analysis materially affects the outcome. The work falls across three practice areas: 1. Strategic advisory and thought partnership — helping leadership use data to sharpen commercial and operational choices. 2. Research and analysis — producing reports, for internal use or external publication, that synthesise evidence into clear positions. 3. Predictive modelling — building and maintaining credit risk scorecards, customer retention models, and other applied machine-learning systems. Selected experience from across the team includes: 1. Credit risk modelling for Capitec Bank, South Africa's second-largest retail bank, across a portfolio of more than eight million clients. 2. The target-market analysis underpinning the United Nations Capital Development Fund's Making Access Possible diagnostics in four countries — work that fed into national financial inclusion strategies still in force today. 3. Predictive models supporting real-time property acquisition decisions for US-based investors, and a gravity model identifying export opportunities from product-level global trade data. The latter formed the statistical foundation of South Africa's National Export Strategy, adopted by the Department of Trade and Industry. Beyond these engagements, DataSage has delivered a range of smaller mandates — all built on the same premise: that the right data, properly interpreted, sharpens any decision worth making.
Services
Data Analysis & Testing
Analyzing either your data, or publicly sourced data, to inform decisions for your enterprise. This ranges from pricing decision, location of outlets, target market and segmentation, through to general client management and relationships.
Machine Learning
Management Consulting
Skills
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