Addressing Africa’s Big Data Challenges
Data collection on paper is still the standard widely used. Such data is hardly digitised and often erroneous.Non-Digital Data
Data is often less ordered whether it is textual or non-textual unlike other items like spreadsheet pages, database tables or other linear or ordered data sets.Unstructured data
Data across numerous systems and data sets usually has inconsistencies, is often inaccurate and not timely.Erratic data
Data collection mechanisms tend to be expensive to collect, automate and enhance.Cost intensive data
Data is usually scattered across different systems and databases as opposed to being centrally domiciled.Siloed data
Data tends to be inaccurate, misleading and unreliableDirty data
How it WorksThrough the use of BioSIM, we have made it extremely easy for organisations and governments to consolidate their data on a single platform and in a cost effective manner. Centered around biometric confirmation on the Iris, we ensure that the data is of high integrity and absolutely accurate.
|We use a real time and mobile based enrollment system that provides for a high level of biometric identification.|
|We enable the capture of a wide range of data, including both structured and unstructured data.|
|We facilitate the process of taking structured and unstructured data from multiples sources, then cleansing, fusing, and preparing the data for analysis.|
We support the use of a wide range of analytical engines and artificial intelligence technologies including classification, correlation, anomaly detection, identity extraction, behavioral analysis, and predictive analytics.
We simplify the presentation of crucial insights from the data to decision makers and the provision of workflow, collaboration, and case management for delivering actionable insights based on the specific user environment.