Christopher A. MOTURI
MSc in Computer Science with Applications, Aston University, UK; Postgraduate Diploma in Computer Science (UoN); BSc (UoN)
moturi@uonbi.ac.ke
moturi@uonbi.ac.ke
The data revolution has increased data demands for leveraging on Big Data in the production of statistics. The paper assesses the adoption of Big Data in research institutes in Kenya. Data were collected from 64 data practitioners based in the 24 research institutes that have a mandate to produce and analyse official statistics. The paper establishes the risks and challenges of using Big Data in statistics, identifies the determinants of adoption of Big Data in statistics and validates the relevance of a Technology Adoption Model (TAM) for predicting the adoption. It is the conclusion that there are immense opportunities for Big Data in statistics if the associated risks and challenges are addressed and the identified key determinants prioritized to promote the adoption.