The fact is that indigenous firms are still struggling to manage resources to invest in basic IT infrastructure. Hence data analytics adoption, which requires both human personnel and technical infrastructure, is often yet to be strategically considered, shelved for the future, or even when outsourced, it is often poorly managed and under-resourced. Others are also driven by the visibility and immediacy of results or value, which is not a characteristic of data analytics. Data analytics often requires a more intentional strategic alignment to business processes, and otherwise, its value may not be realised.
Further, for innovation to occur, data analytics processes must be sustainable. It is often a long-term value realisation activity, which many indigenous firms tend to shy away from due to limited resources and understanding.
The report argues for the need to enhance data analytics use at the national and regional levels. It proposes fifteen recommendations for creating an all-inclusive enabling environment for indigenous businesses.
This Article was Authored by Prof. Richard Boateng