The synergy of business and Information Technology (IT) will be key to harnessing Africa’s full potential - IT News Africa - Up to date technology news, IT news, Digital news, Telecom news, Mobile news, Gadgets news, Analysis and Reports

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The synergy of business and Information Technology (IT) will be key to harnessing Africa’s full potential - IT News Africa - Up to date technology news, IT news, Digital news, Telecom news, Mobile news, Gadgets news, Analysis and Reports
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The synergy of business and Information Technology (IT) will be key to harnessing Africa’s full potential -The African continent is poised for economic growth, rapid urbanisation and increasing incomes with its population expected to reach... -

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The African continent is poised for economic growth, rapid urbanisation and increasing incomes with its population expected to reach about 1.7-billion people by 2030, making it crucial for businesses to fast-track data strategies if they are to remain competitive and benefit from these developments.

Often, data strategies that are led by IT departments focus on the ‘how’ – the technologies required for big data, data cataloguing, data governance, data integration, data lakes and metadata management – without an initial and ongoing investment into understanding ‘what’ data is needed for the strategy to be a success.

Instead, what is needed is for the data strategy to align with business strategy, and for it to be able to evolve in line with changing internal and external environmental factors. This is usually only possible when an organisation’s data and information strategies are led by senior members who understand the business and where it wants to be in the future, and are ardent proponents of using data to continually inform business decisions.

Does this mean that all senior business executives in an organisation should be data scientists? No. On the contrary, all that is needed is for them to be able to use the self-service BI tools and formulate their questions about the business in a way that allows the actual data scientists to manipulate data and get the answers.

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