State of play: Fintech in Nigeria

About this research

State of play: Fintech in Nigeria is an Economist Intelligence Unit report, sponsored by Mastercard and MTN Group. The report examines key trends in the fintech sector in Nigeria and assesses both industry drivers and impediments to further growth.   

The Hidden Data Economy: Companies need to get serious about managing and leveraging data

Data, not oil, is “the world’s most valuable resource” declared a headline in The Economist in 2017. But rather than acting as a wakeup call for companies to get serious about managing and leveraging their data, many firms are still floundering in a deluge of data and struggling to restructure themselves to create value from it.

How covid-19 could bring about new social contracts around data

The covid-19 crisis could lead to a lasting shift in how we think about data. If we get this right we’ll see radically more data sharing where there is a public interest in doing so, with reliable protections against misuse—the benefits of which will extend well beyond the current crisis. But the details will be all-important.

Unlocking big data with data science

Although the exponentially increasing amount of data in the world can be difficult to weave through, financial services firms can capitalize on this additional information if they have the right people, processes and technology in place.

Data quality: the foundation of effective data governance

A survey of more than 500 business executives in North America and Europe, conducted by The Economist Intelligence Unit and sponsored by Collibra, finds that the objective of data governance programmes is accuracy above all. Improving data quality ranks as the most important benefit of data governance for 38% of survey respondents, equalled only by the related goal of data security. Fifty-one percent of respondents say data accuracy is an important metric of success for their data-governance programmes, the highest percentage for any metric.
 

Championing data throughout the business

Management considered data governance protocols successful if they protected customer data, complied with applicable law and met basic standards of reliability. Underpinning this approach was the widespread view among executives that data governance was a cost centre rather than value driver. Today, more companies recognise that their vast troves of information represent an untapped source of business value, and as a result they’re looking to data governance with new aspirations.

Getting a handle on big data takes technology and talent

The new world of regtech in managing regulatory data

Regtech can help by automating what would otherwise be tactical and manual processes—such as data collection and reporting—and making these tasks more cost effective, efficient and strategic. Advances in areas like artificial intelligence (AI) and machine learning make it possible to automatically parse through regulatory filings, track employee compliance and more. Advanced regtech analytics solutions can also match and cleanse data from various legacy systems quickly and accurately.

Data optimization key for asset owners that insource

Across the globe, many asset owners ranging from large sovereign wealth funds to small university endowments have looked for efficiencies by managing investment portfolios in-house. Globally, pension funds manage nearly half their assets in-house, according to PwC.(1) 

AI key to optimizing institutional investment data

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