The analytics landscape is forever changing, and a major driver of this dynamism in the future could well be the rise of augmented analytics. This refers to augmenting or enhancing the effectiveness of data analytics, data sharing and business intelligence by machine learning (ML) and natural language processing (NLP). The wider use of data analytics will soon lead to more innovative implementation cases as well as skills in making business models more efficient. And the digital architecture of a number of firms is evolving slowly but surely to incorporate augmented analytics in the day-to-day work of HR professionals.
Quite. A recent report from Gartner supports this contention, stating that: “By 2020, augmented analytics will be a dominant driver of new purchases of analytics and business intelligence.” The global market for augmented analytics is expected to touch $22.4 billion by 2025. Also, according to the report, the highest CAGR in this market is likely to come from the Asia-Pacific region during the period 2019-2025.
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