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Daliya Khussainova is a marketing team lead at UiPath.
Big data. The 'hype' around attractive projects with unimaginable amounts of data has calmed down since 2016. Businesses worldwide understood the value of stored information but were unclear how to investigate and act on it. Despite the current silence around big data, data analytics technologies are gaining momentum.
Today, organizations register greater amounts of data than ever before to analyze processes. Traditional business process management (BPM) and business intelligence (BI) techniques aren’t enough, as they don’t provide detailed insights on a process and its measurement.
Process mining, on the other hand, combines data mining and model-based process analysis. It drives the improvement of business performance factors like financial and operational efficiency.
Continue reading...
Big data. The 'hype' around attractive projects with unimaginable amounts of data has calmed down since 2016. Businesses worldwide understood the value of stored information but were unclear how to investigate and act on it. Despite the current silence around big data, data analytics technologies are gaining momentum.
Today, organizations register greater amounts of data than ever before to analyze processes. Traditional business process management (BPM) and business intelligence (BI) techniques aren’t enough, as they don’t provide detailed insights on a process and its measurement.
Process mining, on the other hand, combines data mining and model-based process analysis. It drives the improvement of business performance factors like financial and operational efficiency.
Continue reading...