Digitizing Data – A New Approach to Creating Seamless Data Streams across the Enterprise

Digitizing Data – A New Approach to Creating Seamless Data Streams across the Enterprise


According to a McKinsey survey, the near future — thanks to digitization — will see under a third of organizations implement intelligent technologies across multiple businesses or functions to weather any storm.

Digitization, thus, is no longer a choice but a necessity.

Automation can only be effective if it can obtain structured, digitized data — But how can organizations achieve this? How can organizations transition to intelligent process automation?

Unstructured data, including images, handwriting, signatures, and mobile content, pose a challenge to capturing and digitizing data. Unstructured data is difficult to analyze because it cannot be processed with rules, lacks standardization, is in a natural language, has limited/no structure or metadata, and can include non-text-based materials.

According to SSON’s 2021 GBS and Shared Services survey, more than 75% of organizations are struggling with unstructured data.

Cognitive Machine Reading (CMR) and Machine Learning (ML) can be a solution to this problem.

To transform into a digitized organization, it is necessary to ‘integrate and orchestrate a variety of cognitive technologies, including data capture, intelligent document processing, natural language understanding, machine learning, process discovery, etc.’

Download the latest report created by EdgeVerve and SSON to know how CMR implementation helps digitize data and overcome persistent data challenges.

 

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