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Digitize and Automate Unstructured Supply Chain Transactions

Learn how a leading freight forwarder saved ~USD 1 million over 18 months and improved accuracy from 70% to almost a 100%.

Gartner estimates that more than 80% enterprise data today is unstructured. Ever since the dawn of digitization, dealing with unstructured data has been a major challenge for enterprises globally.

With existing data management systems not being able to keep up with the onslaught of unstructured data that is not only internal but continues to come their way from external sources like social media, real-time data from IoT devices, geographic data, or via search engine queries – the omni-present problem of managing big unstructured data is much like managing an uninvited house-guest that continues to drain your resources and refuses to leave.

According to Forbes, 71% organizations are struggling with managing and protecting unstructured data.

As pivotal unstructured, enterprise data continues to lie around untouched in the form of presentations, audios, excels, pdfs it proves to be a barrier in attaining billions of dollars’ worth of business growth.

What also looms large is the very real threat of a possible data breach that could topple the organization. Today, following the conventional and limited approach of data management is to go to war with a white flag in your pocket instead of wearing an armor.


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