In today’s digital world, data is generated everyday. Data is generated in different categories like social media, messaging apps, email, video, text files, photos, Scanned documents, PDF contents and so on. Data is created across different industries as per their business. Healthcare industries are embracing digital content to enhance internal processes, exchange of health records, and discover diagnostic possibilities. Pharmaceutical industries publish clinical trial reports. In Real Estate, land records, property transactions are digitized as textual content. The Banking and Financial services industry maintains every transaction and operational data. Manufacturing, Retail industries have experienced significant growth in data generation over time.
Across all industries and modes of data generation, unstructured data makes up 80% or more of all enterprise data and this percentage is increasing.
Unstructured data has its own advantage during generation but tapping into its potential is challenging without the right tools. It is free-flowing, contains insights and can be generated easily. It is rich in details but it is less organized, and can be changed any time. On the contrary structured data is highly organized and can be fed to database or ML models easily. Unstructured data can be obtained easily, while structured data is housed in silos.
With data capture, important information can be extracted from all data generated in business processes. Extracted data from different sources can create a central repository of data with role-based access. Businesses can collect information from different sources to create more informative repositories. Data Repository can be used for Predictive Analytics, Business Intelligence and any data-driven solutions.
Companies can use unstructured data as an asset in their Analytics solutions instead of relying only structured data
Technologies such as big data, intelligent automation (IA) and AI are at the forefront of the next wave of digitisation. Big data allows companies to gather large amounts of data and extract meaningful insights that can be used to make strategic business advancements, minimizing costs and maximizing results. However, only gathering large amounts of data is rarely enough. Combining automation with data analytics can help organizations to deliver quicker outcomes through increased accuracy and enhanced operational efficiency.
dataRobo provides comprehensive data extraction from documents. It also provides a simple User Interface for validation for extracted data. Platform is powered by Generative AI, Computer Vision to transform documents of any complexity into structured and validated data. dataRobo has feature to query the data after transformation in human like language
