Unlocking Dark Data with Cognitive RPA for Smarter Business Growth
Traditional RPA has automated predictable and repetitive tasks using structured data from sources like databases and spreadsheets
In Today’s world, businesses generate vast amounts of Data everywhere. However, a large chunk of this data remains unused and unstructured.This unprocessed, concealed data is commonly known as 'Dark Data’.So, what can businesses do with all this hidden potential? That’s where Cognitive Robotic Process Automation steps in.
What exactly is “Dark Data” is?
Traditional RPA has automated predictable and repetitive tasks using structured data from sources like databases and spreadsheets.However, this accounts for only a small portion of the data within an organization. Dark data makes up the unseen 80% of information that is partially structured or completely unstructured, often found in sources like documents, emails, images, videos, and other similar formats.
This data is crucial for day-to-day operations, but until now, digital workers could not access or process it, limiting their effectiveness. Human workers, who have far more potential, are often tasked with extracting and interpreting from these unstructured sources.
Cognitive Automation Solution:
Cognitive Automation bridges the gap Cognitive RPA, powered by Cognitive Automation services, can transform how businesses handle unstructured data by adding structure to it. This allows for Intelligent Automation of tasks like processing invoices, purchase orders, or mortgage applications, which heavily rely on dark data hidden in documents and other media.
How Cognitive RPA can uncover Dark Data:
Here’s how Cognitive RPA can help businesses unlock the power of dark data:
1.Data Extraction: Cognitive RPA uses AI to scan and extract important information from documents, emails, or databases. This helps bring hidden data into the light.
2.Data Classification: After extracting the data, Cognitive RPA can organize and label it according to set rules. For example, it can automatically categorize invoices, customer feedback, or purchase orders.
3.Decision Making: Cognitive RPA analyzes the extracted data, helping businesses make informed decisions. It identifies trends, patterns, and important insights, enabling businesses to act on them.
4.Learning and Improving: Unlike traditional RPA, Cognitive RPA learns from its interactions and improves over time. The more it processes data, the better it becomes at identifying relevant information.
Benefits of Cognitive RPA in Dealing with Dark Data
1.Enhanced Efficiency: Manual data entry and processing take a lot of time and are prone to errors. Cognitive RPA reduces errors and speeds up data handling.
2.Cost Savings: Automating tasks and uncovering valuable insights from dark data help businesses save costs on manual labor and improve decision-making.
3.Better Insights: Cognitive RPA helps businesses access hidden data, turning it into actionable insights. This means more informed decisions and better business outcomes.
4.Improved Compliance: With Cognitive RPA, businesses can ensure that they’re capturing and storing all necessary data, helping them meet regulatory requirements.
Wrapping Up
In an era where data is king, businesses can’t afford to let valuable dark data go untapped. Cognitive RPA provides a powerful solution for uncovering hidden information and transforming it into useful insights. By leveraging Cognitive RPA, businesses can emerge from the age of dark data and stay ahead in the competitive market.