
Analyzing Unstructured Data
The increase in digitization and the emergence of multichannel processes has led us into the age of information overload. Organizations rely on this unstructured data to derive actionable insights in terms of business decisions that boost customer satisfaction. In addition to scrutinizing the information provided by the customer, organizations also rely on information collected from various devices. Gartner proclaims, around 80% of data collected is unstructured, assembled from emails, social media feeds and user devices. Here are 10 steps to analyze unstructured data:
• Identifying Data Source: It is important that the data collected is relevant, hence the enterprises should decide on the sources to avoid junk or corrupt data. Online big data development tools can be of great assistance in sorting out the relevant sources from the noise.
• Managing the Unstructured Data Search: Without a definite end-result, the search could be distracted in various different directions. To focus the search on your specific need, use results in predictive analysis before they go through segmentation and integration in the business’ information store. Transform the data into a structured format with the help of competent business management tools.
• Eliminating Useless Data: It is important to sort through the data and separate the relevant data from the unnecessary information. To avoid confusion and wastage of time, this useless data should be deleted.
• Preparing Data for Storage: In addition to keeping the original, it is beneficial to clean up a copy by deleting noise such as white space, or symbols or converting informal text in strings to formal language.
• Deciding on Technology for Data Stack and Storage: It is essential that enterprises use the latest technology to save and stack the data so that in addition to providing easy access to the data, it possesses an updated data backup and recovery service.
• Keep All Data Until Storage: As mentioned earlier, with potential natural disasters knocking at our doors, it is critical to have an updated data backup recovery system.
• Retrieving Useful Information: Retrieving data is another important step in the analysis of unstructured data. Not only does it recover data, but even retrieves information after converting unstructured information.
• Ontology Evaluation: It is beneficial to discover the relationship between the source of the information and the extracted data. This assists with useful insights in terms of organizing the data.
• Record Statistics: Once the data is cleaned and structured, it is time to organize it into statistical representations. The study of these statistics would help the organizations recognize patterns and derive actionable insights.
• Analyzing the Data: After organizing the unstructured data, it is time to analyze and derive decisions that would affect the course of your company. Indexing the data offers the added benefit of consistent patterns for future utilization.
Check This Out:
Featured Vendors
EDITOR'S PICK
Essential Technology Elements Necessary To Enable...
By Leni Kaufman, VP & CIO, Newport News Shipbuilding
Comparative Data Among Physician Peers
By George Evans, CIO, Singing River Health System
Monitoring Technologies Without Human Intervention
By John Kamin, EVP and CIO, Old National Bancorp
Unlocking the Value of Connected Cars
By Elliot Garbus, VP-IoT Solutions Group & GM-Automotive...
Digital Innovation Giving Rise to New Capabilities
By Gregory Morrison, SVP & CIO, Cox Enterprises
Staying Connected to Organizational Priorities is Vital...
By Alberto Ruocco, CIO, American Electric Power
Comprehensible Distribution of Training and Information...
By Sam Lamonica, CIO & VP Information Systems, Rosendin...
The Current Focus is On Comprehensive Solutions
By Sergey Cherkasov, CIO, PhosAgro
Big Data Analytics and Its Impact on the Supply Chain
By Pascal Becotte, MD-Global Supply Chain Practice for the...
Technology's Impact on Field Services
By Stephen Caulfield, Executive Director, Global Field...
Carmax, the Automobile Business with IT at the Core
By Shamim Mohammad, SVP & CIO, CarMax
The CIO's role in rethinking the scope of EPM for...
By Ronald Seymore, Managing Director, Enterprise Performance...
Driving Insurance Agent Productivity with Mobile and Big...
By Brad Bodell, SVP and CIO, CNO Financial Group, Inc.
Transformative Impact On The IT Landscape
By Jim Whitehurst, CEO, Red Hat
Get Ready for an IT Renaissance: Brought to You by Big...
By Clark Golestani, EVP and CIO, Merck
Four Initiatives Driving ECM Innovation
By Scott Craig, Vice President of Product Marketing, Lexmark...
Technology to Leverage and Enable
By Dave Kipe, SVP, Global Operations, Scholastic Inc.
By Meerah Rajavel, CIO, Forcepoint
AI is the New UI-AI + UX + DesignOps
By Amit Bahree, Executive, Global Technology and Innovation,...
Evolving Role of the CIO - Enabling Business Execution...
By Greg Tacchetti, CIO, State Auto Insurance
Read Also
