• Our proprietary AI and manual efforts by our Data Specialists help in collection of significant technology specific, technographic, firmographic, demographic Primary Data
• Technology usage information is collected from tech Association memberships, user group communities, tech-specific job boards, technology magazine subscriptions, user group communities, tech blogs, entitlements, tech specializations, case studies, testimonials, featured customers, white papers etc.
• Publicly available social media and other portals are scanned for the relevant primary data.

• All the data is sliced into useful data attributes which are then uniformly standardized for the important attributes with respect to technology intelligence
• All the attributes are named and categorized based on their relevance.

• Job title verification: Job titles of the subjects are verified using social media as well as company directories.
• Contact information: The contact information is verified by email, phone.
• Company verification: The company details are verified by means of touching each subject in the data file.
• Technographics verification: The technographics and tech-landscaping is verified for each company which is a manual as well as automated process. For manual processing a call-out is done on the companies using a specific product following a script. For automated technographics which is mostly done on web-based applications it is done by technographics verification team using our proprietary AI based mechanism. This mostly entails the web-technology stack.

• Technology type used
• Technology subcategory used
• Technology/Application name used
• Technology Stack
• Country
• Title
• Department
• State
• City
• Size of the company
• Revenue
• Industry
• Employee Size
• Zip Codes
• SIC Codes
• DUNS

Additional attributes are added to the file. The sources of the branch attributes are their parental attributes. For example, SIC code is derived from the specific Industry, Department is derived from the Job Title, Technology Type and Subcategory derived from the Technology/Application name used.

Furthermore, if any new employee at the data subject company joins or replaces any existing one it is added on to the master file to increase the data strength.

This provides more options and additional customization options to the end user.

To maintain the quality it is vital for us to refresh the database periodically. Unlike many online data platforms out there that claim to refresh the data once in 90 days, Dutando refreshes and touches all data subjects once in 45 days. This is to ensure higher deliverability and greater quality data for our clients.

After all – A company’s sales are what their prospect data does to them.