Steppingblocks data comes from a three phase process.
1. Data Acquisition
To start, Steppingblocks acquires data points from hundreds of publicly available online sources into our data lake. We never ask individuals to submit their own information. Everything we collect is drawn from public sources, including but not limited to resumes posted online, job and skills data, publicly available company bios, directories, and contact information, Information from public employment and federal databases
2. Data Processing
Once collected, this raw information adds up to over 1 billion career milestones. Before any of it reaches you, it goes through a rigorous validation and machine learning process designed to get those billion plus data points into an actionable form. During this stage, we check for duplicates and merge profiles as necessary, flag any anomalies for human review, use machine learning to make predictions for information such as salary, and test for accuracy through human audits and certification.
3. Accessing the Data
After processing, we're left with 150+ million individual, record-level profiles spanning 25+ million companies and 7,000+ colleges and universities. Each profile can include details such as name, age, gender, salary, location, degrees, schools, employers, job titles, industries, skills, interests, contact information, and more. You can explore this data instantly through our Graduate Insights and Digital Career Counselor platforms with no extra setup or data submission is required on your end.