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Prophecy Target Audience

User Segments

Age: 48

Gender: Female

Occupation: VP of Analytics

Education: Master's Degree, Business Analytics

Age: 42

Gender: Male

Occupation: Director of Data Strategy

Education: Doctorate Degree, Data Science

Age: 39

Gender: Female

Occupation: Data Governance Lead

Education: Professional Degree, Information Management

Eleanor Vance

Eleanor Vance

Age: 48
Gender: Female
Occupation: VP of Analytics
Education: Master's Degree, Business Analytics
Industry: Enterprise Software
Channels: LinkedInYouTubeX

Goals

  • To accelerate time to insights for business stakeholders to drive data-driven decision making
  • To implement robust data governance frameworks to ensure data quality, security, and compliance across all data pipelines
  • To empower business teams with self-service data preparation capabilities, reducing reliance on central data engineering teams and fostering agility.

Pain Points

  • Slow data pipeline development and deployment cycles hinder rapid business response and innovation
  • Lack of consistent data governance and quality controls leads to untrusted data and misguided decisions
  • Constant back-and-forth between business teams and data engineering creates significant bottlenecks and delays.

Prophecy Geographic Distribution

Prophecy's primary market is the United States, followed by India. Other key markets include the UK, Canada, and Germany, reflecting global enterprise reach.

Top Countries

United States flag

United States

65%
India flag

India

15%
United Kingdom flag

United Kingdom

5%
Canada flag

Canada

3%
Germany flag

Germany

2%

Age Distribution

Key Insights

Primary age group concentration shows strong presence in:

31-35

Most active age range

Target Audience Socio-economic Profile

Target users are mainly high-income professionals, often in 2 to 4-person households, reflecting stable career stages.

Employment Status

Income Distribution

Education Level

Prophecy Behavior Analysis

Behavior Profile

LinkedIn
YouTube
Technology News
Professional Development
Data Science Trends
Cloud Computing
Artificial Intelligence
Business Strategy
Desktop Access
Self-service Data Prep
AI-powered Visual Design
Automated Testing
Git Integration
Observability
Reduced Backlogs
Faster Time to Insights
Eliminate Back-and-forth
Data Transformation
Data Engineering
Problem-Solving

Device Breakdown

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