Project Include VS FriendlyData

• Comprehensive Guidance
  Project Include provides detailed frameworks and recommendations for implementing diversity and inclusion (D&I) in tech companies, making it easier for organizations to take actionable steps.
• Community Driven
  The initiative is community-based, drawing insights and experiences from a wide range of stakeholders, which enhances the relevance and applicability of the guidance provided.
• Focus on Systemic Change
  Project Include emphasizes systemic changes rather than one-off initiatives, aiming for long-term impact in creating inclusive work environments.
• Resource Availability
  The platform offers a wealth of resources, including research, personal stories, and practical tools for companies looking to improve D&I practices.

Possible disadvantages

• Limited Scope of Industries
  While comprehensive for tech, the strategies may not be directly applicable to non-tech industries without adaptation.
• Implementation Challenges
  Companies may find it challenging to implement the recommended changes due to varying organizational cultures and resources.
• Voluntary Participation
  Adoption of Project Include’s recommendations is voluntary, which may limit broader systemic changes across industries.
• Resource Intensive
  Effective implementation of the recommendations can require significant time and resource investment from participating companies.

• Ease of Use
  FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
• Time-Saving
  By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
• Integration
  FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

• Complex Queries Limitation
  While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
• Language Ambiguity
  Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
• Dependency on Vendor
  Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.

Project Include wins the TechCrunch Include Award

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• FAANG is heavily Asian/Indian?

  Thanks to Project Include, most of the major companies issue annual diversity reports. Source: over 4 years ago

Tracking FriendlyData since Mar 2021.