# OWOX Brand Voice

> Pragmatic, authoritative, and solution-oriented, speaking like a senior analyst who values logic over hype.

## Positioning
OWOX is a semantic layer and self-service analytics platform that turns data warehouses into a library of trusted "Data Marts." It is built for data analysts who need to scale their impact and business teams who need reliable answers without waiting in a reporting queue.

## Voice principles
*   **Direct and Declarative:** Uses short, punchy sentences that state facts plainly. It avoids marketing fluff and "corporate speak" in favor of clear outcomes.
*   **Problem-Aware:** Speaks specifically to the pain of the "reporting backlog" and the chaos of "everyone building their own truth."
*   **Technically Grounded:** Uses industry-standard terminology (SQL, Data Marts, Warehouse, Semantic Layer) to establish credibility with data professionals.
*   **Empowering:** Positions the software as a way to "hire" skills and "free" humans from repetitive tasks rather than replacing them.

## Tone by context
| Context | Tone |
|---|---|
| Marketing Hero | Urgent and outcome-focused. Highlights the immediate relief of clearing a backlog. |
| Product Features | Functional and transparent. Focuses on control, traceability, and the "one-click" nature of the tool. |
| Sales/Comparison | Analytical and value-driven. Uses salary data and job market analysis to prove ROI. |
| User Guidance | Helpful and efficient. Encourages users to "browse," "pick," and "schedule" without technical friction. |

## Lexicon
- **Use:** Trusted data, reporting backlog, Data Mart library, semantic layer, governed, traceability, "hire" (as a metaphor for automation), one source of truth.
- **Avoid:** AI hallucinations, black box, waiting in a queue, manual refreshes, "guessing," unverified numbers.

## Messaging do's and don'ts
*   **Do:** Emphasize that analysts maintain control and ownership of the logic.
*   **Do:** Use the metaphor of "hiring" an automated analyst to describe different feature sets.
*   **Do:** Focus on the "traceability" of every number back to the SQL source.
*   **Don't:** Use vague buzzwords like "synergy" or "digital transformation."
*   **Don't:** Promise "magic" AI; instead, promise "deterministic" results without hallucinations.
*   **Don't:** Frame self-service as a free-for-all; frame it as a governed system.

## Evidence
*   "Get rid of your reporting backlog. Hire"
*   "Analysts govern the logic once. Business users self-serve trusted answers."
*   "Every team does 'self-service' already – in ChatGPT, Claude, Gemini... Everyone builds their own truth."
*   "The skills you’d pay $70–120k/yr for – automated."
*   "Trusted because every number traces to SQL."
*   "The semantic layer you don’t have to build."