Narrative Science

Automating Data Interpretation

The biggest problem in modern business intelligence is not a lack of data, but a lack of time to interpret it. Most companies have dashboards full of charts, but those charts still require a human analyst to look at them and explain the "so what." Narrative Science solves this by automating the interpretation phase. Using Natural Language Generation (NLG), it converts raw numbers into plain-English narratives that anyone in the organization can understand.

The platform's core value is the democratization of data. When a report is delivered as a written story rather than a complex grid of numbers, the barrier to entry for decision-makers drops. It moves the organization from "looking at data" to "understanding insights," removing the bottleneck of the analyst who usually has to translate the numbers for the executive team.

From Visualization to Communication

Most BI tools focus on visualization—making the data look good. Narrative Science focuses on communication—making the data make sense. While a bar chart can show a trend, a narrative can explain that "Revenue increased by 12% primarily due to a surge in Northeast region sales, offsetting a dip in the Midwest." By providing the context automatically, the software eliminates the need for manual commentary in monthly and quarterly reports.

Narrative Science vs. Standard BI Tools

Standard BI tools like Power BI or Tableau are designed for people who know how to query data. Narrative Science is designed for people who need answers. By sitting on top of these tools or integrating via API, it transforms a static dashboard into an active briefing. It replaces the manual process of "data mining" with an automated stream of insights, ensuring that critical trends are noticed immediately rather than at the end of the month.

Cost and ROI Analysis

The ROI of Narrative Science is found in the reduction of "analyst drag." In many large organizations, highly paid data scientists and financial analysts spend 40% of their time writing summaries and slide decks. By automating this descriptive analysis, Narrative Science reclaims those hours for high-value strategic work. For an enterprise, the cost of the software is significantly lower than the cumulative salary cost of manual report writing across a global team. Detailed pricing is provided via custom quote at narrativescience.com.

Target User Profile

Narrative Science is built for data-heavy organizations that struggle to communicate insights quickly.

• Enterprise finance teams that produce high volumes of monthly and quarterly reports.
• BI vendors who want to add automated narrative capabilities to their own software.
• Executives who need instant, written summaries of KPIs without digging through dashboards.
• Global companies that need to deliver consistent data stories across different languages and regions.