What separates narrative reporting from traditional reporting?

In the past, it was acceptable for processes to take more time. Social media was nonexistent, and news was delivered twice daily—once in the morning paper and again on the evening broadcast. Companies were not overwhelmed by information, and IT departments did not have to provide curated data to analysts instantly. Reports were not expected to be prepared immediately.

Today, the pace has changed dramatically. Traditional news outlets are pressured by social media, leading to rapid news cycles. Businesses must continuously analyze large volumes of data and cannot wait for monthly reports to inform their next steps.

Despite efforts such as cross-department teams and new technology initiatives aimed at generating faster insights, reports often fail to keep up. They tend to be bland, formulaic, and offer little value for decision-making.

Why Analytic Reporting Falls Short

There are two main reasons why analytic reporting often does not meet expectations:

1. 1.The answers to complex questions require deep subject matter expertise, which not all analysts possess. The person who understands the problem is not always the one creating the report.
2. 2.Most reports are fundamentally descriptive and lack the analytic sophistication and context needed to provide deeper insight into complex business problems.

It is possible to create reports that drive business value. The key is to use a business intelligence (BI) solution that includes self-service narrative reporting. Narrative reporting provides deep, data-driven context beyond the static data views and visualizations found in traditional reporting, making it a core part of the analytic decision lifecycle.

Why BI Solutions Can’t Deliver Incisive Insight

Many BI solutions available today do not offer the necessary toolsets for narrative reporting. Across the BI spectrum, analytics software either makes it too difficult to publish sophisticated analysis in reports, or the publishing tools are so basic that the resulting content provides only shallow context.

Traditional BI tools may allow users to publish reports with KPIs and data visualizations, but they often require advanced user skills or IT assistance. Self-service BI providers make it easier for non-technical staff to use, but they focus on data visualizations in dashboard-style reports and often limit or exclude true publishing functionality. These visualization-based reports, while visually appealing, lack analytic depth and do not allow users to provide descriptive text that contextualizes the analysis. They also do not meet the needs of decision-makers, executives, and board members who require published reports.

Some advanced BI solutions promote machine learning and automation as part of the reporting process. However, organizations should be cautious about relying solely on automated tools for analytic tasks better suited to subject matter experts using intuitive reporting and publishing tools. Automated tools may generate large amounts of text, but they cannot deliver the nuanced, sharp, and relatable content needed to communicate vital insights.

Pyramid Analytics Makes Narrative Reporting Possible

Pyramid Analytics offers a product that enables analysts to create and distribute published reports with the right balance of content. Analysts can conduct analytic research, create compelling visuals, and embed that content in published reports curated for specific audiences and shareable in various formats.

Reports created with Pyramid Analytics feature richer analyses and a wide range of contextual elements that adapt to specific data configurations. Visualizations and grids are data-driven, and the commentary itself is also data-driven. For example, users can add slicers to filter and display relevant data based on conditions or audience. Pyramid Analytics can be configured to display conditional commentary, showing or hiding entire sections based on specific logic. This enhances the analysis and makes reports more impactful and customized for the intended audience.

The Pyramid Analytics Advantage

As an analytics platform, Pyramid Analytics empowers analysts and end-users to build models and interrogate data in a single self-service environment. Importantly, it treats narrative reporting—reporting that provides deep data-driven context beyond static data views and visualizations—as a core part of the analytic lifecycle. Users can craft and automate engaging, dynamic narrative reports using the same tool they use to prepare data models and conduct advanced analytics inquiries. When reporting is directly tied to data, includes dynamic content that provides deep context, and adheres to established security protocols, it delivers contextualized insights that guide better decision-making.