The North American automotive association AIAG (Automotive Industry Action Group) is publisher of the CQI-19 guideline. The CQI-19 describes product and process approval for sub-suppliers. As a long standing member of the AIAG, TopQM-Systems already specialized early on in the introduction, development and qualification of employees according to the content of CQI-19 and its transfer of knowledge, including methods of „best practice“.
The CQI-19 "product and process approval for sub-suppliers" guideline was developed by the AIAG (Automotive Industry Action Group) to define minimum quality requirements for sub-suppliers. It provides details on the identification and inspection of pass-through characteristics (PTC)
The new CQI-19 standard can be purchased directly from AIAG.
You have the option of setting the standard as
We are official licensed partner of the AIAG in Europe for Distribution and Trainings.
Actionability requires delivery. An insight trapped in a dashboard no one checks is useless. QuickSight allows users to schedule email reports that embed these narratives and anomalies directly into an inbox or an S3 bucket as a PDF. This ensures that the insight reaches the stakeholder (logistics, sales, finance) at the moment of decision-making.
Human beings are poor at spotting outliers in thousands of rows of data. QuickSight’s built-in ML automatically flags anomalies across millions of data points—not just static thresholds (e.g., > $10k), but dynamic, seasonal patterns (e.g., “Tuesday traffic is normally 5k visits; today it is 2k, which is statistically abnormal” ). This pushes the insight to the user’s homepage rather than requiring the user to search for it.
Before evaluating the tool, one must define the output. A non-actionable insight is retrospective: "Q3 revenue was 15% below forecast." An actionable insight is diagnostic and prescriptive: "Q3 revenue fell 15% due to a 40% cart abandonment rate on mobile devices; apply the ‘abandoned cart’ email template to users in the last 24 hours to recover 5%." actionable insights with amazon quicksight pdf
The most revolutionary feature for actionability is Amazon Q . Traditional dashboards require users to drill down manually. With Q, a business user can type, “Why did sales drop in the West region yesterday?” QuickSight automatically analyzes the data, detects anomalies (e.g., a specific SKU going out of stock), and generates a narrative explanation. This reduces time-to-insight from hours of filtering to seconds of conversation.
This is an excellent topic, as it sits at the intersection of , Data Visualization , and Operational Execution . Actionability requires delivery
Often, insights are missed because users skim visuals. QuickSight’s Auto-Narratives add a text box below charts that uses natural language to describe what the chart shows. For a time-series forecast, the narrative might say: “Sales are projected to hit $1.2M next month, which is 8% above target, but inventory in Warehouse B is only sufficient for 75% of this demand.” The insight is not just the forecast; it is the operational bottleneck.
Below is a structured, high-quality essay designed to be persuasive and informative. You can copy this text directly into a document (Word/Google Docs) and then export it as a PDF. From Dashboards to Decisions: Generating Actionable Insights with Amazon QuickSight This ensures that the insight reaches the stakeholder
In the modern data-driven enterprise, the ability to visualize data is no longer a competitive advantage; it is a baseline requirement. However, organizations frequently fall into the "Visual Paradox": they invest heavily in dashboards that are rich in charts but poor in direction. A static graph showing a sales decline is merely bad news; a dashboard that highlights why the decline happened and suggests how to fix it is an asset. Amazon QuickSight, AWS’s serverless BI service, bridges this gap. By leveraging embedded Machine Learning (ML), natural language queries (Q), and interactive authoring, QuickSight transforms raw cloud data into actionable insights —prescriptive intelligence that drives immediate business value.
In addition to the AIAG CQI guidelines, we offer practical automotive training courses on the safe application of methods, standards and guidelines in the automotive industry.
TopQM-Systems is an official partner for distribution and training in Europe!
