How do you report data warehouse performance to stakeholders?

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Data warehouse performance is a key factor for the success of any data-driven organization. It affects the quality, speed, and reliability of data analysis and reporting. However, measuring and reporting data warehouse performance is not a simple task. It requires a clear understanding of the goals, metrics, and methods of data warehousing. In this article, you will learn how to report data warehouse performance to stakeholders in a way that is meaningful, actionable, and transparent.

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Luis Soares

I make high-quality data be quickly available | Data Engineer | AWS CCP | Scala | Airflow

1 Define performance goals

The first step to report data warehouse performance is to define the performance goals of your data warehouse. These goals should align with the business objectives and expectations of your stakeholders. For example, you may want to achieve a certain level of data freshness, query response time, data accuracy, or user satisfaction. You should also consider the trade-offs and constraints of your data warehouse architecture, such as cost, scalability, or security. Once you have defined your performance goals, you should communicate them clearly to your stakeholders and get their feedback and buy-in.

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2 Choose performance metrics

The next step is to choose the performance metrics that will help you measure and monitor your data warehouse performance. These metrics should be relevant, quantifiable, and consistent with your performance goals. For example, you may use metrics such as data latency, query throughput, query execution time, data quality score, or user feedback score. You should also define the baselines, targets, and thresholds for each metric, as well as the frequency and method of data collection. You should document your performance metrics and explain how they relate to your performance goals.

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Luis Soares

I make high-quality data be quickly available | Data Engineer | AWS CCP | Scala | Airflow
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The metrics we use to analyze the data warehouse performance is the unsorted level of tables, memory consumption and ETL time.

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3 Use performance dashboards

The third step is to use performance dashboards to visualize and report your data warehouse performance. Performance dashboards are interactive tools that display your performance metrics in a graphical and intuitive way. They can help you and your stakeholders to track, analyze, and compare your data warehouse performance over time and across different dimensions. You can use various types of charts, tables, indicators, or alerts to show your performance data. You should design your performance dashboards to be clear, concise, and user-friendly.

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4 Share performance insights

The fourth step is to share your performance insights with your stakeholders. Performance insights are the key findings and recommendations that you derive from your performance dashboards. They can help you and your stakeholders to understand the root causes, trends, and impacts of your data warehouse performance. They can also help you to identify the areas of improvement, optimization, or innovation for your data warehouse. You should share your performance insights in a timely, relevant, and actionable way. You can use various formats and channels, such as reports, presentations, emails, or meetings.

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5 Solicit performance feedback

The fifth step is to solicit performance feedback from your stakeholders. Performance feedback is the input and opinion that you receive from your stakeholders about your data warehouse performance. It can help you to validate, refine, or adjust your performance goals, metrics, dashboards, and insights. It can also help you to build trust, engagement, and collaboration with your stakeholders. You should solicit performance feedback regularly, openly, and constructively. You can use various methods, such as surveys, interviews, focus groups, or workshops.

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6 Implement performance actions

The final step is to implement performance actions based on your performance insights and feedback. Performance actions are the specific steps that you take to improve, optimize, or innovate your data warehouse performance. They can include technical, operational, or strategic changes, such as tuning, scaling, migrating, or redesigning your data warehouse. You should implement your performance actions in a prioritized, planned, and tested way. You should also measure and report the results and outcomes of your performance actions to your stakeholders.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Luis Soares

I make high-quality data be quickly available | Data Engineer | AWS CCP | Scala | Airflow
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I consider the communication to stakeholders, which include non technical people, should be done in a comparative way. It is hard to see value in a number that is isolated, but when compared to amounts from before, the enhancement gets clearer.

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How do you report data warehouse performance to stakeholders?

1

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3

4

5

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1 Define performance goals

2 Choose performance metrics

3 Use performance dashboards

4 Share performance insights

5 Solicit performance feedback

6 Implement performance actions

7 Here’s what else to consider

Data Warehousing

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How do you report data warehouse performance to stakeholders?

1

2

3

4

5

6

7

1 Define performance goals

2 Choose performance metrics

3 Use performance dashboards

4 Share performance insights

5 Solicit performance feedback

6 Implement performance actions

7 Here’s what else to consider

Data Warehousing

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