Sprint 16 Plan: Analytics & Insights Team Discussion

by Alex Johnson 53 views

Introduction

This article outlines the Analytics & Insights Team's Sprint 16 plan, providing a detailed overview of our objectives, priorities, and the specific tasks we aim to accomplish. Our focus remains on enhancing data integrity, aligning metrics across platforms, and exploring the feasibility of PowerBI migration. This sprint is crucial for solidifying our data foundations and ensuring accurate, consistent reporting across all channels. Let's dive into the specifics of what we're planning to achieve.

Analytics & Insights Team 2025 Vision Roadmap

Our long-term vision is guided by the Analytics & Insights Roadmap. This roadmap serves as our strategic compass, ensuring that our sprint activities align with our broader goals. It helps us to stay focused on the big picture while addressing the immediate needs of our projects. By regularly referring to the roadmap, we maintain a clear direction and can effectively measure our progress towards our 2025 vision.

Sprint Goals

For Sprint 16, our primary goals are centered around two critical areas: PowerBI Migration Feasibility and Data Alignment. These goals are designed to improve our data infrastructure and ensure data consistency across various platforms. By focusing on these objectives, we aim to enhance the reliability and accuracy of our analytics, which in turn supports better decision-making.

PowerBI Migration Feasibility

Our first major goal is to assess the feasibility of migrating our data to PowerBI. This involves rigorous testing and analysis to ensure that data integrity is maintained throughout the migration process. We're particularly interested in understanding how incremental updates to PowerBI data affect overall data quality. Our approach includes:

  1. Testing Incremental Updates: We will conduct tests to see how incremental updates impact the data in PowerBI. This will help us understand the system's behavior under different update scenarios and identify potential issues.
  2. Analyzing Data Integrity: Ensuring that data remains accurate and consistent during and after migration is paramount. We will perform detailed comparisons to verify data integrity.
  3. Identifying Optimal Update Triggers: Determining the best method for triggering updates is crucial for maintaining timely and accurate data. We will explore various triggering mechanisms and select the most efficient ones.

So far, testing in PowerBI has shown promising results, but we need to extend our tests to include numeric data. Once user data is successfully uploaded into PowerBI, we plan to create charts that mirror those in DOMO. This will allow us to compare the data side-by-side and confirm its accuracy. Key metrics will be reviewed meticulously to ensure that counts align with the data in DOMO, providing confidence in the migrated data. The successful migration to PowerBI will enhance our data visualization capabilities and provide a more robust platform for analytics.

Data Alignment

The second key goal of Sprint 16 is to achieve better data alignment across all our platforms. This involves a thorough analysis of data from various sources, including the mobile team's data and performance dashboard metrics, compared to the data in DOMO. Our primary aim is to identify the most accurate methods for calculating recorded metrics and address any discrepancies that may exist. This will result in a unified and consistent view of our data, regardless of the platform used. Our data alignment efforts will involve:

  1. Analyzing Mobile Team Data: Understanding how data from mobile platforms integrates with our existing data ecosystem is crucial. We will analyze the data added by the mobile team to ensure it aligns with our overall data strategy.
  2. Comparing Performance Dashboard Metrics: We will compare metrics from the performance dashboard with data in DOMO to identify any inconsistencies. This comparison will help us pinpoint areas where data may need updating or correction.
  3. Identifying Reporting Discrepancies: One of our main objectives is to identify areas where metrics are reported differently across platforms. We will document these discrepancies and propose solutions for standardization.
  4. Documenting Findings: Comprehensive documentation of our findings is essential for maintaining data consistency in the future. We will create detailed records of our analysis, including any issues identified and the steps taken to resolve them.

The ultimate goal is to ensure that our data is aligned across web and mobile platforms, as well as between DOMO and the Performance Dashboard. This alignment will provide a solid foundation for reliable reporting and analysis, which is critical for making informed decisions.

Sprint Priorities

To ensure we stay on track, we have established clear priorities for Sprint 16. While the story points planned, completed, injected, and removed are still to be determined (TBD), our focus remains on the core objectives outlined above. By prioritizing these tasks, we can maximize our efficiency and deliver meaningful results.

  • Story points planned: TBD
  • Story points completed:
  • Story points injected:
  • Story points removed:

Epics & Issues

Below is a breakdown of the epics and issues that will be addressed during Sprint 16. These are organized by key areas of focus, including PowerBI Migration Feasibility, Data Alignment, Analytics Implementation, Dataset, Google Analytics Access Requests, and Data Validation & Reconciliation. Each section provides a clear overview of the specific tasks and challenges we will be tackling.

Blockers / Dependencies

Currently, there are no known blockers or dependencies that could impede our progress during Sprint 16. This allows us to focus fully on our planned activities without any immediate external constraints.

OKRs

If your epics or issues support any of the OCTO OKRs, note the OKRs above the epic title like this; OKRs: O2/KR1 - Add 100 more security controls to our AWS Cloud Environment

PowerBI Migration Feasibility

  • List of issues related to PowerBI Migration Feasibility

Data Alignment

  • List of issues related to Data Alignment

Analytics Implementation, Dataset, and Google Analytics Access Requests

  • List of issues related to Analytics Implementation, Dataset, and Google Analytics Access Requests

Data Validation & Reconciliation

  • List of issues related to Data Validation & Reconciliation

Unplanned Work

To maintain transparency, we also track any unplanned work that is brought into the sprint after it has started. This helps us understand how our plans may evolve and allows us to adjust our priorities as needed. Any such work will be documented below, with links to the relevant issues.

Conclusion

Sprint 16 is set to be a productive period for the Analytics & Insights Team, with a strong emphasis on PowerBI migration feasibility and data alignment. By achieving our goals, we will enhance our data infrastructure and ensure the accuracy and consistency of our analytics. This, in turn, will support better decision-making and contribute to the overall success of our projects. We are committed to delivering high-quality results and look forward to a successful sprint.

For more information on data analytics best practices, visit the official website of the Data Analytics Association.