onWork.ai’s data retention cycle ensures fresh analytics, tailored to your plan. Data is organized in a rolling window, letting you work with the most recent insights. It operates day-to-day on the basis of different plans and their data retention period, allowing precise tracking of fluctuations.
In the ever-evolving landscape of digital analytics, staying ahead means keeping your insights fresh and relevant. As part of our commitment to providing you with cutting-edge analytics, we want to shed light on a crucial aspect of onWork.ai—our data retention cycle.
Table 1.1 – onWork.ai’s Data Retention as per Our Plans.
How Does it Work?
At onWork.ai, we follow a dynamic data retention cycle, ensuring that you always have the most recent data at your fingertips ( Refer table 1.1 ) . Let’s break down how this cycle operates on a day-to-day basis:
1. Always Fresh:
Your analytics data is organized in a rolling window based on your plan. For instance, if you are on the Starter plan, you’re working with the most recent 90 days of data. And if you’re on pro and ultimate plans, you’ll be working with the most recent 180 and 365 days of data respectively. This approach aligns with the agile nature of digital insights, allowing you to stay current with the latest trends and user behaviors.
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2. Day-to-Day Cycle:
Unlike traditional monthly cycles, our data retention operates on a day-to-day basis. This offers a more granular view of your analytics, letting you precisely track daily fluctuations and patterns. This day-to-day cycle ensures that you’re not confined to a rigid monthly structure, providing flexibility and precision in your data analysis.
3. The Retention Process in Action
Now, let’s delve into the intricacies of the retention process across different plans. Imagine your analytics journey began on January 1, 2024. After the specified number of days for your plan, data recorded on the starting date will commence its departure.
| Plan | Retention Days | Analytics Duration |
| Free | 30 days | January 1, 2024 – January 30, 2024 |
| Starter | 90 days | January 1, 2024 – March 31, 2024 |
| Pro | 180 days | January 1, 2024 – June 29, 2024 |
| Ultimate | 365 days | January 1, 2024 – December 29, 2024 |
Table 1.2 Our data retention cycle, as per our plans
Now, let’s take a closer look at how the Free Plan’s data retention cycle unfolds. With a retention period of 30 days, it maintains a dynamic buffer to ensure the freshest insights for users.
As an example, let’s consider our free plan and the critical date of January 31. On this date, the earliest data, which corresponds to January 1, bids farewell, making room for the newest information. ( Refer Fig.1 ) It’s a seamless transition ensuring that the analytics dashboard stays up-to-date.
As the calendar flips to February 1, the Free Plan’s mechanism ensures that the data from January 2 takes its leave. ( Refer Fig.2 ) This rhythmic process continues, offering a balanced blend of historical context and recent interactions within the defined 30-day window.
4. A Real-Life Example:
Let’s consider a practical scenario.
- A Free Plan, initiated on February 15, 2024, witnesses data departure on May 15.
- A Starter Plan, commenced on March 23, 2024, bids farewell on June 21.
- With the Pro Plan since August 17, 2024, data departs on February 13, 2025.
- Under the Ultimate Plan from November 8, 2024, data initiates its departure on November 7, 2025.
These instances exemplify the dynamic nature of OnWork.ai analytics plans and their pricing structures.
5. What You Need to Do:
Review Your Analytics:
Take a moment to review and export any critical data you wish to retain within your plan’s designated data retention period. This proactive step ensures that you have essential insights at your fingertips, even as the data retention cycle progresses. Additionally, the data can be conveniently downloaded in Excel format, providing flexibility for users to utilize it as needed.
Consider Upgrading or expanding with addons:
Should you find the need for extended data retention beyond your plan’s cycle, consider upgrading to a higher tier for increased data storage. This offers a solution for users seeking a more extensive historical dataset, aligning with their specific plan’s retention duration.
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Consider our available add-ons [here]
In conclusion, onWork.ai’s data retention cycle is designed to provide you with the best of both worlds: a continuous stream of fresh data for current insights and the flexibility to retain critical historical data if needed. Embrace the dynamic nature of digital analytics with onWork.ai.
We’re committed to empowering your analytics journey, and we hope this clarity on our data retention cycle enhances your experience with onWork.ai.
If you have any questions or need assistance, feel free to reach out to us at contact@onwork.ai.
*Co-Created by Gen AI
