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What is a Snapshot, why does it matter?

A snapshot is a saved version of your project or program reports at a specific point in time. A snapshot saves everything in ���Ķ���vlog, including all dashboards, cost trackers, risk registers, schedule data and more. This feature allows you to capture the current state of your project, store it securely, and use it for various purposes, such as running scenarios, comparing reports, and maintaining detailed records throughout the project lifecycle.

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Challenges with Data Overtime

Common challenges we see:

❌ Manual Record-Keeping: Maintaining manual records of project data and reports is time-consuming and prone to errors.

❌ Data Consistency: Ensuring that report data remains consistent and unchanged over time can be challenging.

❌ No Standardization: Project data in different formats and varying quality lacks standardization, making it difficult to use for data insights, machine learning, or AI.

❌ Compliance: Meeting compliance requirements often requires detailed historical records, which can be difficult to manage manually.

❌ What's Changed?: Comparing data between two reports, dashboards or data sets is nearly impossible with traditional formats.

❌ Trend Analysis: Without standardized, consistent data stored over time, trend analysis is not possible.

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���Ķ���vlog Snapshot & Time Series Data Solutions

💡 Version-Control: Create version-controlled data storage, reports and dashboards that capture data at a specific point in time, ensuring consistency and reliability.

💡 Comprehensive Record-Keeping: Store and retrieve detailed project or program records easily, ensuring no critical information is lost over time.

💡 Compliance Assurance: Meet compliance requirements with ease by maintaining a secure archive of project snapshots.

💡 Time-Saving: Reduce time spent on manual record-keeping, allowing you to focus more on project execution.

💡 Enhanced Decision-Making: Access historical data to gain valuable insights, make informed decisions, and improve future project outcomes.

💡 Peace of Mind: Know that your project data is securely stored and readily available whenever needed.

💡 Data Hygiene: Standardize and clean your data to improve quality, making it suitable for AI, machine learning, and detailed trend analysis.

💡 Trend Analysis: Use clean, consistent data from snapshots to perform comprehensive trend analysis and gain deeper insights into project performance.

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