> Time keeper
When data integrity is compromised or data quality is questionable, it can lead to a loss of trust in data. Employees may become skeptical of data-driven decision-making, which can hinder business growth.
TimeKeeper plays a vital role in ensuring data integrity and restoring faith in data. By tracking changes made to data over time and providing a complete audit trail, it helps organizations maintain trust in their data. Knowing that data is accurate and secure can reignite confidence in data-driven strategies.
> The Consequences of Lost Trust in Data
When employees lose faith in data, several critical issues emerge:
• Informed Decision-Making Stalls:
Decision-makers hesitate to rely on data for critical choices. This can lead to delays in decision-making, missed opportunities, and a conservative approach to innovation
• Inaccurate Insights:
Data-driven insights become suspect. Business leaders may question whether the data accurately reflects the reality of the business environment.
• Reduced Accountability:
If data isn’t trusted, it becomes challenging to hold individuals or departments accountable for their performance based on data metrics.
•Impact on Employee Morale:
Employees may feel frustrated and demotivated if they believe their efforts are being driven by inaccurate or unreliable data.
> Rebuilding Trust in Data
Praxi’s TimeKeeper is a crucial tool in rebuilding trust in data. Here’s how it accomplishes this:
1. Comprehensive Data Audit Trail
TimeKeeper provides a comprehensive audit trail of data changes over time. It records who made changes, what changes were made, and when they occurred. This transparency ensures accountability and allows organizations to trace the history of data modifications. When discrepancies or errors arise, they can be easily identified and rectified.
2. Data Versioning
Data versioning is a powerful feature of TimeKeeper. It creates snapshots of data at various points in time, allowing organizations to roll back to previous versions when data integrity is compromised. This means that even if data is inadvertently altered or corrupted, the organization has a reliable backup to restore trust in data.
3. Compliance Assurance
For organizations subject to regulatory requirements, TimeKeeper helps ensure compliance. It provides a documented history of data changes, which can be crucial when demonstrating compliance with data privacy laws and industry regulations. This not only helps in adhering to legal requirements but also reinforces data integrity.
4. User Accountability
TimeKeeper encourages user accountability. When employees know that their data-related actions are being logged and monitored, they are more likely to follow best practices and exercise caution when handling data. This reduces the risk of accidental or intentional data manipulation.
5. Data Quality Improvement
By providing insights into data changes and anomalies, TimeKeeper enables organizations to improve data quality. It facilitates data governance efforts by highlighting areas where data may need attention or validation.
> The Result: Trust Restored, Confidence Regained
When organizations implement TimeKeeper as part of their data management strategy, they send a clear message: data integrity is a top priority. As employees see the transparency, accountability, and reliability that TimeKeeper brings to data management, faith in data is restored.
When organizations implement TimeKeeper as part of their data management strategy, they send a clear message: data integrity is a top priority. As employees see the transparency, accountability, and reliability that TimeKeeper brings to data management, faith in data is restored.
> Praxi Solution: Industry-focused Pre-Trained AI Model Libraries
Praxi’s Industry-focused Pre-Trained AI Model Libraries offer a centralized repository for data assets. It simplifies data asset management, making it easier for data analysts to discover and access the data they need. This reduces the burden on data analysts, allowing them to focus on analysis and insights rather than struggling with data access and management.We have pre-trained AI Model libraries covering privacy, insurance, banking, healthcare, defence, telecoms and utilities organisations.
