Klient: Curiosity Ireland Limited
Format: E-Book
Größe: 333 KB
Sprache: Englisch
Datum: 05.02.2025
A new era of enterprise test data management
Welcome to the new era of test data management
In a rapidly evolving software delivery landscape, this brand new era sees test data take centre stage, playing a crucial role: ensuring that rich, compliant and diverse datasets are readily available to the right teams, at the right time, across the entire enterprise.
The new era of test data demands two fundamental drivers for a successful enterprise test data management strategy:
1. Data protection - enterprises have a critical responsibility to protect the data they have. Breaches can be costly, both from a financial and a reputational standpoint.
2. Data access - ensuring teams across your organisation have access to the data they need, on-demand, is now a necessity. Without access to secure, realistic and varied data, enterprises are putting their software delivery at risk.
As the continues to evolve, advancements in AI, visual modelling, and natural language interfaces will be crucial in making data more accessible and valuable across the enterprise. Businesses must act now to ensure they have the tools to meet the data demands of tomorrow.
In a rapidly evolving software delivery landscape, this brand new era sees test data take centre stage, playing a crucial role: ensuring that rich, compliant and diverse datasets are readily available to the right teams, at the right time, across the entire enterprise.
The new era of test data demands two fundamental drivers for a successful enterprise test data management strategy:
1. Data protection - enterprises have a critical responsibility to protect the data they have. Breaches can be costly, both from a financial and a reputational standpoint.
2. Data access - ensuring teams across your organisation have access to the data they need, on-demand, is now a necessity. Without access to secure, realistic and varied data, enterprises are putting their software delivery at risk.
As the continues to evolve, advancements in AI, visual modelling, and natural language interfaces will be crucial in making data more accessible and valuable across the enterprise. Businesses must act now to ensure they have the tools to meet the data demands of tomorrow.
