Solutions For
All Your Needs
Maximizing Productivity, Increasing Value, Risk Elimination
Data Science
Data Integration
This process aids to merge data from diverse sources to create a unified and consistent view, which can often be found in processes like file transfer, database replication, and APIs that occur in batch or real-time modes.
Data Analytics
Saratix employs data analytics to interpret, examine, and draw insights from data sets by utilizing algorithms to extract actionable insights from large and complex data sets. This solutions enables informed decisions to be made through pattern identification.
Data Processing
With data processing, it is capable of extracting data insights while involving sophisticated steps to manage it. It aids in trend identification and pattern discovery which are crucial when it comes to decision making processes.
Data Governance and Management
Saratix has built a robust framework for data governance which employs policies for owned data assets. Concurrently, data management handles the technical and operational aspects of acquiring, organizing, and utilizing data to meet organizational needs. Together, both techniques are vital for protecting sensitive information and leveraging data insights for strategic decision-making.
Data Architecture
Data architecture involves designing and structuring an organization’s data assets, including models and protocols for data management. It acts as a blueprint for data flows within the organization, guiding the development of data management systems.
Artificial Intelligence
Build Models
When it comes to model building, we employ a systematic process that combines algorithms, data and computational power to create intelligent systems. The process is an interactive and ongoing process as the intelligent system learn, adapt and improve based on feedback and changing requirements.
Validate Models
A validation process is well required to ensure the consistent performance of the newly trained AI model. It will undergo an evaluation based on it’s accuracy, F1-score and precision which will progress to model tuning. Adjustments would be made to optimize it’s performance.
Deploy Models
For the final step, the new model shall be deployed and implemented in real-world applications to perform it’s use. As new data arises, the AI model will be continuously updated through retraining periodically with new data.
Cybersecurity
Database Protection
To ensure the confidentiality, integrity and availability of a database, an implementation of security measures are necessary, which involves the combination of technical, administrative and physical controls to protect against any security threats.
Data Validation
Data Validation is a critical solution for ensuring the accuracy, integrity and reliability of data within databases and other data storage systems. It involves implementing processes and techniques to verify the quality and validity of data before it is entered into a system or used for analysis and decision-making purposes.
Authorization and Authentication
Authorization and authentication are two fundamental concepts in cybersecurity that play a crucial role in controlling access to systems, networks, and sensitive information. While they are related, they serve different purposes in ensuring the security and integrity of digital resources, where authentication ensures the identity of the user requesting for access, while authorization is the process of granting or denying access rights and privileges to authenticated users.
Data Integrity
Data integrity in cybersecurity refers to the assurance that data remains accurate, complete and unaltered throughout its lifecycle. This technique is crucial for maintaining the trustworthiness and reliability of information within systems and databases.