Flexible and Secure Data Modification
Data Controller for SAS® enables business users to update IT owned source tables, secured by review / approve workflow and full audit trail.
Data Controller for SAS® enables business users to update IT owned source tables, secured by review / approve workflow and full audit trail.
Data Controller is designed to provide business users with a tool which can be included in their overall armoury for regulatory reporting.
Having worked in data-intensive SAS environments for many years, the founders of Data Controller experienced first hand the inefficient practices that reporting teams had to endure when changes needed to be made to the data and source system access wasn’t possible.
It was clear to see that users needed the ability to self-serve their data updates. That data owners should have the chance to review and approve those updates. And that all changes to data should be safe and secure, as well as tracked and visible for audit reasons.
The Data Controller is useful for any Enterprise that needs to perform manual data uploads into their preferred database, in real-time, with full validation, approval, security, and control.
Devoted to
Our goal with Data Controller is to focus on great user experience and auditor satisfaction.
Our software saves years of development and testing, as well as avoiding a ‘black box’ custom build.
It is a SAS® Powered Web Application with the following features:
Intra day, concurrent updates are managed using a lock table and queuing mechanism. Updates are aborted if another user has changed the table since the approval diff was generated.
The existing SASLogon framework is used to manage Authentication & Authorisation. End users do not require direct access to the target tables.
ALL data changes require 1 or more approvals before updating the table. The approver sees only the changes that will be applied to the target (new/deleted/changed rows).
Using SAS® libname engines, you can securely update tables in your preferred database. Data Controller supports Retained keys, SCD2 loads, Bitemporal, and composite primary keys.
You are able to track every change of data, including who made the change, when, why, and what the actual change was. You are able to access this feature on the History page.
Adding new tables is a matter of configuration, which can perform entirely within the tool itself. No need to define column types, lengths etc – these are dynamically figured out at runtime.
You are able to configure “Hook scripts” to execute before and after each action. So you could run a data quality check after uploading a mapping table or run a model after changing a parameter.