ciuTshi¶

Release v0.2.0

The Adaptable Data Operations Standard¶

ciuTshi is a simplified collection of data practice modules for establishing and building up your data best practices. Understanding that each data challenge is unique, the standard’s application can be tailored to develop repeatable data processes for valid models and critical data-driven decisions. The use of ciuTshi will result in a higher quality of data and, as a result, improve the value of data-driven decisions derived from solid metrics and advanced data science models.

The rationale for ciuTshi is simple: many organizations pursuing advanced analytic models need high-quality data. We found that organizations often overlooked the essential data processes required to build solid research environments in a rush to implement data science practices. Failure to establish data fundamentals was detrimental in terms of vague metrics, poorly placed data professionals, and inability to assess data asset impact on project value.

The ciuTshi standard is a critical element in building data value. By layering data management, data governance, and content management, ciuTshi’s data operation practices build a tightly woven mesh of metadata assets for many invaluable data models. From fundamental RDBMS to advanced knowledge graph applications, the standard guides organizations with simple heuristics and templated flows to ensure the provenance of data assets throughout data-driven processes.

License¶

This content is subject to the terms of the GNU Lesser General Public License v3.0. If a copy of the LGPL-v3 was not distributed with this file, You can obtain one at https://www.gnu.org/licenses/lgpl-3.0.html.

ciuTshi

Contents

ciuTshi¶

The Adaptable Data Operations Standard¶

Sharing and Contribution¶

License¶