Journey towards Data Integrity using Data Contracts

Introduction

Expedition in a nut-shell

Data contracts will provide the organisation a framework for governing data usage, ensuring compliance, and mitigating risks associated with data quality and integrity.

By establishing clear guidelines on data formats, semantics, and validation rules, data contracts enable strategic decision-making, foster data-driven initiatives, and promote trust and transparency within the organisations data ecosystem.

You will also experience

Build Ownership And Collaborations
Between Teams

Do Right Things With Data
Across Organisation

Data Engineering

Highlights

Data contracts are particularly valuable in environments where insights are generated collaboratively across multiple teams. In such settings, data flows between different groups, each potentially modifying or generating datasets. Here, data contracts help maintain consistency and clarity in several ways:

Shape of data by establishing the right schema

Data contracts specify the structure and format of data, ensuring all teams use and understand data in a uniform way, thus avoiding mismatches and errors in data handling.

Establish org-level semantics at a data level

They define the meaning and interpretation of data elements clearly, so all stakeholders have a common understanding, which is crucial when data inputs and outputs are interconnected among various teams.

Fix issues of scale in a clean and reliable manner

By considering the data volume, freshness and quality aspects, data contracts address issues related to the scale of data, how current the data needs to be, and standards for data quality. This ensures that all teams are working with data that is not only up-to-date and large enough to be statistically significant but also clean and reliable.

In such complex ecosystems, data contracts act as a binding agreement that keeps all teams aligned on these critical aspects, preventing confusion and errors, thereby enhancing the overall integrity and usefulness of the data-driven insights.

Who else took this journey

Organisation was able to boost business teams’ efficiency while shielding them from changing data models or complexity in joining datasets, and eventually deliver better business outcomes.

Introduction

Relevancy

Which of these situations do you normally see in your organisation?

Complexity of Data Interactions

This dimension measures how frequently and intricately data is shared or exchanged between different teams. High complexity indicates multiple dependencies and interactions, where data contracts can help manage expectations and maintain consistency.

Criticality of Data

This dimension assesses how crucial the accuracy and timeliness of data are to the success of the organization’s objectives. Teams dealing with data that have a high impact on decision-making or regulatory compliance would benefit greatly from clear data contracts.