Capabilities Data Data experience

Data experience

Unlock the potential of your data with a unified data experience for seamless integration and trust.

Data experience platform services

Creating a unified data experience across various consumption methods is imperative for organizations seeking to maximize the value of their data assets. This approach ensures consistency, reliability, and security; all vital components for informed, data-driven decisions and instilling confidence in data integrity.

What is data experience

In today’s digital era, data is a strategic asset that propels business growth, operational efficiency, and innovation. Yet, its true value is realized only when it is accurately captured, consistently managed and securely accessed across the organization. Data experience focuses on delivering a seamless, efficient, and uniform interface for interacting with data, regardless of how it is consumed—through APIs, dashboards, tables, or other methods.

Centralized data management models often fall short in providing the agility and flexibility needed for the dynamic landscape of modern business. They introduce bottlenecks and inconsistencies that hinder the realization of data's full potential. A unified data experience is crucial for achieving consistent and reliable access to data across multiple platforms and consumption methods. This seamless approach enables effective data federation.

The lost opportunity

The absence of a unified strategy for data management poses significant challenges, disrupting operations and undermining confidence in data. It's imperative for organizations to recognize the importance of embracing a unified data experience. This approach ensures data consistency, reliability, and security across all usage scenarios.

It's imperative for organizations to recognize the criticality of embracing a unified data experience. Such an approach ensures data consistency, reliability, and security across all usage scenarios.

Inconsistent data

Organizations without unified data experience often face challenges of data inconsistency. In such cases, the same data product can provide different information depending on the method of consumption. This inconsistency can lead to mistrust in the data and hinder data-driven decision-making processes.

Lack of standardized data contracts

The lack of standardized data contracts hinders a unified data experience, as there is no formal agreement on the structure, format, and expectations for data exchange between publishers and consumers. This leads to quality issues and breaking changes. Clear data contracts are essential for ensuring high data quality and seamless integration across systems and stakeholders.

Exposure to governance and compliance risks

The absence of a standardized approach to data governance and compliance can expose organizations to legal and operational risks, especially with the growing complexity of data privacy laws and regulations.

Vulnerable to security breaches

Inconsistent data handling practices and access controls across platforms can give rise to security vulnerabilities, jeopardizing the confidentiality of sensitive data and increasing the likelihood of breaches and unauthorized access.

Data experience principles

To address the challenges of modern data management and unleash its full potential, organizations must adopt four key principles. These principles act as a guideline to ensure consistency, reliability, and security across all consumption methods.

Data –as-a-product

Recognizing data as a product means applying the same level of meticulous attention and strategic planning as with any product in the marketplace. This approach involves managing a data lifecycle of continuous refinement, updates, and eventual retirement to uphold its relevance and value for users. Furthermore, it requires clear ownership and accountability for data, with designated owners responsible for ensuring its quality, usability, and security. Embracing this approach transforms data into a vital, shareable asset that fosters collaboration and fuels innovation.

Embracing data contracts

The concept of data contracts plays a crucial role in achieving a unified data experience. These contracts outline the terms of engagement between data producers and consumers, guaranteeing that data exchange occurs consistently, securely, and in compliance with governance standards. By establishing transparent guidelines regarding data quality, structure, and usage rights, these contracts foster trust and reliability in data across different platforms.

Data quality and governance

Developing and maintaining a robust data quality and governance strategy is vital for ensuring the reliability of data over time. This involves setting up and following strict standards for the acquisition, maintenance, and distribution of data, while also implementing ongoing processes for quality enhancement, integrity verification, and tracking lineage. Aligning these governance practices with current regulations not only ensures legal compliance and risk mitigation but also supports the promotion of responsible and ethical data use.

Secure and controlled access

Implementing strong security measures and controlled access is crucial for protecting data privacy and integrity, ensuring only authorized personnel access specific data. Data ownership is designated across domains to oversee access, with owners identifying sensitive information and ensuring access controls meet strict security and compliance standards. The least privilege principle further limits access to only what is essential for each job role, reducing risks and highlighting the organization's commitment to responsible data use and privacy.

Our approach

Implementing a unified data experience

We support our clients in adopting a unified approach to their data management to harness the full potential of their data assets. Our custom approach combines the above principles to foster consistency, reliability, and security in data consumption and processing.

Phase 01

Define and adopt data contracts

At the core of a unified data experience lies the creation of clear and comprehensive data contracts. These contracts serve as formal agreements that define the schema, ownership, quality standards, Service Level Agreements (SLAs), and even the pricing model for data products.

Define data schema

Identify owners

Specify quality standards

Develop SLAs

Implement pricing models

Phase 02

Leverage technology to automate and enforce standards

Technology plays a pivotal role in automating processes and upholding the standards outlined in data contracts. This pivotal step emphasizes the selection and implementation of tools and systems that streamline data management throughout its lifecycle. Key areas include:

Governance

Security and access control

Schema contracts and data consistency

Automated quality checks

Phase 03

Continuously improve through metrics and feedback

Achieving a unified data experience requires not only the initial implementation of standards but also ongoing adjustments based on real-world use. This can be streamlined by: