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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.

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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.

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:


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:

Defining KPIs

Feedback loops

Outcome measurement

Technology integration