Unlocking Data Value Through Data Mesh and Data Governance

Although customer experience (CX) professionals have an abundance of data at their fingertips, many struggle to leverage it, integrate it into their strategies, and draw key customer insights from it.

There are a number of reasons for this, including:

According to the IDC’s Worldwide Semiannual Enterprise Infrastructure Tracker: Workloads report, data management accounted for US$41.1 billion in 2022, making it the largest portion of IT infrastructure spending and highlighting the acceleration of data proliferation and the need for data-driven insights.[1]

- Gartner Insights’ Modernize Data and Analytics Capabilities report expects that, by 2025, more than 50 per cent of enterprise-critical data will be created and processed outside the data centre or the cloud, leading to more data being siloed if the situation is left unchecked.[2]

According to Okta’s 2023 Businesses at Work report, the average organisation uses 211 different pieces of software, highlighting how easily data siloes are created, and how difficult they can be to break down.[3]

- Zendesk’s Customer Experience Trends Report 2023 reveals that only 22 per cent of business leaders believe their teams share data well, which means CX experts are missing out on valuable customer insights.[4]

Data governance and data mesh have emerged as powerful strategies to break down data silos and foster a culture of data collaboration and integration within organisations.

Every organisation is familiar with the importance of data governance. It’s critical for the quality, consistency, security, and compliance of data across a business, and acts as the backbone of effective data management. However, even though there are clear policies and procedures for data handling, data governance doesn’t prevent data siloes from forming.

A data mesh, on the other hand, is a decentralised approach to data architecture and organisational design that addresses the complexities and scalability issues of large-scale data management and data silos within departments. By empowering domain-specific teams with the autonomy to manage their own data as a product, data mesh creates a more agile, responsive, and efficient data ecosystem. This approach enhances collaboration and innovation and aligns closely with the evolving nature of modern businesses, where agility and adaptability are key to staying competitive.

From a CX perspective, organisations are striving to harness the full potential of their data assets. Effective strategies require dismantling data silos and empowering CX experts to directly analyse and leverage data, bypassing the need for data teams to first process it into dashboards from structured and unstructured sources in a data lake.

Within this new environment, the role of CX analytics platforms has become increasingly invaluable in improving data quality and fostering contextual awareness of business and customer experiences.

Leveraging CX Analytics Platforms for Data Quality and Trustworthiness

CX analytics platforms play a pivotal role in improving data quality and enhancing the trustworthiness of the data from which key company decisions are made. These platforms leverage advanced analytics and artificial intelligence (AI)-driven insights to aggregate, analyse, and visualise data from multiple touchpoints along the customer journey.

By integrating data governance principles and data mesh architectures into CX analytics platforms, organisations can ensure that data is managed and leveraged in a secure, compliant, and transparent manner. These platforms let executives establish data quality standards, enforce data privacy regulations, and monitor data usage, enhancing the trustworthiness and reliability of the data that drives key company decisions.

Achieving True Contextual Awareness of Business and Customer Experience

The convergence of data governance, data mesh, and CX analytics platforms is instrumental in achieving true contextual awareness of business and customer experience. By breaking down data silos and promoting data collaboration and integration, organisations can gain a comprehensive and accurate understanding of customer preferences, behaviours, and expectations. This holistic view of customer data empowers executives to make data-driven decisions that are aligned with customer needs and market trends, enhancing the overall CX, and driving sustainable business growth.

By leveraging advanced analytics and AI-driven insights offered by CX analytics platforms, organisations can uncover actionable insights and predictive trends that let them proactively address customer pain points, anticipate market shifts, and optimise business strategies. This approach to data analysis and decision-making also empowers companies to stay ahead of the competition and deliver an exceptional CX that promotes long-term customer loyalty and advocacy.

Scalability and Flexibility in Adapting to Market Trends and Technological Advancements

One of the most significant benefits of businesses embracing data mesh and data governance is the scalability and flexibility it offers in adapting to rapidly changing market trends and technological advancements. This approach enables organisations to quickly integrate new data sources, adopt emerging technologies, and adjust to market dynamics without the constraints of traditional, centralised data management systems. Data mesh in particular supports a modular architecture where different parts of the company can innovate and experiment independently, yet cohesively. This agility ensures that businesses are not just reacting to changes in the market; however, are proactively leveraging data insights to drive innovation and stay ahead of the curve. By implementing these strategies, organisations can transform their data management from a static, rigid structure into a dynamic asset that evolves with the company, ensuring long-term competitiveness and success.

Leveraging iPaaS and emite

emite Intergration Platform-as-a-Service (iPaaS) lets businesses manage the flow of data to deliver fully tailored insights to the organisation through emite’s complete end-to-end cloud data management and CX analytics platform. With emite’s unique blend of cutting-edge technology and strategic insights, CX departments can leverage customer data to transform it into a revenue generator.

To discover how your organisation can unlock the value of its data through iPaaS, contact the emite team today.

For more information on eliminating data silos in your organisation, download our tip sheet, ‘10 Ways to Dismantle Data Silos and Enhance Customer Experience (CX)’.

Get in touch with your regional emite office.

Unlocking Data Value Through Data Mesh and Data Governance

There are a number of reasons for this, including:

Leveraging CX Analytics Platforms for Data Quality and Trustworthiness

Achieving True Contextual Awareness of Business and Customer Experience

Scalability and Flexibility in Adapting to Market Trends and Technological Advancements

Leveraging iPaaS and emite

Americas

EMEA

APAC

Unlocking Data Value Through Data Mesh and Data Governance

There are a number of reasons for this, including:

Leveraging CX Analytics Platforms for Data Quality and Trustworthiness

Achieving True Contextual Awareness of Business and Customer Experience

Scalability and Flexibility in Adapting to Market Trends and Technological Advancements

Leveraging iPaaS and emite

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Americas

EMEA

APAC