The Modern Data Ecosystem

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As a Data Analyst, one is expected to have a good understanding of the modern data ecosystem and how it is consumed by various stakeholders. While there have been detailed and complex information and various thoughts around the data ecosystem, here is an attempt to simplify it a bit.

Watch the short video presentation from this link.

A data ecosystem is a platform that combines raw data from numerous providers and sources, transitioned and processed into a single Enterprise Data Repository and thereby building value through the usage of processed data.

It is a network of interconnected, independent, and continually evolving entities that includes data that has to be integrated from disparate sources such as images, videos, streaming data, user conversations, social media platforms, IoT devices, Real Time Systems and also legacy databases.

This raw data is organised, cleaned and further optimised in a single enterprise data repository. This allows the data to be analysed to generate insights, and finally collaborated with the active stakeholders to present and act on the insights obtained.

The modern data ecosystem has five archetypes that have emerged: data utilities, operations optimization and efficiency centres of excellence, end-to-end cross-sectorial platforms, marketplace platforms, and ecosystems that focus on the provision of data: exchange, availability, and analysis.

The consumption of data from the modern data ecosystem is done by various stakeholders such as Business entities, Products/Apps, Data Analysts, and Data scientists. Each of these stakeholders has a unique role to play in the consumption of data.

• Business stakeholders use data to make informed decisions and drive growth. They use data to identify new opportunities, optimize processes, and improve customer experience.
• Apps use data to understand user behaviour, preferences, and need and consume the data to provide personalized experiences to their end users.
• Analysts use data to generate insights and provide recommendations to business stakeholders. They use data to identify trends, patterns, and anomalies.
• Data scientists use data to build models and algorithms that can be used to make predictions and automate decision-making. They use data to train machine learning models, build predictive & prescriptive models, and develop algorithms.

To summarize, the modern data ecosystem is a complex network of interconnected entities that provides value through the usage of processed data. The consumption of data is done by various stakeholders such as Business, Apps, Analysts, and Data scientists. Each of these stakeholders has a unique role to play in the consumption of data, to make informed decisions, build models and algorithms, provide personalized experiences and generate insights.