What is Data Democracy?

What it means, why it matters, and best practices. This article provides definitions and insights into data democratization.

What is data democracy?

Data democracy is a topic that has grown in recent years within the business world. Democratization is essential for businesses and is one of the best developments for data in recent years. For those curious about data democratization, examples of democratization include expanding who has access to data, who can analyze data, and who holds the resulting knowledge for influencing vital processes and decisions within a modern business.

To understand the importance of data modernization, McKinsey reports are an essential resource. Given our current data-driven culture, McKinsey provides critical insights and analytics into how data influences the world and why everyone must have equal access to vital data within a business. To begin understanding the importance of data in the modern world, you must first understand the data culture definition. One can think of data culture as an effort to achieve deeper engagement within businesses to create employee pull and cultivate a sense of purpose. In a healthy data culture, data support a company’s operations, not the other way around. A strong data culture improves the core operations to solve critical issues while enhancing the overall effectiveness and speed of a company’s analytics efforts.

A healthy data culture allows businesses to reduce the time they would typically spend manually managing data, saving time that can be used for other business activities. Having a unified belief system surrounding data is at the core of a healthy data culture in businesses, and it allows employees to reach cohesive decisions that benefit their organization. By prioritizing data culture, businesses can confidently grow and solve any problems they face. Data culture does not only improve how a business operates, but unifies employees in one common, shared goal. Decisions can be made quickly because of the transparent communication that a healthy data culture allows.

Data democratization architecture

A proper data democracy requires a strong foundation on which a democracy is built. Because of this, businesses must understand the concept of data democratization architecture before a true democracy is created. Companies will benefit from data democratization tools like those offered by Acceldata. This platform provides businesses with multidimensional data observability solutions aimed at helping employees stay in control of their data and practice data democratization. Challenges often arise for businesses that do not have a strong democratization architecture, such as an inability for employees to operate reliably, at scale, and under budget.

Given the potential challenges businesses face when democratizing data, companies must look into platforms that will guide them toward democratization. Using Acceldata with standard data software like Databricks is a common solution for Acceldata customers. With Databricks, data modeling can be tracked throughout the entire data pipeline, providing organizations with reliable data and a built-in searchable data catalog. Acceldata understands metadata-driven data pipelines and allows businesses to track their overall performance and quality, leading to a transparent data culture within the organization. Acceldata and its various solutions help businesses craft a data architecture that aligns business operations and data strategies, optimizes costs, and increases return on data investments.

Data democratization strategies

Businesses dealing with large amounts of data must seriously consider a data democratization strategy that can improve how the organization functions. The various benefits of data democratization are only accessible if a company invests time into finding platforms that value sensitive data and a healthy data culture. To begin crafting a data democratization strategy, you must ask yourself: what is data governance? Data governance is a weak spot for many companies struggling to manage and understand their data. Data infrastructures commonly suffer from weak governance, making data democratization tools even more critical for businesses.

Many tech companies still use a traditional, outdated data catalog that does not provide the organization with all the essential data democratization tools. Some tech companies do not prioritize data governance, forgoing governance within their data strategy. While a standard data catalog acts as an inventory of a company’s data assets with metadata to describe these assets, archiving this data is done manually by employees over a long period. This manual work leaves room for errors, ultimately harming a company’s existing data democratization strategy by not providing consistent updates on current data performance metrics. The more data grows within a traditional data catalog system, the more challenging it becomes for organizations to keep track of accurate reporting.

Data democratization: Accenture's view

Businesses dealing with large amounts of data must seriously consider a data democratization strategy that can improve how the organization functions. The various benefits of data democratization are only accessible if a company invests time into finding platforms that value sensitive data and a healthy data culture. To begin crafting a data democratization strategy, you must ask yourself: what is data governance? Data governance is a weak spot for many companies struggling to manage and understand their data. Data infrastructures commonly suffer from weak governance, making data democratization tools even more critical for businesses.

Many tech companies still use a traditional, outdated data catalog that does not provide the organization with all the essential data democratization tools. Some tech companies do not prioritize data governance, forgoing governance within their data strategy. While a standard data catalog acts as an inventory of a company’s data assets with metadata to describe these assets, archiving this data is done manually by employees over a long period. This manual work leaves room for errors, ultimately harming a company’s existing data democratization strategy by not providing consistent updates on current data performance metrics. The more data grows within a traditional data catalog system, the more challenging it becomes for organizations to keep track of accurate reporting.

Data democratization and data governance

Data democratization and data governance are critical elements to creating a healthy data culture within an organization. Without these elements, organizations suffer from inaccurate data produced at a slow rate. Data democracy can be achieved through platforms like Acceldata and data software that directly address common issues for businesses attempting to democratize their data. Organizations face different data democratization challenges when adapting to a new data-driven culture. Without the right data democratization tools, businesses will struggle to improve their data and accelerate their data-driven transformation.

Given the challenges that commonly arise with data democratization and data governance, organizations benefit from data democratization tools like those provided by Acceldata, a data observability platform provider. Acceldata’s tools help businesses eliminate downtime, scale workloads, and automate validation. Acceldata also allows organizations to go beyond routine data monitoring while automating data discovery, exploration, and validation. Acceldata makes it possible for organizations to identify and validate data quickly at scale, making Acceldata an invaluable asset for organizations struggling to democratize their data. By automating data quality and reliability at scale across the entire data pipeline from ingestion to consumption, Acceldata ensures that a business can operate efficiently and with minimal errors. Acceldata makes it easier to understand data democratization and data governance and why these elements are critical to a company’s data culture and democratization.

Data sharing framework

Data sharing between companies requires a strong data-sharing framework to ensure safe, routine practices within an organization. While the concept of a democratized data framework may seem challenging for some, having a data-sharing example can simplify the process of data democratization. Having a common framework for data sharing and a consistent data sharing policy across organizations makes it easier to achieve data democratization for all parties involved in sharing.

Data sharing technology is essential for all organizations undergoing the process of data democratization. Gartner, a technology platform that provides critical insights to executives and teams managing an organization’s data, offers businesses unique research and potential procedures to distill data into comprehensive recommendations. However, data democratization requires businesses to understand data sharing technology and frameworks completely. For example, the data-sharing market size is a crucial insight that companies should have when considering democratization. With Gartner, data sharing is more accessible for employees to gain a complete understanding of. Organizations must also recognize the different types of data sharing, including data between functional, management, and geographic units. All types of data sharing have their unique properties, and further research on these types of sharing is vital to organizations moving toward data democratization.

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