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Data Democratisation - What is It and Why is It Important?

Data Democratisation

In this Information Age, businesses have been inundated with all types of data from various sources—social, machine, and transactional data. Despite the rapidly growing flood of big data however, access to information primarily remains with those who have the technical capability to analyse the data.

Now, as more organisations realise the power of data to transform a business, many have recognised the need to make data more accessible to others. Hence, the conversation on data democratisation. In this post, we discuss what it is and why it could be beneficial to your business, why access to data was previously limited to a select few, and what you can do to implement a data democratisation strategy that equally addresses both risks and benefits.

Data democratisation defined

Data democratisation defined

With its name implying the application of democratic principles, data democratisation is the process by which data is made accessible to everyone. This means that even the average, non-technical user can retrieve and interpret data at any time.

The perennial need to keep data secure has compelled enterprises to ensure that any important information is only made available through IT departments, which have created bottlenecks at the gateway to data pools. But these can all change once data democratisation is implemented in more businesses.

The advantages: Why it’s beneficial for organisations

The advantages

Having the capability to distribute data across all departments is a huge benefit for any company and gives them a significant advantage over their competition. This is because easier access to data also leads to timely and critical business insights that are the foundation of every informed decision. Thus, data democratisation ensures that no time is wasted when it comes to implementing crucial strategies and making business decisions.

In addition, with a data democratisation policy in place, all company employees, regardless of expertise and technical skill, can have access to the data they need when they need it. This empowers them to use the data and gain better perspective in decision making, whether individual or collective. It also helps establish data reporting and analysis as part of day-to-day operations, thus encouraging a data-driven culture within the organisation.

The disadvantages: Evaluating the downsides

The disadvantages

Data sharing, and consequently data democratisation, has been met with apprehension by many pundits; and for good reasons. One valid argument is data security. The more individuals with access to it, the greater the risk of compromise and the potential threat of a data breach. That’s why traditionally only a handful of people were given unlimited access to data: mainly data scientists and analysts, IT professionals, and C-suite executives.

The high probability for misinterpretation and/or misrepresentation of data is another major cause for concern. Employees who have not been trained to analyse data properly may tend to interpret data erroneously, resulting in unsound decisions and possibly huge financial losses to the company.

Having a well-thought out data democratisation strategy may sound well and good, but it does come with a hefty price tag. There are various factors to consider—from establishing the legal framework for the implementation, to getting the right tools and technology to enable enterprise-wide accessibility, to ensuring data security at all levels, and more. These all require the company to invest considerable resources into this large-scale project.

Best practices for data democratisation

Best practices

Organisations that intend to benefit from data democratisation need to come up with a sound strategy for its implementation. Here are three important steps that should be integrated into any plan:

  • Acquire the right tools for data distribution and analysis. Employees don’t need access to all the data; they just need access to the data that matters to them depending on their role, and to have the right tools and technology to use the data. Marketing and sales teams for instance, require customer data that is relevant for new campaigns. A CFO, on the other hand, would need financial information that helps create budgets and allocate resources. Most of these solutions should have the capability to visualise data for easier analysis.

  • Provide employee training. Without proper training, more employees having access to data could be a recipe for disaster. Information overload, poor decision making, financial losses, and reputational risk could result from such a move. To avoid these, companies should educate employees on how to use the available tools for the right analysis of data.

  • Establish a strong data governance policy. Democratising data is not only about sharing data to more employees; the more crucial aspect is ensuring that data is properly managed. This requires a clear-cut data governance policy that checks and balances, and one that aims to establish excellence in how data is collected, curated, shared and secured across the organisation.

Data democratisation is the answer to maximising the value of big data. And with the availability of tools and technology today, enterprises are able to rethink the way they manage and distribute data, allowing more employees to make smart, data-driven decisions.

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