Are Data Silos Undermining Digital Transformation?

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At a time of seemingly ultrarapid digital disruptions, digital transformation in an enterprise needs a bold vision and an intent to embrace change. With the global digital transformation market projected to reach $2.8 trillion in 2025 leaders are expediting their transition to digital across their organizations. And as enterprises course-correct and adapt to specific strategies along this journey, they need a sound understanding of their data to drive informed decisions.

The needed understanding of data-informed decisions is because high-quality data is at the heart of all digitalization initiatives, from delivering invaluable insights to and uncovering latent operational efficiency strategies. And that’s the reason organizations’ must get careful about the creation of data silos.

Today  73.5% of most leading companies are data-driven in their decision-making. In almost every organization, data is collected from diverse sources to analyze and make business-critical decisions. And while these sources may number in the thousands and millions, having data silos building up across an organization is a natural outcome.

Despite modern-day databases and repositories being more robust, it is hard for them to completely ward off data silos, preventing them from realizing the true potential of their digital transformation initiatives.

As a matter of fact, 89% of IT leaders today view data silos as one of the leading obstacles to digital transformation. The formation of silos are often a result of a combination of factors, including mergers and acquisitions, disconnected teams, interdepartmental dynamics, lack of data control, etc.

To prevent the formation of data pockets across organizations, enterprises must cultivate a data-sharing culture rather than a data-owning one. Eliminating silos begins with a cultural shift, necessitating a change in perspective that starts at the top in an organizational hierarchy. Enterprises can adopt several strategies to eliminate such data silos and prevent them from perpetuating.

Various teams in a company hold data close to their chest, as data is knowledge, and knowledge is power. Various verticals typically work with exclusive jargon and processes pertaining to their own departmental goals. Each team sees itself as somewhat remote and distinct from the others, and segregated workspaces compound this spirit of disharmony.

All this leads to a sense of ownership and reluctance to share data with other teams among individual groups, which may harm the organization’s larger interests. Instead, organizations can nurture a culture of sharing and enabling a free flow of information. In doing so, they must also address the concerns of each group about data sharing and guarantee a mechanism to maintain data integrity.

Incentivizing and motivating individual teams to come together and nurture a culture of open data sharing and data unification is key to adopting enterprise-wide data connections. These initiatives resolve data silos, inspire a positive cultural change, turn the wheel of innovation, teamwork, and interdisciplinary efforts, and foster higher collaboration among the leadership.

Typically, various departments work in isolation, even while supporting one another to serve a common objective. Companies need to act as a single unit to optimize available datasets and improve team spirit, productivity, and output quality. While enterprise-wide sharing of information is key to augmenting productivity and generating novel opportunities, data silos pose a barrier to information accessibility, weakening the overall operational efficiency.

Operational inefficiencies can make discovering hidden opportunities difficult. Consequently, educating departments on how data silos endanger organizational success is critical to changing the overall data approach. It is essential to communicate to the teams about the benefits of collaboration and the adverse effects of silos.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.