Must-Know Data Strategy Priorities for CIOs

Today’s data strategy revolves around four key initiatives, including data democratization and data orchestration.

Data is the essence of any business operation, whether used to make informed decisions or to drive growth. However, having a massive collection of data scattered across departments is not enough. The real game-changer lies in how you use and manage this data, and this is where data strategy comes in.

Data strategy is the foundation on which data management and its dimensions rely. Any advancements in this area, from the basics of data governance to advanced analytics, have a direct positive impact across all business functions.

The best data strategy is driven by four key priorities: data democratization, data orchestration, a drive-to-market strategy, and risk management.

It’s no longer enough to make data and analytics available to more users. An ever-growing number of jobs now rely on data interpretation, especially when looking at data in new and innovative ways. If human interpretation isn’t needed for a task, an algorithm can (and will) usually be put in its place.

With access to new tools that make it easier to explore and manipulate data, employees can move beyond basic reporting and analytics to finding and explaining anomalies more quickly. As a result, the workforce is becoming increasingly data literate and can work without support from data specialists.

As data literacy becomes more common in the workplace, employees are expecting (and sometimes demanding) greater access to more data. A successful data strategy addresses this by focusing on transparency and accessibility.

We are at the crossroads of technological innovation. Businesses that were at the front of the digitization race earlier now have siloed data systems with multiple on-premises storage locations. To be able to advance toward data science and AI, they need this data to be combined and organized centrally. A centralized data architecture for an enterprise helps automate and streamline data-driven decision-making and supports technologies that work in that direction.

Data orchestration provides a way to easily bring data together from multiple sources, standardize it, and prepare it for analysis and insights while ensuring data security, privacy, and governance.

Data orchestration from siloes to a centralized system helps tackle some critical issues such as complying with data privacy laws, removing data bottlenecks, and enforcing data governance across the organization, helping to achieve data democratization.

Every organization has the know-how to maintain data directly related to its business growth.