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A data-driven organization starts with a data culture

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Organizations across industries face the daunting task of deriving, organizing, and ultimately capturing value from the vast amounts of data they hold.

Over the next few years, the world will generate data at a projected rate of 463 exabytes per day. Ten years ago, the world’s total digital storage capacity was only slightly larger. Since organizations need to process large amounts of data, they also need to reliably produce valuable data. There are existing processes to do this, such as extracting and transforming data for analysis. However, for this to be truly effective, organizations need to adopt a culture of data across the organization, not just within traditional data teams.

As organizations continue to prioritize deriving value from data and leveraging it across the enterprise, data teams need to coordinate and collaborate with other business units. Doing so creates a strong data culture that ultimately enables companies to become data-driven organizations.

To achieve this, organizational leaders can take the following steps: Gain mutual understanding between teams to overcome barriers, identify how data impacts the company as a whole, and articulate the value the team is delivering to its end users.

Deepen mutual understanding between teams

Whether data teams are traditionally centralized or distributed across the organization, mutual understanding and coordination of data sources and how they are used is critical to success.

It’s one of the best starting points for establishing mutual understanding about the need for organizations to switch from a process-oriented mindset to a data-oriented mindset. Being data-oriented is having a data-centric mindset. That means putting data above process and making data easily accessible to help you make decisions. Ultimately, this switch fosters a strong data culture, as everyone has agreed to use good data from trusted sources.

In addition to adopting this mindset, teams across the organization should: Importance Be data oriented to ensure full engagement for later success. To do that, leaders across the company need to outline the “why” and “how” behind data orientation to their teams. why Data orientation is important. why When how It affects their role. how You can take steps to become more data-centric.

Explaining this importance and ensuring that individuals understand why they need this mindset and how to implement it will help the organization as a whole to adapt.

Identify the inner impact of your data

It’s easy to fall into the trap of thinking that only data teams can process and understand data.

However, there are many roles within organizations that generate valuable data and intelligence in unique ways. For example, reporting and analytics teams consolidate and transform data to make it more digestible in the form of reports and dashboards for less interested teams. Leadership teams must harness this information and use it to make stronger, data-driven decisions. Similarly, marketing and sales departments can use data to enhance team efforts and meet customer needs faster.

In addition to each of these steps, business leaders should also mention the impact of data across teams and what these different teams are doing to take their work to the next level.

By doing this, you can show a large organization the diverse impact of your data. Identifying this impact internally is another big step in building a data culture.

Data Impact on End Users

Data can impact your customers in many ways, including streamlining processes and helping your organization complete tasks faster. Most importantly, it empowers customers to make more informed business decisions based on data rather than instinct and guesswork.

With so much data and disparate data sources, teams can become overwhelmed and misaligned when it comes to sharing artifacts. Coordinating and collaborating with different teams within an organization to focus on delivering incremental value creates a cohesive, data-driven culture while minimizing team friction.

By working in smaller units, the team can always prioritize end-user items. All of this shows the organization what its work accomplishes and reaffirms the importance of building a data-driven culture, ultimately leading to the organization becoming a truly data-driven organization. Indicates that there is

As organizations seek to make data useful and establish a data-driven culture, the entire organization needs to participate. By fostering mutual understanding among teams to overcome barriers, identify the impact of data, and clearly establish the value that data brings to end-users, leaders can strengthen the data-centric culture of their teams. increase.

When organizations are able to fully implement this, their data becomes useful, increasing the business value and efficiency of their enterprise.

Ian Funnell is Matillion’s Developer Relations Manager..

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