Data Intelligence

Implementing a Data Culture – BARC Data Culture Survey 23

Actian Corporation

January 6, 2023

Multiethnic Business Team Meeting In Office

Zeenea is a proud sponsor of BARC’s Data Culture Survey 23.

In last year’s BARC Data Culture Survey 22, “data access” was selected as the most relevant aspect of BARC’s ‘Data Culture Framework’. Therefore, this year, BARC examined companies’ current status, experiences, and plans with regard to their efforts to create a positive data culture with a special emphasis on ‘data access’.

The study was based on the findings of a worldwide online survey conducted in July and August 2022. The survey was promoted within the BARC panel and via websites and newsletter distribution lists. A total of 384 people took part, representing a variety of different roles, industries, and company sizes.

In this article, discover the achievements & priorities regarding implementing data culture from BARC’s Data Culture Survey 23.

The Benefits & Expectations of Data Culture are Promising

One of the major benefits of data culture was improved decision-making, which according to BARC, almost half of the participants achieved. As seen in the graph below, the benefit with the smallest deviation between expectation and achievement is ‘greater acceptance of decisions’. For just under a third, this is a desirable goal, and nearly all achieve it.

Best-in-class* companies prove that improving their data culture pays off. The benefits are significantly more frequent than the laggards, with the differences between them being greatest when it comes to achieving competitive advantage and revenue growth through the use of data.

BARC also mentions that in Europe, more than 50% of participants expect greater benefits by reducing data silos and a distributed understanding of data than those from the USA & APAC! However, actual benefit achievement is noticeably higher in the USA & APAC, most likely because there is a higher adoption rate of new technologies (e.g. more widespread use of data products).

The Initiatives Companies are Improving Data Culture Initiatives

40% of participants are not planning any initiatives in data literacy.

Overall, compared to 2021, the importance of data initiatives has increased in each of the 6 aspects of the BARC Data Culture Framework: Data strategy, Data Governance, Data access, Data literacy, Data communication, and Data leadership.

The most significant and the most implemented initiative impacting data culture was Data strategy, with 94% of respondents considering it to be relevant & 73 percent having already launched or planning to launch the initiative.

Closely related to data strategy is the data governance initiative. Governance is seen as an instrument for establishing a secure, consistent, and reliable data ecosystem that meets corporate & legal requirements. Indeed a third of respondents have already implemented governance initiatives and a further 36% have it planned.

Data leadership is also considered relevant in 92 percent of companies. However, only 20 percent have anything in place and 35 percent have implementations planned.

Data leadership is dependent on the generation of leaders. BARC states in their survey “Strategies for Driving Adoption and Usage with BI and Analytics”, that a new generation of data-driven leaders was cited as the strongest driver of BI and analytics tool adoption and usage.

An interesting note from CxOs: 81% of those surveyed claim that data literacy initiatives have already been implemented or are planned, and the corresponding figure for data communication is 78 percent. However, employees in operational functions and data and analytics leaders and experts report less widespread activity – there is work to be done to convince top management that competence and communication are still nowhere near as far advanced as they think!

Data access initiatives have the highest relevance overall at 96% having already been implemented! Data literacy and data communication trail way behind, each with around 40 percent of participants not planning any initiatives in these areas.

The Obstacles to Overcome for Data Culture Implementation

According to BARC, the top barriers to implementing data culture are the lack of resources, lack of knowledge, organization, and communication. They have consistently been the biggest challenges for data and analytics leaders for a long time. A particular concern is that many are prioritizing initiatives to improve data culture that do not directly address the biggest problems.

For instance, the lack of data literacy is the second most frequent challenge but tackling it is not a high priority for participating companies. Unlike data strategy, data governance, and data access, data literacy is one of the initiatives where a lot is planned but relatively little is done.

In fact, the prevailing opinion is that the purchase of specific data technology or software solves data problems. BARC states that this is not the case. For example, a data catalog without any organization (roles, responsibilities, processes) and active use by data consumers and producers will never be able to deliver the benefits it is designed for.

This also includes data leadership and communication: from the beginning, the goal should be to bring everyone along, empower them, and set an example of data-driven action. This requires creating the necessary space, starting with the development of a data strategy.

actian avatar logo

About Actian Corporation

Actian makes data easy. Our data platform simplifies how people connect, manage, and analyze data across cloud, hybrid, and on-premises environments. With decades of experience in data management and analytics, Actian delivers high-performance solutions that empower businesses to make data-driven decisions. Actian is recognized by leading analysts and has received industry awards for performance and innovation. Our teams share proven use cases at conferences (e.g., Strata Data) and contribute to open-source projects. On the Actian blog, we cover topics ranging from real-time data ingestion, data analytics, data governance, data management, data quality, data intelligence to AI-driven analytics.