Challenges Faced When Enabling Organizations with Data

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Published
January 12, 2024
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Organizations are increasingly relying on robust database management systems to harness the power of information. Database management professionals play a pivotal role in this data-driven landscape, ensuring that data is not just collected but is utilized effectively to drive informed decision-making. However, the journey towards enabling an organization with data is fraught with challenges that demand attention and innovative solutions. 

Insights gleaned from our industry study underscore key hurdles faced by database management professionals, ranging from stakeholder data literacy and uncatalogued data to issues of documentation management, poor data quality, and the imperative need for speed to business insight. This study offers a snapshot of the proportions of challenges, shedding light on the critical areas that demand attention and innovative solutions for enabling organizations with data.

biggest challenges for data enablement at a company

Stakeholder Data Literacy (61%)

One of the most significant challenges is the lack of data literacy among stakeholders. Bridging the gap between technical experts and end-users who may lack a deep understanding of data intricacies is crucial. Many individuals may not be familiar with data analysis concepts or tools, which can hinder their ability to leverage data effectively. According to recent statistics, a staggering 61% of professionals find this to be a significant hurdle. 

To address this challenge, organizations should invest in comprehensive data literacy programs, providing training and resources to enhance stakeholders' understanding of data and its potential. Effective communication and education programs become imperative to ensure that stakeholders can derive meaningful insights from the data at their disposal.

Uncatalogued or Uncategorized Data (52%)

In the labyrinth of data, many organizations find themselves grappling with the issue of uncatalogued or uncategorized data. More than half of database management professionals (52%) cite this as a major challenge. Without a systematic approach to classifying and organizing data, extracting relevant information becomes an arduous task. Implementing robust data cataloging systems and metadata management practices is crucial to unravel the potential hidden in the data troves.

Managing and Updating Documentation (52%)

Documentation is the backbone of any well-managed database system. However, a significant 52% of professionals highlight the challenge of managing and updating documentation. In a dynamic business environment, ensuring that documentation remains accurate and up-to-date is an ongoing battle. Automation tools, coupled with vigilant data governance practices, can streamline this process, enabling professionals to keep documentation in sync with the evolving data landscape.

Poor Data Quality (45%)

The old adage "garbage in, garbage out" holds particularly true in the realm of data management. Nearly half (45%) of database management professionals struggle with poor data quality. Inaccurate, incomplete, or inconsistent data can lead to faulty analyses and misguided decisions. Identifying data quality issues is a challenge many companies face. Implementing data quality frameworks, regular audits, and data cleansing protocols are essential to maintain the integrity of the data ecosystem.

Speed to Business Insight (45%)

Timeliness is crucial in data enablement. Organizations need to deliver insights quickly to facilitate informed decision-making. Slow data pipelines, complex data models, or inefficient processes can hinder speed to insights. Forty-five percent of professionals identify the speed to business insight as a significant challenge. Database management professionals are under constant pressure to deliver actionable insights in real-time. 

Addressing this challenge requires a focus on optimizing data pipelines, streamlining data processes, and investing in tools and technologies that enable faster data processing and analysis.

Database management tools such as real-time multiplayer data editing allows multiple users to collaborate on the same set of documentation at the same time.

Stale Data Assets (29%)

Outdated or stale data assets pose a challenge to 29% of professionals. Keeping data current and relevant is a perpetual challenge as the business environment evolves. Adopting data lifecycle management strategies, where data is systematically evaluated and updated or retired as needed, can help mitigate the impact of stale data on decision-making processes.

Searching for Data (26%)

Locating specific data within a vast and complex database can be akin to finding a needle in a haystack. A quarter of professionals (26%) grapple with the challenge of searching for data efficiently. Improved data indexing, intuitive search functionalities, and user-friendly interfaces can significantly enhance the ease with which professionals navigate through data repositories.

Duplicate Data (13%)

While less prevalent than some other challenges, 13% of professionals still struggle with duplicate data. Redundant information not only clutters the database but also introduces the risk of inconsistencies. Implementing data deduplication processes and employing advanced algorithms for duplicate detection can help minimize the impact of duplicated data.

As organizations increasingly recognize the value of data, the role of database management professionals becomes more critical than ever. Tackling the multifaceted challenges highlighted above requires a combination of technological innovation, robust governance frameworks, and a commitment to ongoing education. 

In the evolving landscape of data management, addressing these challenges head-on will pave the way for organizations to unlock the full potential of their data assets and stay ahead in the competitive market.

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