Frédéric ROBERT photo

By Frédéric ROBERT Data Advisory Director

In 19 June 2023

Psst! Did you accidentally misplace your invitation to the Gartner Data & Analytics Summit? No worries, data enthusiast! While you couldn’t attend, we’ve got you covered with the key insights. In this article, we’ll explore the three pillars organizations must prioritize to thrive in the data-driven landscape.

1. People are Paramount: Emphasizing #Data Literacy

During the Gartner Data & Analytics Summit, a key focus was placed on the critical role of empowering data citizens in data initiatives. It was highlighted that investing in technology alone is insufficient without fostering data literacy and engagement among the workforce. To truly unlock the potential of data, organizations need to cultivate a culture of trust and commitment to data-driven decision-making

By involving business stakeholders and recognizing the significance of data-related roles, organizations can create an environment where people actively participate in designing solutions and engaging with data. This approach not only improves data literacy but also encourages business involvement, leading to better insights and outcomes from data initiatives. Through training programs and educational resources, organizations can equip their data citizens with the necessary skills to understand and effectively utilize data, enabling them to make informed decisions and drive value from data assets.

In this regard, Apgar can collaborate with companies to develop data literacy training programs tailored to their specific needs. With our experience and educational resources, we can assist people in acquiring the necessary skills to understand and effectively utilize data.

2. Active Metadata and Data Cataloging: Building Comprehensive #Data Catalog

Organizations often encounter challenges when it comes to effectively populating and maintaining their data catalogs. Traditional approaches and tools struggle to gather relevant metadata, hindering the maintenance and updating of catalogs. This lack of comprehensive data cataloging poses difficulties in data governance, data discovery, and overall data management.

To address these challenges, organizations can adopt a practical approach to streamline their data catalogs. Breaking down data-related tasks into achievable milestones and involving business teams ensures that catalogs are comprehensive and usable. By implementing active metadata solutions that automate metadata collection and maintenance, organizations can enhance data discovery, governance, and democracy.
Active metadata enables easier data discovery by providing accurate and up-to-date information about the data assets. It facilitates efficient data governance by automating metadata capture and ensuring that metadata remains consistent and reliable. Additionally, comprehensive data cataloging strategies enable organizations to track and manage their data assets effectively, improving overall data management practices and enabling better decision-making.

Apgar can help organizations establish active metadata solutions, using proven tools and methodologies to automate metadata collection and maintenance. We can also support in designing and implementing comprehensive data catalogs, facilitating data discovery and accessibility.

3. Evolution of Technology and AI: Industrializing Data Solutions with #AIDrivenOperations

In the rapidly evolving world of data and analytics, organizations are moving beyond the initial phases of technology adoption and focusing on industrializing their data solutions. This shift involves integrating business needs, leveraging the expertise of data professionals, and harnessing the power of artificial intelligence (AI) to enable value from data initiatives.

Industrializing data solutions requires the development of data pipes that align with business objectives. It involves leveraging AI-driven operations to automate processes, uncover hidden insights, and drive informed decision-making. By integrating AI technologies into operational processes, organizations can extract valuable insights from large datasets, automate repetitive tasks, and enhance the efficiency and effectiveness of their data initiatives.

Through the industrialization of data solutions, organizations can achieve scalability, agility, and improved business outcomes. It enables the transformation of data into a strategic asset that drives competitive advantage and empowers organizations to stay ahead in the data-driven landscape.

In today’s data-centric world, organizations must embrace these key pillars to unlock the full potential of their data strategy. By prioritizing people and data literacy, organizations empower employees to harness the power of data. Active metadata and data cataloging enable comprehensive data management, leading to improved data governance and democracy. Finally, the evolution of technology and AI-driven operations allows organizations to industrialize their data solutions and gain actionable insights.

By partnering with us, you can benefit from a trusted advisor guiding them throughout their data transformation journey. Our expertise and experience enable us to provide tailored advice and practical solutions, helping organizations optimize their data strategy and gain a competitive advantage.

Would you like to get in touch with our experts?

If you agree, disagree, or have anything to add to these views on business strategy, digital transformation and how data contribute, please leave a comment below.