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Accelerating Data Transformation

January 2022

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Summary

Speeding up data transformation relies on a dual focus—technology and people. Disruption over the past two decades, sped up by COVID-19, has pushed organizations to quickly adopt digital models. However, many digital transformation projects stop due to lack of data integration and literacy. Companies like Airbnb exemplify the successful combination of data and digital strategies. For other organizations, the process includes building a data-fluent workforce capable of deriving insights and making informed decisions. This involves understanding data maturity levels, empowering employees with the necessary skills, and promoting a culture of continuous learning and collaboration.

Key Takeaways:

  • Digital transformation is a process, not a one-time project.
  • Successful digital transformation requires both technology investment and workforce transformation.
  • Data literacy across the organization is essential for leveraging digital tools effectively.
  • COVID-19 has sped up the need for digital transformation, making data fluency more important than ever.
  • Creating a culture of learning is essential for sustaining digital transformation efforts.

Deep Dives

Two Decades of Disruption

The past two decades have seen tremendous disruption across multiple industries due to digital innovation. Companies like Amazon, Airbnb, and Uber have set a precedent for digital-first operations. The pandemic further sped up this shift, forcing organizations to adopt digital solutions quickly. According to Gartner, 70% of boards sped up digital business initiatives amid budget cuts in 2020, with digital transformation ...
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remaining a top priority. This urgency highlights the necessity for organizations to adapt quickly to maintain competitive advantage.

Data Transformation as a People Investment

The key to digital transformation lies not only in technology but in people. Data transformation involves equipping the workforce with the skills to leverage data effectively. It’s a process of moving from being data-reactive to data-fluent, where everyone can access and analyze data competently. "Organizations need to look at data first to succeed in their digital initiatives rather than treating them as an afterthought," emphasized Mike Rawlings, a research VP at Gartner. This requires a reliable infrastructure and a culture that prioritizes continuous learning.

Building a Data-Driven Culture

Data transformation is fundamentally about culture change. As Sudaman Thoppan Mohan Chandra of Allianz Benelux stated, "Data culture is not just an option to succeed in data analytics initiatives; it is business-critical." This involves promoting a mindset where data-driven decision-making is integral to business operations. Organizations must invest in talent development to ensure data literacy is widespread, enabling all employees to make informed decisions and optimize business processes.

Practical Steps for Upskilling

Organizations must realign their strategy to prioritize data literacy and skill development. Identifying learning personas and creating custom learning paths are important. Regular skill assessments help track progress and identify gaps. Companies like Allianz have successfully implemented custom learning tracks, aligning them with business objectives to enhance their workforce's data capabilities. This strategic approach ensures that upskilling efforts translate into tangible business outcomes.

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