Whitepaper

Driving Enterprise Transformation with Modern Data & Analytics

Your employees are smart, curious, hard-working, and know the questions they need to ask and answer to drive the business forward. With the right insights and a data-centric mindset, you can witness an immensely valuable transformation.

What is enterprise transformation?

Enterprise transformation can be defined in the context of data analytics as the change that occurs within a company’s internal processes by adopting a data-driven approach to solving business challenges.

How does data drive enterprise transformation?

In our era of digital transformation, everyone seems to recognize the value of data—especially as its volume and variety have increased. While many organizations have upgraded or deployed new technology solutions in hopes of addressing their data challenges, they lack that propensity to pull data into their everyday business, weaving data-driven decision-making into the behavioral fabric of the organization’s operations.

To close this gap, leaders need to consider not only how to scale the technology, but the adequate support, training, and management structure to effectively navigate change management alongside adoption, overcoming the cultural roadblocks to a data-driven enterprise. Maximizing analytics investments and capitalizing on the transformative potential of data means that everyone encountering it—regardless of skill levels and data fluency—must be able to turn insights into opportunities or innovations

Enterprise transformation within an organization

The ways in which an enterprise completely transforms can be summarized in the following 4 points:

  • Closing the modern analytics gap to transform the enterprise
  • Aligning the roles and responsibilities that empower a data-driven organization
  • Overcoming the challenges of adoption and governance at scale
  • Embracing modern BI to deliver on the promise of self-service analytics

This paper will address key considerations and hurdles in the areas of people, process, and technology to support an enterprise-wide deployment of modern business intelligence and usher in its transformational potential through data-driven decision-making.

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