In the realm of data analytics and business intelligence, Tableau has proven to be a transformative tool across diverse industries. From internet companies to government agencies and retail giants, Tableau has facilitated data-driven decision-making. However, its impact extends even further, finding a crucial role in industries that generate vast amounts of data not only from human interactions but also from machines. In this blog, I will delve into the implementation of Tableau in the engineering industry, using Honeywell as a case study to illustrate how this powerful platform can enhance data analysis efficiency and intelligence.

  • Honeywell: A Technological Powerhouse:

Honeywell, a Fortune 100 company renowned for its diverse technology and manufacturing portfolio, spans from thermostats and price scanners to jet engines, firefighting breathing apparatuses, and critical components like airplane black boxes. Within this extensive array of operations lies a wealth of data—data that is integral to keeping planes airborne, factories operational, and workers safe. Recognizing the need for agile self-service analytics, Honeywell turned to Tableau to unlock the full potential of their data.

  • Tableau Deployment at Honeywell:
  1. Data Governance and Risk Reduction:

The first deployment strategy at Honeywell involved leveraging Tableau as an opportunity to enhance data governance. Addressing critical questions like “What is the truth?” and “Who gets to see it?” Tableau played a pivotal role in reducing the risk of inappropriate data sharing. This not only ensured data integrity but also instilled confidence in decision-makers across the enterprise.

2.Empowering Data Artisans:

In the second phase of deployment, Honeywell embraced Tableau by assigning dedicated data artisans to each functional area. This strategic move empowered individuals within specific groups to take ownership of data, fostering a sense of responsibility for accurate and meaningful insights. Having individuals dedicated to data within each area streamlined the analytics process and enhanced data quality.

3.Cost Savings and Efficiency:

Perhaps one of the most impactful outcomes of Tableau implementation at Honeywell was the significant cost savings. By enabling agile self-service analytics, the company streamlined processes, reduced dependency on external analytics solutions, and realized millions of dollars in annual savings. Tableau proved to be not just a tool but a strategic investment that yielded tangible financial benefits.

4.Tableau Server Unveiling the Underground Data Economy:

The deployment of Tableau Server at Honeywell served as the key to unlocking the potential of their underground data economy. Users gained the ability to peer into previously unexplored datasets, extracting valuable insights that were once hidden beneath layers of information. This transparency facilitated informed decision-making across various departments and functions.

 

In conclusion, the implementation of Tableau in the engineering industry, as exemplified by Honeywell, goes beyond traditional analytics. It becomes a catalyst for organizational transformation, enabling not only more efficient data analysis but also fostering a culture of data-driven decision-making. By reducing the risk of data governance issues, empowering dedicated data artisans, achieving cost savings, and unveiling the hidden layers of the data economy, Tableau emerges as a cornerstone for success in the ever-evolving landscape of engineering and technology.

The Data School
Author: The Data School