Data Analytics Trends for Sustainability in 2023: Maximizing Efficiency and Minimizing Environmental Impact
Written By: Vaishnavi Gollapudi


As the importance of sustainability continues to grow, data analytics is playing a crucial role in helping businesses make informed decisions that balance efficiency and environmental impact. In this blog, we explore the data analytics trends set to shape the sustainability landscape in 2023 and beyond.

Use of data analytics to support sustainability goals: As more organizations set sustainability goals and targets, they will increasingly turn to data analytics to help them measure their progress and identify areas where they can improve. This could include things like using data to track energy use and carbon emissions, or to understand the environmental impact of different products or supply chains. Systech’s analytics solutions, backed by its strong foundation of data transformation services, helped a food and agro conglomerate achieve the Sustainable Development Goals and improve both profitability and sustainability efforts. These solutions also provided actionable insights for tracking corporate responsibility and streamlining processes.

Development of new data analytics tools and approaches: There will likely be continued development of new tools and approaches specifically designed to support sustainability efforts. This could include things like software that helps organizations track and reduce their water use, or machine learning algorithms that can predict and prevent equipment failures that could lead to environmental accidents.

Greater use of real-time data analytics: Real-time data analytics will be important for sustainability in several ways. For example, it could be used to monitor environmental conditions in real-time, such as air or water quality, or to identify and respond to potential environmental emergencies. Systech recently helped a clean energy company modernize and monitor their solar panel technology through a modern data framework and real-time analytics. The company was able to improve the performance of their solar plant by capturing real-time data from each panel, identifying underperforming panels, and allowing engineers to easily access and analyze data.

Use of data analytics to support the transition to renewable energy: Data analytics will also be important for supporting the transition to renewable energy sources. This could include things like using data to optimize the operation of renewable energy systems, or to identify the most promising locations for new renewable energy projects.

Increasing importance of data governance: As data becomes increasingly important for sustainability efforts, there will be a greater focus on ensuring that data is collected, stored, and used in a responsible and ethical manner. This will include things like implementing data governance frameworks and being more transparent about how data is being used.

By staying up to date on the latest data analytics trends, businesses can harness the power of data to drive positive change and make a meaningful impact on the world around them. We hope this blog has provided valuable insights on the trends set to shape the sustainability landscape in 2023 and beyond.

Ready to begin your journey toward a better future? Reach out to us and explore ways to make your journey towards sustainability seamless, efficient, and profitable. Now that’s a win-win trend to open your new year with!

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