"Information is the oil of the 21st century, and analytics is the combustion engine," proclaimed Peter Sondergaard, Senior Vice President at Gartner. This quote perfectly encapsulates one of the most pivotal components driving today's strategic decision-making—Big Data.

Big Data, in the simplest terms, refers to extraordinarily large data sets that organizations collect, analyze, and utilize to extract valuable insights. Rooted in three primary attributes—volume, velocity, and variety—Big Data provides a comprehensive, real-time view of business operations and market trends. Once a mere buzzword, Big Data has now permeated almost every industry, transforming how Fortune 500 companies perceive their ecosystem and strategize their growth.

Transforming raw data into actionable intelligence necessitates a meticulous incorporation of Big Data into Strategic Planning. A well-crafted Big Data strategy must center on four key principles:

1. Alignment with Business Objectives: The deployment and application of Big Data should reflect in the company's vision and overarching business objectives. Irrespective of the industry, there should be a direct link between the data an organization collects and the goals it plans to achieve.
2. Investment in Infrastructure: To efficiently handle the volume, velocity, and variety of Big Data, investment in robust infrastructure and modern technology platforms is a non-negotiable prerequisite. A strong technology backbone capable of conducting complex data analysis at scale can drastically impact an organization's data-driven decisions.
3. Data Governance: As data sets grow, so do data complexities. Companies must establish strong data governance policies to ensure the accuracy, privacy, and ethical use of data.
4. Development of Analytical Capabilities: Investing in the competencies of data analysis and interpretation is vital. This could mean upskilling the present workforce, hiring data science experts, or partnering with external entities for focused analytics.

Significantly, Big Data is an essential enabler of Digital Transformation. As organizations increasingly adopt digital platforms, they generate more data—leading to better insights and informed decision-making. This symbiotic relationship promotes Operational Excellence and situational agility, while effectively mitigating Risk Management.

Performance Management has been radically transformed by the advent of Big Data analytics. The ability to analyze a continuously updated data stream enables real-time tracking and measurement of Key Performance Indicators (KPIs). This helps businesses to identify underperforming areas promptly, implement the necessary corrective measures, and pivot quickly towards organizational success.

As the permeation of Big Data continues to rise, its role in strategic decision-making will become even more prominent. Emerging technologies such as AI, Machine Learning, and Blockchain will enhance data analytics, offering unique insights that could shape a company's competitive strategy. It's clear that Big Data is not an ephemeral trend; it is a game-changing element that redefines the rules of strategic management in an increasingly digital world.

To close this discussion, for companies to remain competitive, it is crucial they understand and leverage the power of Big Data. It is a strategic asset that is changing how companies manipulate, implement, and create long-term value, ultimately sculpting the corporate landscape.