Having trusted and accessible information across your organization helps you better navigate uncertainty and create incredible possibilities with your customers, employees and partners.
Becoming data-driven is critical for real-time, insight-driven decisions and automated actions to accelerate time to market, reduce costs and support sustainable growth. Focusing on these five areas can help your organization unleash the power of your data and become a data-driven enterprise:
- Accelerate business insights for decision-making
- Syndicate data throughout the enterprise
- Leverage governance to enable data confidence
- Optimize actions with human-machine partnership
- Achieve data excellence through culture and operations
Build a data foundation to unleash the power of data
Organizations need trusted information to better navigate uncertainty, improve operational performance and enable valuable experiences for customers, employees, and partners. However, before you can power your organization’s value chain using analytics, automation and artificial intelligence a solid data foundation needs to be built by:
- Accelerating business insights for decision making by ensuring that data can be analyzed at all points of the enterprise to enable data-centric decisions
- Syndicating data throughout the enterprise by harnessing the latest modern data management technologies to drive value
- Leveraging governance to enable data confidence, making sure all corners of the organization trust the data that’s accessible and available
- Optimizing actions with a human-machine partnership that balances human and technology resources to create enterprise efficiencies and reduce errors and costs
- Achieving data excellence through culture and operations by prioritizing data assets so teams can understand and harness the value of that data to drive culture change
Understand the data-AI connection before you invest
Having trusted and accessible information across your organization provides the necessary foundation for moving up the analytics and AI maturity curve – what we call the Enterprise AI Continuum. Artificial Intelligence includes many things from automation to machine learning to large language models. Understanding the capabilities and optimal uses of each can help organizations pursue specific business goals more effectively and optimize return on technology investment.
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Simplify AI Complexity to Generate Value
Organizations want to jump right into AI. But artificial intelligence initiatives can be challenging given the market hype about GenAI and the speed of technology innovation. The stakes are high, and the pressure is on to launch and/or accelerate AI initiatives that generate value. The key is simplifying AI’s complexity by focusing on three fundamental success factors:
- AI strategy. Align your AI strategy with your business strategy. If you are talking to investors or shareholders about increasing profitability or white space business model opportunities, then that's what your AI strategy needs to focus on as well.
- Business use-cases. Focus on identifying high-value business use cases and creating accelerated pathways for moving from POCs to real-world solutions that increase measurable value.
- Data is the foundation. Make data strategy the bedrock of your AI initiative. Because without a coherent data foundation in place, you won’t be able to bring even your highest-value use cases to fruition.
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