The below is a summary of my recent article on how Taoism can help us with disruption. Obsessing over every shiny new tech could wreck your business. Here's why Taoism might just save you from innovation burnout. Navigating today's tech landscape feels like surfing a tidal wave-exciting but chaotic. With breakthroughs in artificial intelligence, quantum computing, blockchain, … [Read more...] about Ancient Wisdom Beats AI? Taoism’s Surprising Guide to Tech Chaos
Strategy
Learn everything about data strategy, what it should include in order to be successful, and how you can develop a data-driven business strategy for your business.
Hyper Moore’s Law: Buckle Up, Exponential Just Went Supersonic
The below is a summary of my recent article on Hyper Moore's Law.Forget exponential-if you're still thinking about doubling speeds, you're already behind. We've officially outpaced Moore's Law. Welcome to the age of Hyper Moore's Law, where technological growth moves faster than our ability to fully grasp its impacts. This rapid acceleration is no longer limited to just … [Read more...] about Hyper Moore’s Law: Buckle Up, Exponential Just Went Supersonic
Data Product vs. Data as a Product (DaaP)
On one hand, people fear losing their jobs to AI, and on the other, a survey found that 2 out of every 3 executives are uncomfortable relying on data from advanced analytic systems. Why - because they do not trust the data. Whether it is to manage inventory or make product recommendations, having good quality data is becoming more important every day. There are 2 ways … [Read more...] about Data Product vs. Data as a Product (DaaP)
Upgrading Humanity: The Software Patch We Desperately Need
The below is a summary of my recent article on Spiral Dynamics. The biggest risk we face isn't AI, it's us. If humanity doesn't evolve its thinking, we won't just be outpaced by technology, we'll be shackled by it. The future belongs to those who climb the Spiral. Are you ready to level up? Technology is evolving at breakneck speed, but is humanity keeping up? While AI, quantum … [Read more...] about Upgrading Humanity: The Software Patch We Desperately Need
The Digital Renaissance: Adapt or Be Left Behind
The below is a summary of my recent article on the Digital Renaissance. This isn't just another tech revolution-it's a complete reset. AI, blockchain, quantum computing, and robotics aren't evolving separately; they're colliding, amplifying each other, and accelerating change at a speed few are prepared for. We're living through a Digital Renaissance, but unlike its European … [Read more...] about The Digital Renaissance: Adapt or Be Left Behind
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What is data strategy?
Data strategy, also called analytics strategy or business data strategy, is the organizing principle for an enterprise’s investments in data and data-related technologies. Data strategy provides a framework for thinking through the complex trade-offs in managing data as an enterprise resource.
It helps business leaders make decisions about where to focus their data investments and how to maximize the value of those investments. Want to learn more about data strategy? Datafloq has courses available. Contact us to get started.
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How does data strategy work?
Data strategy starts with a clear understanding of an organization’s business goals. From there, it defines the role that data will play in achieving those goals and outlines a plan for how to get the most value from data. Data strategy is an essential part of any organization’s overall data business strategy.
When done well, it can help organizations make better use of their data and gain a competitive edge. But when executed poorly, it can lead to wasted resources and missed opportunities. Data strategy is not a one-time exercise; it should be revisited regularly as an organization’s business goals and needs evolve.
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What are the four big data strategies?
Big data can be a big help when it comes to making decisions for your business. But how do you make sense of all the data out there? One way is to use the four big data strategies:
- Performance management — Helps you track and improve your business’s performance.
- Data exploration — Helps you understand your data and find hidden patterns.
- Social analytics — Helps you analyze data to understand customer behavior.
- Decision science — Helps you use data to make better decisions.
These strategies can help you get the most out of your data and make better decisions for your business.
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What should a data strategy include?
A data strategy should be designed to help an organization achieve its business goals. It should be aligned with the organization’s overall data business strategy to be effective, considering its unique needs, such as its size, industry, and geographic location.
The data strategy should also define the roles and responsibilities of those responsible for managing the data. Finally, the data strategy should identify the tools and technologies that will be used to collect, store, and analyze the data. By considering these factors, an organization can develop a data strategy to help it meet its business goals.
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What is a big data strategy, and why should companies have the strategy in place?
Big data refers to a large number of data companies have access to. It can come from various sources, including social media, transaction records, and sensors. The challenge for companies is to make sense of this data and use it to improve their business.
A big data strategy helps companies to set goals and priorities for dealing with big data. It also helps them to invest in the right technologies and build the necessary expertise. Companies will struggle to get the most out of their data assets without a big data strategy. They will also be at a competitive disadvantage compared to those companies that have invested in big data.
