The below is a summary of my recent article on how to achieve harmony during disruption. If your AI roadmap ignores bees, bats, or Taoist forests, you're not designing the future-you're just automating human blindness at scale. Most leaders design for efficiency. Few design for life. Aboriginal Dreamtime tells of the Rainbow Serpent-creator of rivers, bearer of all colors, and … [Read more...] about Why Tech Needs a Soul
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.
AI Can’t Replace Your Imagination-Yet
The below is a summary of my recent article on the secret weapon of futurists.AI alone won't predict your company's future. Data and algorithms are essential, but the most successful leaders know they must pair technology with imagination. Futures thinking-a method to identify and interpret early signals of change-is how you build strategic advantage. It's not about guessing … [Read more...] about AI Can’t Replace Your Imagination-Yet
From Bullet Train to Balance Beam: Welcome to the Intelligence Age
The below is a summary of my recent article on the exponential convergence of technology. We're not tiptoeing into the future, we're hurtling into it. Exponential technologies like AI, quantum computing, brain-computer interfaces, blockchain, spatial intelligence, robotics, and 3D printing aren't moving in parallel anymore; they're colliding, amplifying each other, and … [Read more...] about From Bullet Train to Balance Beam: Welcome to the Intelligence Age
Don’t Build Up Relationship Debt!
There has been much angst recently about return to office mandates. Before 2019, most people were working in an office every day, so this is a novel controversy. This past week, I spoke at a conference and was happy to see so many people attending and networking. It reminded me that, whether we like it or not, there really isn't any substitute for spending time in-person with … [Read more...] about Don’t Build Up Relationship Debt!
6 Common Mistakes to Avoid When Developing a Data Strategy
In a tech-driven industry, having a solid strategy is essential for success. Organizations that invest in a clear, well-structured approach to data are better equipped to protect sensitive information and unlock the full potential of their machine learning (ML) models.A thoughtful strategy ensures data is accessible and aligned with business goals, which leads to more reliable … [Read more...] about 6 Common Mistakes to Avoid When Developing a Data Strategy
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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.
