StatefulSets are a great way to manage your application's state. They offer predictable network identifiers and persistent storage that allows you to scale up or down individual instances with ease. However, there are situations when you might not want to use StatefulSets for some applications. For example, if your application has only static configuration files and does not … [Read more...] about Understanding StatefulSets in Kubernetes & When to Use Them
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.
Emerging and Established Tech Trends Reshaping Recruitment
The recruitment sector is constantly evolving with the changing needs of businesses and job seekers around the world. Recruiters in every industry are hard pressed to deliver more effective results in an ever-shortening timeframe for their clients, preferably matching job seekers with employers with little to no error. This is, of course, a difficult goal to achieve. On the … [Read more...] about Emerging and Established Tech Trends Reshaping Recruitment
Healthcare Supply Chain Issues and How to Solve Them With Technology
Crystal Evans, a 40-year-old with a progressive neuromuscular disease, fears bacteria will grow inside the silicon tube that connects her windpipe to a ventilator that pumps air into her lungs. As she told the Washington Post, she used to have a thorough routine before the pandemic. It involved changing the plastic circuits several times a month to keep them sterile. Now that … [Read more...] about Healthcare Supply Chain Issues and How to Solve Them With Technology
Successfully Upskilling An Organization
The need to upskill the data and analytics capabilities of both your analytics community and the broader business and operational communities is widely recognized. It is also difficult to determine exactly who should learn what and how to best teach them. I had the pleasure of moderating a webinar recently featuring three executives who provided some amazing perspectives and … [Read more...] about Successfully Upskilling An Organization
How To Gain Organizational Buy-In From Key Stakeholders For Digital Transformation?
Did you know that 75% of the digital transformation initiatives are stuck in the pilot phase? Yes, you read that right but did you know why this large percentage of digital transformation initiatives are stuck and not able to scale? There are many reasons for it. It could be a lack of interest and engagement from key stakeholders or resistance to change from employees. To … [Read more...] about How To Gain Organizational Buy-In From Key Stakeholders For Digital Transformation?
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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.
