Introduction  Lifestyles have slowly become more digital over several years now, and this trend has been accelerated since the beginning of the pandemic, even in regions of slower adoption. Having transformed the way customers interact, telcos have since been trying to keep up not only with unprecedented demand for digital services but also the need to engage with customers … [Read more...] about Top telco challenges that zero-touch networks tackle
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.
The Power of Data: How Leading Organizations Leverage Data As A Competitive Advantage
Data is the current and future source of competitive advantage. Borja Gonzáles del Regueral “ Vice Dean, IE University's School of Human Sciences and Technology Business leaders completely understand the importance of data as a fundamental asset for their business growth. Although many have realized its significance, most of them still struggle to understand how it can be … [Read more...] about The Power of Data: How Leading Organizations Leverage Data As A Competitive Advantage
3 big ways that AI is changing the future of business
We often don't realize how much of our daily life depends on artificial intelligence (AI). From smart homes to smart workplaces, AI and machine learning (ML) have changed modern living and how we do business. According to consultancy firm PwC, the AI industry will contribute $15.7 trillion to the global economy by 2030, 14 percent higher than the output of India and China … [Read more...] about 3 big ways that AI is changing the future of business
The Importance of Marketing Automation in Lead Generation for 2022
Despite the dynamic nature of marketing, it's core value has more or less stayed the same - i.e. make sales easier . But how we get there has undoubtedly changed, credits to marketing automation. After all, customers are evolving, and their rising expectations should consume our time rather than spending time manually sending out emails or filtering the good leads. And that's … [Read more...] about The Importance of Marketing Automation in Lead Generation for 2022
A Discussion on Algorithmic Strategies Used in Hedge Fund Trading
Since the inauguration of automated trading in hedge fund management, the global hedge fund market has taken a crucial turn. As hedge funds primarily rely on different trading algorithms, the complex algorithms of automated systems have increased the implementation of automated trading in the hedge fund industry. Consequently, in the growing environment, the top hedge funds … [Read more...] about A Discussion on Algorithmic Strategies Used in Hedge Fund Trading
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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.
