The pandemic is having an enormous impact on the healthcare sector. Between overwhelming hospitalization rates, intensifying cybersecurity threats, and an aggravating number of mental illnesses due to strict lockdown measures, hospitals are desperately searching for help. Big data in healthcare seems like a viable solution. It can proactively provide meaningful, up-to-date … [Read more...] about Big Data in Healthcare: Where does the Value Come From?
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.
Driving Businesses with Sales Agility in a VUCA world
Many managers feel ill-equipped to lead in today's ambiguous and fast-paced world, often feeling overwhelmed and not able to keep up with the continuous changes within their organization. Leaders are struggling to understand how to lead in an increasingly VUCA (Volatile, Uncertain, Complex and Ambiguous) environment, where forecasting and planning is no longer something that … [Read more...] about Driving Businesses with Sales Agility in a VUCA world
How can PIM be Instrumental in Taking your Enterprise from Fragile to Fit in 2021?
To say that the year that went by was challenging is an understatement; most businesses were taken by surprise “ some were not ready, some shut shops and some struggled and bounced back, while a few flourished too. But, if there is one thing that organizations of all sizes would agree on, it is the importance of resilience they showed in gearing up for an unknown 2021 ” … [Read more...] about How can PIM be Instrumental in Taking your Enterprise from Fragile to Fit in 2021?
Managing Technical Debt in Agile Projects
Technical debt piling up to a not maintainable project is any software development team nightmare. Nowadays, most IT projects tend to adopt an Agile approach, being it with Scrum or another Agile framework. In fact, the short development and detailed-planning iterations, the frequent feedback loops, and the incremental & continuous delivery approach that are characteristic … [Read more...] about Managing Technical Debt in Agile Projects
6 Tips for Managing Test Cases More Effectively
A marathon, not a sprint, is needed to succeed in any software testing project. Only next-generation test management tools that address all aspects ”creating test scenarios, identifying criteria and risks, preparing test runs, evaluating test outcomes, handling relevant problems, and test design ”can help you negotiate the journey ahead. Test case management (& test case … [Read more...] about 6 Tips for Managing Test Cases More Effectively
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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.
