It's no secret that one COVID trend that will remain is that of at least partial remote work arrangements for many professionals. In recent months, there has been a push for employees, including analytics and data science teams, to come back to the office at least part of the time. This blog will examine a metric that I believe is critical to consider when developing your … [Read more...] about Return on Commute: A New Metric to Evaluate Benefits and Cost of Remote Work
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.
Winning In Consumer Packaged Goods With Data Quality
The last few years have seen a wide array of challenges before the Consumer Packaged Goods (CPG) Sector. Buyer expectations have changed, there's been a pandemic and lockdowns that disrupted the supply chain, companies have faced innumerable logistics-related issues, they have been forced to invest heavily in new technologies and so on. In light of these hurdles, data has … [Read more...] about Winning In Consumer Packaged Goods With Data Quality
Creating and Delivering an Effective Data-Driven Presentation
Delivering an effective data-driven presentation to a live audience isn't the same as discussing technical details with peers or compiling a written document. This is especially true when, as is often the case, the presentation is for a largely nontechnical audience. Entirely different ways of organizing and presenting information are necessary to help an audience that doesn't … [Read more...] about Creating and Delivering an Effective Data-Driven Presentation
Reshaping business strategies with AI
Artificial intelligence is revolutionizing the technology industry. We are seeing an increase in the number of solutions that include chat bots and virtual agents, with huge organizations incorporating AI all over the whole tech stack. According to a recent Market and Markets report, the worldwide AI market will be worth USD 190.61 billion by 2025, with an annual growth rate of … [Read more...] about Reshaping business strategies with AI
Skills You Need to be a Great Software Engineer (Besides Coding)
If you are a software engineer or if you want to become one, you probably know that there are a lot of skills that come into play here. A successful software engineer needs a comprehensive skillset, composed of hard, specialized skills directly tied to their role in a dev team. This is essential for successful product development and rollout, but also for your marketability as … [Read more...] about Skills You Need to be a Great Software Engineer (Besides Coding)
+
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.
+
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.
+
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.
+
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.
+
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.
