Every testing company requires a solid test management strategy if its goal is to release a flawless product. Most are opting for Jira test management tools to help organize tasks. This article hopes to sway you in a similar direction if you weren't already using Jira. Jira for Test Management Businesses that use Jira for managing the wants and tasks within their project … [Read more...] about 5 Best Test Management Tools for Jira
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.
Retail Technology Trends: 13 Use Cases to Help Stores Reopen Safely and Sustain Revenue
The impact the pandemic has had on brick-and-mortar retail is detrimental. In the US, 12,000 stores had to shut their doors. And those left to wonder: What do we do to sustain our businesses? Below, we look at retail technology trends that can help brick-and-mortar stores survive the pandemic, reopen safely, and lure customers back. 2020 wasn't easy on retailers. Although … [Read more...] about Retail Technology Trends: 13 Use Cases to Help Stores Reopen Safely and Sustain Revenue
How Much Does Artificial Intelligence Cost in 2021-2022?
How much does it cost to create a custom artificial intelligence system? The honest answer would be it depends , as the price of developing, implementing, and maintaining custom artificial intelligence systems is driven by a number of factors and can only be evaluated on a case-by-case basis. In this article, however, we'll figure out what these factors are and provide ballpark … [Read more...] about How Much Does Artificial Intelligence Cost in 2021-2022?
The myriad use Cases for a Technology-enabled Employee Recognition Platform
Employee appreciation used to include posting an Employee of the Month' statement on a bulletin board. Rewards and recognition platforms are getting more immersive in today's tech-driven workplace. What is employee recognition software? Employee recognition software is a type of technology that allows you to handle abstract human principles, such as employee loyalty and … [Read more...] about The myriad use Cases for a Technology-enabled Employee Recognition Platform
The Deck We Used to Raise Our Seed Round For Our Open-Source ELT Platform
There are quite a few decks already available online, and we found them all useful, each in different ways. That's why we thought the deck we used for our seed round could be helpful to some companies, especially those that are open source or developer tools. For context: on that seed deck, we started working on Airbyte in the end of July, and raised our seed round with Accel … [Read more...] about The Deck We Used to Raise Our Seed Round For Our Open-Source ELT Platform
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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.
