There's no doubt that providing extraordinary customer service is the way to your customer's hearts and minds. But what constitutes 'extraordinary' service? It could be unparalleled convenience, 24x7 support, effective and instant query resolution, and so on. Enter: Artificial Intelligence (AI) tools. If you're still on the fence about the efficacy of AI, consider the following … [Read more...] about 5 Benefits Of Using AI In Customer Service
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.
7 Key Big Data Trends to Watch in 2021
The time for Big Data is here and how. With an average individual generating about 1.7 megabytes of data through their online activities every second; its usage to track user habits, requirements, expectations as well as in market research and evolution and growth strategies for businesses is seeing new light of the day. Up until now,'Big data' was mostly a concept to … [Read more...] about 7 Key Big Data Trends to Watch in 2021
How Hybrid Work Strategies Will Evolve In 2021
Last year was the biggest disruptor tech leaders have ever faced. Some have benefited from the disruption, others have been bled dry by it. Globally, Covid-19 has hurt their revenues and business models of many businesses across a wide array of industries. Though the pandemic has pushed CIOs to the limits of their capabilities, forcing them to be more innovative than they have … [Read more...] about How Hybrid Work Strategies Will Evolve In 2021
Interesting facts about software development: statistics
This year Apiumhub partnered up with codignsans and other software related companies like: clutch, gitkraken, Cooperpress, Level-up, Clockwise, VisionX, Code Climate, LingoHub, Usersnap and took part in a global software development research to find out how companies attract software developers, what are the most popular languages, what are the most frequent … [Read more...] about Interesting facts about software development: statistics
How Chatbots Can Improve Your Lead Generation Strategy
Every marketer on this planet faces one common challenge ” lead generation. Getting a prospect to show some interest and sign up for your product or service is definitely an uphill task. If you are taking the website route for lead generation you are in for a rude shock. No matter how much research you have done, how well written your website copy is, and how great your user … [Read more...] about How Chatbots Can Improve Your Lead Generation Strategy
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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.
