In the fast changing world, it is important for organisations to stay ahead. Companies have to react faster on market changes, act not only on present but also on future challenges and take decisions that are out-of-the-box. They can achieve this among others by improving their decision making and Big Data can help your organisations with that. This infographic … [Read more...] about How Big Data Will Improve Decision Making in Your Organisation – Infographic
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.
Five Preconditions To Adhere To When Developing A Big Data Strategy
There is a good chance that your organisations will not exist anymore in 10-15 years from now, if you do not start developing a big data strategy now or in the coming years. However, developing a big data strategy is not easy. A big data strategy requires a data-driven, information-centric culture instead of a culture where decisions are based on raw estimates or gut feeling. … [Read more...] about Five Preconditions To Adhere To When Developing A Big Data Strategy
How To Develop A Big Data Strategy To Outperform Your Competitors
A Big Data study from 2013 by Tata Consulting Services showed that 47% of the 1217 firms surveyed had not yet undertaken a Big Data initiative. A similar research project by the SAS Institute in 2013 revealed that 21% of the 339 companies questioned did not know enough about Big Data and 15%of the organisations did not understand the benefits of Big Data. Several other surveys … [Read more...] about How To Develop A Big Data Strategy To Outperform Your Competitors
Mining the Field of Big Data Strategies
More and more organisations understand by now the need for a big data platform, but they have difficulties actually developing and implementing a big data strategy. John Akred, CTO of Silicon Valley Data Science, discusses how companies can become more data-driven companies and how they should develop a big data strategy. Nowadays, the problem is not so much anymore the … [Read more...] about Mining the Field of Big Data Strategies
Why Sentiment Analytics Should Be A No-Brainer For Organisations
The number of citizens that are active on a social network continues to grow rapidly. At the moment there are more than 1 billion Facebook users, of which around 850 million are active on a monthly basis. There are more than 100 billion connections and each day gives us 2.7 billion new likes. Twitter has 500 million users and 180 million tweets are sent every day. Approximately … [Read more...] about Why Sentiment Analytics Should Be A No-Brainer For Organisations
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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.
