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Module 1: Embed finance across the company5 Lessons
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Module 2: Identify profit and cash initiatives7 Lessons
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Module 3: Oversee and drive business change13 Lessons
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Module 4: Deliver data-driven strategic insights6 Lessons
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Module 5: Challenge your Board and influence strategy9 Lessons
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Module 6: Drive key decision-making11 Lessons
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Module 7: Represent your business externally6 Lessons
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Module 8: Become a critical and influential voice5 Lessons
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Module 9: Deliver the business plan7 Lessons
There are many different types of data sources that can be used to collect Big Data. Some common examples include social media data, web server log files, sensor data, and financial transaction records. In general, any type of digital information can be a source of Big Data.
To get the most value out of Big Data, it is important to choose data sources that are relevant to the problem you are trying to solve. For example, if you want to use big data to improve customer service, then you would want to collect data from sources like call centre records and online customer reviews.
It can be difficult to know where to start when collecting Big Data. However, there are a few common data sources that are used more often than others. Social media platforms like Twitter and Facebook generate a huge amount of data every day. Web server log files can also provide a lot of useful information, such as what pages are being accessed and how long visitors are staying on each page.
Sensor data is another type of Big Data that is becoming increasingly important as the Internet of Things grows. Financial transaction records are also a common source of Big Data, especially for businesses that want to use it for fraud detection or marketing purposes.
Collecting big data can be a challenge, but it can be extremely beneficial for businesses and organizations. By understanding the most common types of data sources, you can make sure that you are collecting the right data for your needs.
Summary
With the right data, you can solve problems more efficiently, improve customer service, and make better decisions. Choose your data sources wisely and you will be well on your way to unlocking the power of Big Data.
