Data Science allows businesses to use the data at their disposal, whether that's customer data, financial data or otherwise, in an intelligent manner. Its results should be a key driver of growth. However, although it's not wrong to see data science as a real game-changer for business, that doesn't mean it's easy to do well.
In fact, it's pretty easy to do data science badly, several reports suggest that a large proportion of analytics projects fail to deliver results. that means a huge number of organizations are doing Data Science wrong. The key to these failures is a misunderstanding of how to properly utilize Data Science. You see it so many times buzzwords like data science are often like hammers. They make all your problems look like nails. And not properly understanding the business problems you are trying to solve is where things go wrong.

Why is Data Science ?

• Improving customer retention by finding out what the triggers of churn night be
• Improving internal product development processes by looking at points where faults are most likely to happen.
• Targeting customers with the right sales messages at the right time.
• Informing product development by looking at how people use your products.
• Analyzing customer sentiment on social media
• Financial Modelling

As you can see Data Science is a field that can impact every department. From marketing to product management to finance, Data Science is not just a buzzword it's a shift in mindset about how we work.

Data Science is about solving business problems:

To anyone still asking is Data Science important, the answer is actually quite straight forward. It's important because it solves business problems. Once you and management, recognize that fact, you are on the right track. Too often business wants Machine Learning, Big Data products without thinking about what they are really trying to do.
If you want your Data Scientists to be successful, present them with the problems. let them create the solutions. They won't want to be told to simply build a Machine Learning project. It's crucial to know what the end goal is.

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Not a single discussion about the technologies and the future of technology is complete without the mention of machine learning. Slowly and gradually Machine Learning has become probably the most important technological breakthrough in recent times. The Machine Learning impacts have the potential to deliver will be huge, and it's gonna be a game-changer for the future.
Several companies are aware of machine learning and it's importance, but not every company has the kind of required expertise to make full use of this technology. Lack of expert resources is the biggest challenge companies are facing.
Machine Learning can be used in detecting anomalies, reconnecting new products enhancing customer services and a lot of things. In fact, with the amount of data that is available along with the exceptional computing power Machine Learning can prove to be extremely useful for the future.
More than 80% of companies, around the world are already planning to use Machine Learning and Artificial Intelligence to enhance their customer experience. There is a lot of innovation happening in the field of Machine Learning. There is no doubt about the importance of Machine Learning but the biggest challenge is the lack of expertise. There is a huge potential but the lack of resources is slowing things down a bit.

Companies are constantly on the hunt for resources that can work in the field of machine learning and are experts in Machine Learning technologies. The demand for Machine Learning is slowly increasing. However, where you do your timing and what certificate you get after completion of the training and whatever that certificate has market value are very important questions to ask before to start learning Machine Learning.
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