It is no secret that the business world is becoming more data-driven by the minute. Every day, more and more decision-makers rely on data coming from multiple sources to make informed strategic decisions. But, as the use of data becomes more popular, the amount of information being collected is also growing exponentially. 

With this thought in mind, BI tools develop multiple solutions to assist businesses in dealing with their information in the most efficient way possible. From automated reports, predictive analytics, and interactive data visualizations, reporting on data has never been easier. 

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Consumers are more empowered than ever before. With access to an ever-growing number of digital touchpoints for connecting with peers, conducting research, and making all-important buying decisions, it’s up to today’s businesses to provide a level of service that is outstanding across the board.

There’s no denying it: providing a flawless level of customer service is vital if you want to enjoy a successful and sustainable commercial future – and it’s likely that your contact center is the beating heart of your entire consumer-facing operation.

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In our data-rich age, understanding how to analyze and extract true meaning from our business’s digital insights is one of the primary drivers of success.

Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery, improvement, and intelligence. While that may not seem like much, considering the amount of digital information we have at our fingertips, half a percent still accounts for a vast amount of data.

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BI projects aren’t just for the big fish in the sea anymore; the technology has developed rapidly, and the software has become more accessible while business intelligence and analytics projects are implemented in various industries regularly, no matter the shape and size, small businesses or large enterprises. With the assistance of an online data analysis tool, these kinds of projects have become easy to manage and agile in performance.

But sometimes, they can also be tricky: it’s not just pushing one button and expecting your business intelligence to fly over a rainbow. To truly harness the power of a successful BI project, companies must develop a solid plan of action and in this post, we will provide the top tips for developing and executing analytics and BI projects with the help of BI tools, followed by business intelligence examples from different industries. Ultimately, this will bring a solid level of understanding and indispensable potential that business users could implement in their own working environment. From Fortune 100 companies to small business owners, BI tools and technology are becoming the standard to oversee historical, present, and future data of business operations. But what makes these projects successful and what to look out for? We will cover this question, and much more, but first, let’s start with a bit of background.

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Data and statistics are all around us. It is very likely that you have found yourself looking at a chart or graph at work, in the news, sports, media, advertising, and many other places at some point in your life. That is because graphical representations of data make it easier to convey important information to different audiences. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. In many cases, even the chart designers are not picking the right visuals to convey the information in the correct way. 

So, how do you make sure you are using and understanding graphs and charts in the right way? In this post, we will provide you with the necessary knowledge to recognize the top 20 most commonly used types of charts and graphs and give insights into when and how to use them correctly. Each type of chart will have a visual example generated with datapine’s professional dashboard software. 

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