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Over the past decade, businessintelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive businessdashboards. The rise of self-service analytics democratized the data product chain.
When encouraging these BI best practices what we are really doing is advocating for agile businessintelligence and analytics. Therefore, we will walk you through this beginner’s guide on agile businessintelligence and analytics to help you understand how they work and the methodology behind them.
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With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. Your Chance: Want to build professional CRM reports & dashboards? Your Chance: Want to build professional CRM reports & dashboards?
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Almost all the major software companies are continuously making use of the leading BusinessIntelligence (BI) and Data Discovery tools available in the market to take their brand forward. Let us take a look into the individual concepts of social and collaborative businessintelligence to learn more about how they help companies.
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Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top businessintelligence books as well as our list of the best SQL books for beginners and intermediates. Our next best book to learn data visualization is the “The Big Book Of Dashboards”.
All of our experience has taught us that data analysis is only as good as the questions you ask. Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future businessintelligence much clearer. Don’t ask us why – we didn’t make the rules!
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This is one of the most important dataanalytics techniques as it will shape the very foundations of your success. To help you ask the right things and ensure your data works for you, you have to ask the right data analysis questions. Harvest your data. A dataanalytics methodology you can count on.
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