Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of highly interactive dashboards. Take a comfortable seat, enjoy the power of engaging business dashboards, leave your spreadsheets behind, and utilize the advantages of interactive dashboard design and its capabilities.

But before we delve into the bits and pieces of our topic, let’s answer the basic questions: What is an interactive dashboard, and why do you need one? In essence, in this post, we will explain all the details needed for dashboard reporting and creation, compare interactive vs. static reporting, and provide tips and tricks to make your company perform even better. Let’s get started.

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Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and online data visualization. Companies need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights – enter the world of data science tools.

But being an inquisitive Sherlock Holmes of data is no easy task. There are a number of tools available on the market, and knowing which one to choose to increase performance can be time-consuming, and often confusing. Not to forget various areas of data scientists employed in, from academia to IT companies.

But we will not focus on their choice of industry, instead, we will take a closer look at the basic definition of these tools, and consider the most popular data science tools and software on the market in order to maximize the scientist’s role in an organization and/or company. Finally, we will expound on data science visualization tools that create powerful interactive dashboards by using a modern dashboard creator.

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When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools, and involve your team. We know that the best approach is an iterative and flexible approach, no matter the size of your company, industry or simply a department. When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics.

That said, in this article, we will go through both agile analytics and BI starting from basic definitions, and continuing with methodologies, tips, and tricks to help you implement these processes and give you a clear overview of how to use them. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same. Therefore, we will walk you through this beginner’s guide on agile business intelligence and analytics to help you understand how they work and the methodology behind them. Without further ado, let’s begin.

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In the digital age, great businesses are founded on great insight — the data-driven kind. Without access to valuable business data, regardless of your niche and sector, you’ll merely be shooting in the dark when making key commercial decisions.

But data is only valuable if you know how to handle it effectively.

With so many digital insights available in our hyper-connected age of information, a  professional report tool is the most effective means of collecting, curating, organizing, and analyzing your most valuable business data.

To help you understand data-driven reporting and propel your business to the next level, we’re going to explore the difference between static reports and dynamic reports.

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Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success.

Business intelligence steps up into this process by creating a comprehensive perspective of data, enabling teams to generate actionable insights on their own. With the introduction of online BI, companies today have the chance to create additional value, and, ultimately, profit.

At its core, business intelligence (BI) encompasses the strategies and technologies used by companies for the detailed online data analysis of key business-based information. BI technologies offer historical, current, and predictive insights into various aspects of business operations, thus helping a company to make informed decisions on activities centered around finances, marketing, sales, competitor research, social outreach, internal processes and more.

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