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Business Intelligence has become increasingly important for companies to remain competitive in the marketplace. From their practices, organizations are able to measure their team performance and make predictions for the future, making more assertive decisions about practices to follow. Business Intelligence is critical to competitive advantage and business advancement, but reaping the benefits of this concept requires more than just implementing technology. When you take over the management of a company or lead a project team, decision making becomes part of your work routine. It turns out that, at many times, choices need to be quick and any hasty option or flawed decision process can compromise business results. Although it may seem simple, decision-making ability is not a common attribute for all managers. Why BI is Crucial for your Business? The professional who masters BI is able to see the facts that others cannot because they master certain technologies and have knowledg...

The rules of Business Intelligence are evolving, and this has made a huge impact in some sectors, not only because of the speed of technological advances, but also because of the new techniques of extracting value from data. 2018 was a year of innovation as well as product and service enhancements, leading organizations to an analysis of how to prioritize a modern BI approach that drives the company to get the most value from their data. Thinking of the people ahead, Adriano Chemin, vice president of Tableau, a data visualization company, brought together the main trends of Business Intelligence. Let’s look at the topmost trends of Business Intelligence for 2019 and beyond Explainable Artificial Intelligence That Artificial intelligence (AI) is here to stay is a fact. Thanks to machine learning companies are able to create clusters of behavior, identify market trends, assess risks, make quick decisions and automate millions of activities that previously consumed time and reso...

Before we get into Business Intelligence v/s Data Science, let us know what they are. Data Science is a relatively new discipline. Nevertheless, there are many self-proclaimed Data Scientists who claim to have been in the industry for over 30 years. The Data Scientist function has really taken shape over the past decade when many Silicon Valley companies had to start managing their massive mountain of data. But do not get me wrong, there were already a lot of people with a similar analytic role before the term Data Science. At that time, these disciplines were called “statistical profession”. Later, analysts merged under Business Intelligence (BI), a discipline that aims to obtain information from data that a company owns. It is similar to the definition commonly used to describe Data Science (“data set knowledge extraction”). But what is the difference between Data Science and Business Intelligence? Read More:  https://www.wisdomplexus.com/blogs/business-intelligence-vs...

Business intelligence (BI)  is a set of technology-driven process, technologies and architectures that convert raw data into actionable information which drives informed/profitable actions. It’s a suite of services and software that transforms data into valuable intelligence and knowledge. Some standard functions of business intelligence technologies include reporting, analytics, online analytical processing, data mining, business performance management, process mining, complex event processing, text mining, predictive analytics, prescriptive analytics and benchmarking. Business Intelligence technology can handle large amounts of structured and unstructured data to help identify and develop or create new strategized business opportunities. Read More:  https://www.wisdomplexus.com/blogs/business-intelligence-bi-future/

Business Intelligence: A large amount of data is generated from all kinds of industries, also known as big data. Business Intelligence implements processes, surrounding data gathering and data analysis.  Big data  analytics trends have drastically changed over the years ranging from an organizational approach to business-driven data approach. Since it embraces all areas of agile life cycle development business, organizations need to implement the latest data analytics trends. This never-ending stream of data can be challenging when it comes to drawing insights from a large data pool of unstructured data. Here are “5 Big Data Analytics Trends” that will take your business to new heights: Read More:  https://www.wisdomplexus.com/blogs/big-data-business-intelligence/

Multiple organisation have invested in Business Intelligence solutions depending upon their agenda or as per their industry norms. No matter what your agenda is or which circumstances you are working in, here are some essential elements you should include in your Business Intelligence solution to optimise your business. BI software tools: Data analysis and Ad-hoc reports are the most common features any Business Intelligence package has. At the starting of your business probably excel sheets would have done the job but with growing business and the amount of data generated you need to move to a dedicated analytics solution such as  Tableau ,  SAS ,  QlikView  or  Domo . These tools provide features like. Read More:  https://www.wisdomplexus.com/blogs/elements-business-intelligence-solution/