{"id":1093,"date":"2018-04-23T09:32:24","date_gmt":"2018-04-23T09:32:24","guid":{"rendered":"https:\/\/www.sysbunny.com\/blog\/?p=1093"},"modified":"2021-05-09T11:40:33","modified_gmt":"2021-05-09T06:10:33","slug":"role-of-business-intelligence-mobile-app-development-in-improving-businesses","status":"publish","type":"post","link":"https:\/\/www.sysbunny.com\/blog\/role-of-business-intelligence-mobile-app-development-in-improving-businesses\/","title":{"rendered":"Role of Business Intelligence Mobile App Development in Improving Businesses"},"content":{"rendered":"With the emergence of AI and allied technologies, BI or Business Intelligence has got a tremendous boost, and mobile applications have added more flavors. A proper understanding of the BI system and where to leverage it by incorporating it into your mobile app strategy can help your business gain a competitive edge.<\/span>\n

Introduction:<\/span><\/h4>\nMobiles have disrupted several facets of our day-to-day as well as our professional life. SMBs are looking for an appropriate mobile strategy and integrating upcoming technologies with mobile applications to stay competitive and thrive to grow more.\u00a0<\/span>Mobile app development companies<\/a> and app developers<\/span>\u00a0have explained the strategy of business intelligence to developing great mobile BI apps.<\/span>\n

The emergence of Mobile Business Intelligence<\/span><\/h3>\nBusiness Intelligence, or BI, in short, is an ultimately effective technology that can change the scenario of business with its immediate advantages. In the last decade, the world has observed rapid growth of the Internet and high penetration of mobile devices among the world’s population.<\/span>\n

Role of Cloud Computing<\/span><\/h4>\nThe advancement of cloud technologies has provided a solid platform to collect and store massive data from various computing devices, including billions of numbers of mobile devices.<\/span>\n

Role of AI & Big Data<\/span><\/h4>\nAfter the cloud, the next thing was Big Data phenomena and AI (Artificial Intelligent<\/a>) related technology burst like ML (Machine Learning), NLP (Natural Language Processing), Cognitive Intelligence, and Voice Recognition systems.<\/span>\n

Role of IoT Application<\/span><\/h4>\nNow, the platform was ready to sustain IoT applications, and mobiles were at the center of IoT monitoring and controls. IoT has captured a significant portion of professional applications besides the personal. IoT and M2M technologies are going hand-to-hand in data generation, which has an immediate implementation in business and general operations to make a home, city, and workplaces bright.<\/span>\n\nIn short, AI and allied technologies have boosted data generation tremendously, and Big Data phenomena have given birth to NoSQL-like databases and the eruption of various data analytics to support\u00a0<\/span>Business Intelligence<\/span><\/a>\u00a0in meaningful ways.<\/span>\n\n\"\"\n

What is Business Intelligence (BI)?<\/h3>\n
BI Turns Raw Data into Palatable Information.<\/blockquote>\nAs its name suggests, it makes business and its processes intelligent by using the latest software technologies and algorithms to run an analysis of business-related data to provide descriptive analytics and insights to make strategic and tactical business decisions.<\/span>\n\nHowever, the existence of BI was before the emergence of mobiles and mobile apps. BI applications were existing on the web, and web applications accessible to desktops and laptops of business executives.<\/span>\n\nThe modern digital tools like visualization, tabulated presentation, graphical displays, and interactive maps enable BI software to make BI data more comprehensive and interactive to draw fruitful conclusions and create effective business strategies.<\/span>\n\nThe emergence of mobile applications has shifted BI applications from traditional big screens to tiny screens of mobile, and mobility benefits have added more spices to make it tastier! Of course, more prevalent and valuable than ever.<\/span>\n

Difference between AI and BI<\/span><\/h4>\nUnlike AI, BI is only present \u2018what was\u2019 and \u2018what is,\u2019 but never tell you \u2018what to do\u2019 or help you infer decisions automatically and start taking actions. It is still in the hands of human intelligence, and business executives have to take those responsibilities.<\/span>\n

Difference between (BI) Business Intelligence and (BA) Business Analytics<\/span><\/h4>\nSimilarly, people confuse with BI and BA due to their similar nature and functions. However, BI is describing \u2018what is happening\u2019 by accumulating data and explicitly use it to paint the overall picture beautifully and comprehensively.<\/span>\n

Business Intelligence Process<\/span><\/h3>\nTechnically BI process consists of the following steps from bottom to top.<\/span>\n\n\"\"\n