When facing a new things, how do we analyse its impact to our BI practice? What...

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When facing a new things, how do we analyse its impact to our BIpractice? What kind of challenges and issues the newtrends/developments in BI present in terms of Business intelligenceand society at large.

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Over the past decade businessintelligence has been revolutionized Data exploded and becamebig We all gained access to the cloud Spreadsheets finally took abackseat to actionable and insightful data visualizations andinteractive business dashboards The rise of selfservice analyticsdemocratized the data product chain Suddenly advanced analyticswasnt just for the analysts2017 was a particularly major yearfor the business intelligence industry The trends we presentedlast year will continue to play out through 2018 But the BIlandscape is evolving and the future of business intelligence isplayed now with emerging trends to keep an eye on In 2018business intelligence strategies will become increasinglycustomized Businesses of all sizes are no longer askingif they need increased access to business intelligenceanalytics but what is the best BI solution for theirspecific business Companies are no longer wondering if datavisualizations improve analyses but what is the best way to telleach data story 2018 will be the year of data quality managementand embedded BI tools clean and secure data combined with simpleand powerful presentation It will also be a year of multicloudstrategies and artificial intelligence We are excited to see whatthis new year will bring Read on to see our top 10 businessintelligence trends for 2018Exclusive Bonus Content Get our 2018 BI Trendshandbook for freeShare these 10 key business intelligence trends to your team1 Artificial IntelligenceThis is the trend number 1 chosenby Gartner in their 2018 Strategic Technology Trends report and isalso the top list of our business intelligence trends Artificialintelligence AI is the science aiming to make machines executewhat is usually done by complex human intelligence Often seen asthe highest foe friend of the human race in movies Skynetin Terminator The Machines of Matrix or the MasterControl Program of Tron AI is not yet on the verge todestroy us in spite the legit warnings of some reputed scientistsand techentrepreneursWhile we work on programs to avoidsuch inconvenience AI and machine learning are revolutionizing theway we interact with our analytics and data managementWe are evolving from static passivereports of things that have already happened to proactive analyticswith live dashboards helping businesses to see what is happening atevery second and give alerts when something is not how it shouldbe Our solution at datapine includes an AI algorithm based on themost advanced neural networks providing a high accuracy in anomalydetection as it learns from historical trends and patterns Thatway any unexpected event will be notified and will send you analert We have also developed during this past year 2017 a newfeature called Insights also AIbased that fully analyzes yourdataset automatically without needing an effort on your end Yousimply choose the data source you want to analyze and thecolumnvariable for instance Revenue that our decision supportsystem software should focus on Then calculations will be run andcome back to you with growthtrendsforecast value driver keysegments correlations anomalies and a what if analysis That isan incredible time gain as what is usually handled by a datascientist will be performed by a tool providing every businessusers with access to highquality insights and a betterunderstanding of their information even without a strong ITbackgroundThe demand for realtime dataanalysis tools is increasing and the arrival of the IoT Internetof Things is also bringing an uncountable amount of data whichwill promote the statistics analysis and management at the top ofthe priorities list However businesses today want to go furtherand predictive analytics is another trend to be closely monitoredas we have seen above Gartner predicts that more than half of alllarge organizations worldwide will use advanced analytics andalgorithms built on them to be more competitive by 2018 AI will beat the heart of those algorithms that understand the data and canpredict what is upcoming and its deep learning will probably makethe machines operate autonomously and take decision in the place ofa real person Such a change would mightily transformdecisionmaking and managers will need to know how algorithms reachtheir conclusion and eventually adjust Businesses will also haveto decide whether semi automated decisionmaking should be in thehands of algorithms or not2 Predictive and Prescriptive Analytics ToolsBusiness analytics of tomorrow isfocused on the future and tries to answer the questions what See Answer

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