What were the highest-grossing days of the last two years? How many productive hours do my employees work? Which project is currently the most economically effective? ... how great would it be to be able to answer these and other questions quickly and based on data — preferably with a clear dashboard.
But as most people often know from experience, presenting data only accounts for 20 percent of the work — however, preparation and preparation, i.e. the necessary structuring before the actual analysis can begin, is much more complex. This alone usually takes around 80 percent of the time. There are advanced technologies to speed up exactly this work — so that analyses are not just reserved for data experts and significantly more employees can work based on data and make more sustainable decisions. When artificial intelligence and machine learning meet data analyses, there is talk of augmented analytics.
... on the missing kick-off.
Anyone who needs an entire IT department to be able to initiate data analyses in the first place will probably throw in the towel, because — if there is one at all — this is usually busy.
If a project is nevertheless to be feasible, only the “most necessary questions” are therefore often answered — but unfortunately at the same time, a significant added value of (visual) analytics is lost. Because it is precisely the networked analysis of data that leads to new hypotheses and insights that can provide decisive advantages for companies or organizations.
Specifically, there are three components — data preparation, data analysis and data communication. Machine learning and natural language processing want to simplify these processes and bring them closer to users. The opinion research institute Gartner has been conjuring up the trend towards AI-based data analysis since 2017 and says, for example, “augmented analytics is changing and democratizing how entrepreneurs discover, analyze and handle data [...] . ”
Lots of different data sources and no idea where to start? Tableau Prep consists of two products and provides an overview and assistance with preparation. The data is easy to combine, clean and structure. The so-called Tableau Prep Builder helps to build data schemas, the Tableau Prep Conductor helps you execute the schemes and always keeps the data up to date. If you then want to know more about your data, simply ask. With Ask Data Natural language is used to get answers in the form of insightful visualizations. When it comes to understanding specific data or irregularities, then delivers Explain Data interactive and understandable explanations with the help of AI.
#Tableau #BusinessIntelligence #Datavisualistaion #UseDataToLead #AskData #ExplainData #AugmentedAnalytics
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