Many companies, organizations and individuals are to make big data definition, data are considered large mass-level data, not a commonly used tool can quickly be managed and processed, it needs to go through reprocessing to be used, have decision-making power, has strong uncontrollable. But it is the mobility of data, various types of rapid change and massive nature of these features make it only the results of the analysis more objective rather than subjective.
When there is high-quality data is the foundation, how to create magnificent buildings still have need insight. When we make reports, visualization, we often see a phenomenon, if only to give the user a list of the information, the user can not find where the problem was, was presented content is worthless, only to convert it into line power will only be user attention. Therefore, our goal is not to generate reports, but to provide insight to help users make a decision to take action. If a report does not cause the user to do something, it would not have much value. As long as you want them to do something, which take some time to think about how these insights is reflected in our report. This is why people prefer "smart" instead of the word "information", how much faster the data into insight and data into intelligence operations will become our ultimate goal. That Power BI in this process has played what role did:
· leading data culture
on Power BI you already know how the data is to play in a shorter period of time resulting in a unified view, and do more with less, so you can assure decisions when needed provide valuable business insight. At this point you do not have to stop. Microsoft CEO Satir comes to using data to change the business culture, he said, "Every organization, every team and everyone has the ability to do great things, because the data at your fingertips." You can help your colleagues , your boss people around and put data into information, business insight, make decisions based on what is happening now, to take action, even going to happen to make reliable predictions.
Dissemination value
we always try to publish reports substantive, but in the end of the day we want to receive the results. If sales increased, which products best performance of the day? We can split the data by location and you? New data? A good report can tell stories, better reporting so that people have the ability to quickly see and search out an outlier and statistical analysis. Does not require deep technical knowledge, can help users find correlations, trends, outliers and other opinion, this is achieved through self-service BI.
This week's story is the source of our business colleagues in a soccer-loving dashboard made. In his telling, football game down, player performance is good or bad, will directly affect the outcome of the race, while a down season will affect the revenue of the club, but also can reflect the quality of the operational status of a club If a down season overall mediocre players, I believe that direct investment club sponsors and ticket sales impact of competition, because nobody likes to see their team always lose.
So why annual League club good ending will always get a good ranking, that is because they always get high contract sponsors, ticket sales high attendance, and of course the players jersey sales, etc. peripheral products, With these revenues after the club can start to pay high salaries to the players, improve competition and training facilities to retain players and a good coach. Good coach is to protect the game and the players will be victorious. After the game can reflect what the problem is, then we take a look at the data for the importance of the club to see if we can not find any problems with this football report.
We now see this report are 2016-- show case 2017 Spanish Football League throughout the season each branch of the club. Report is divided into four, the contrast between the club, the contrast between the player and club database to show the players to show the database.
In the club the data page (Figure I), can choose the time, choose to see the league standings Club, shooting, passing, and steals information. Cooler is that you can see the bottom right corner is still the club's lineup. By Xiao Bian page like this white football can quickly understand the history of each club's league performance, can be considered get a new skill, and added a small partners of the conversation. 
Figure I
Players in the data page (Figure II) may need to query search out the name of the player, the page will show the photo player, jersey number, game players running routes and nationality. For players to quickly understand information provides convenience. 
Figure II
can choose from two different clubs club page (Figure 3), according to the defense, shooting, passing, body, speed comparison of several points of view of the club. 
Figure III
in the players page (Figure IV), radar chart you can see the players in this club, and quickly understand each player's strengths by screening the club, and can choose other team members by contrast, see a play in the same position the different characteristics of the two players. 
Figure IV
For businesses, the challenges and the value of big data exist, if we can make good use of this tool, the value of big data is visible and tangible. Explore the potential business value of big data by the method of data analysis has important significance and practical value. I hope you can provide more social value through data analysis dashboard.