According to the data shared by emarketer, we can clearly see that the Traditional Ad market is reaching a saturation state in 5 major economies (US, China, UK, Japan, Germany) while the digital ad market will see steady growth in some economies & explosive growth in US & China…but the market size of traditional ads will still certainly remain much bigger in US while market size of digital ads in china will overtake the traditional ads in 2017.
So to answer the question: Marketers are not decreasing their existing budgets for traditional ad channels but the increased marketing budget dollars seems to be directed to digital ads market.
Very interesting data-set, I encourage you to play with it!
Asset (Volunteers, Field offices & Equipments) management & planning for a global crisis response team.
Working in a team, we created statistical surveys for field works to collect data about current state & estimated future needs. We also helped them with data gathering & cleaning tasks. After that, we helped them analyze & visualize the data to find actions for executives leading the global crisis response team.
Here’s a mockup of one of the ten data visualization created for them:
Profitability equals revenue minus costs – To that end, A supply chain executive is mostly focused on optimizing cost elements to drive profitability. Here’s a mock up of a dashboard created for an executive to help him keep an eye on the overall health while making sure he gets alerted for key cost categories.
The Dashboard was created using profitability data-set & also had drill down capabilities to analyze numbers for cost buckets like Raw materials, manufacturing & logistics.
Take a look at the following chart, do you see any issues with it?
Notice that the month values are shown as “distinct” values instead of shown as a “continuous” values and it misleads the person looking at the chart. Agree? Great! You already know based on your instincts what continuous and discrete values are, it’s just that we will need to label what you already know.
In the example used above, the “Date & Time” shown as a “Sales Date” is a continuous value since you can’t never say the “Exact” time that the event occurred…1/1/2008 22 hours, 15 minutes, 7 seconds, 5 milliseconds…and it goes on…it’s continuous.
But let’s say you wanted to see Number of Units Sold Vs Product Name. now that’s countable, isn’t it? You can say that we sold 150 units of Product X and 250 units of product Y. In this case, Units sold becomes discrete value.
The chart shown above was treating Sales Date as discrete values and hence causing confusion…let’s fix it since now you the difference between continuous and discrete variables:
To develop effective data visualizations, it’s important to understand the data types of your data. In this post, you saw the difference between continuous and discrete variables and their importance in data visualization.
“Corporate BI” has been around for may years. This space has established players like Microsoft, SAP, IBM, Oracle. But in recent times, “Self Service BI” space has been gaining momentum. Players like Qlikview & Tableau that lead the Self Service BI space have been ranked as leaders in the Gartner 2014 magic quadrant. Microsoft has also been making serious advancements in this space since last few years & with their latest offering called “Power BI” they have shown that they putting their bets on Self Service BI space. So, as Microsoft said in the event, they view themselves as the only player that offers a full suite of Corporate BI as well as Self Service BI:
Data cleaning is a major part of any analytic’s/data-visualization undertaking. If data cleaning is ignored then it leads to inaccurate data reporting & thus suboptimal business decisions.
To that end, if you create a Tableau’s Geographic map, please check the accuracy of your data by going to:
Menu Bar > Map > Edit Locations
Let me give you some examples:
Now, I have “states/province” as my geographic role for the variable and when I created a geographic map, I created a geographic map it didn’t show any state for New York State! See Before:
So what did I do?
I navigated to Menu bar > Map > Edit locations:
So I fixed it!
Note that New York State is lighted up!
In the past, I’ve also have entered Latitude & Longitude if need be. This is when it was not able to recognize few US cities and it was saying “ambiguous” – I inputted Latitude & Longitude to clean the data:
In this post, I described how you should check the data accuracy of a Tableau Geographic Map.