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Have you wondered why you are getting a very low engagement on your Facebook posts?  Here are nine common reasons that result in low Facebook post engagement and tips on how to fix them. You are posting on wrong day and time – You should time your posts according to your audience’s (fans/targets) most active time on social media. If you are posting your messages when majority of your audience is not active then you are not achieving the maximum benefit from your posts. Below is an infograph that is based on analysis conducted by Bridge.com ,  which provides general information about the best time for Facebook posts. However, rather than blindly accepting these suggestions, you should use your own data to figure out the best day and time to posts. There are several tools that will allow you to see when your audience is most active. For example, simply Measured provides you stats such as “Top Day For Comments” and “Top Time For Comments”. You are posting too many ...

Colors can add to your data visualization and make the story stand out or they can distract the audience from the main message. It all depends on what colors you chose and how you use them. In this post, I am listing three things to keep in mind when creating your next data visualization. I am not guiding you specifically on what colors (hue, value and chroma) to use but three things to keep in mind when selecting the colors: Use conventional colors :  Generally red color means negative or a bad value and green means positive or a good value.  Choosing the default colors as presented by your visualization tool might not convey this meaning in all the cases.  Say, for example in Tableau, when you choose the default “Red-Green Diverging” color from the pallet, the red represents the smallest number while green represents the largest number, and it changes from red to green for the values in between. This generally works fine.  Where this becomes an issue i...

We all know that wrong data leads to wrong analysis and hence can cost a lot of money.   In this post I am highlighting 5 issues that lead to wrong data and hence wrong analysis.  Make sure you take care of these issues before spending any time on analyzing and putting your presentation together. Manual entry by end users – When you rely on the end users/customer to enter the data in the free form you will get lot of variations of the data. For example, when you ask them to enter the city, you can get variations such as Redmond, Redmond WA.  Redmond (Seattle), Remond etc.  Doing any analysis on the city level will pose an issues since you have several variation of the same city. Unless you have thoroughly cleaned and accounted for every possible variation you will not have the right analysis. In order to avoid such issues, wherever possible provide the choices via drop down or auto-fill rather than letting users type in the answers. Manual entry b...