Update README.md

README.md

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-##Conclusion
+## Conclusion
 
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+After performing the collection, transformation, cleaning, organisation and analysis of the given 13 datasets, we have enough factual evidence to suggest answers to the business-related questions that were asked.
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+We can infer that casual users are more likely to use their bikes for a longer duration of time. Casual users are also more inclined to ride during evening hours of **3:00PM - 7PM** and weekends is when most of the casual users prefer to ride. While user traffic for both groups are highest during the months of summer, the months of winter is when user traffic significantly drops for both user types.
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+In order to design new marketing strategies to better focus on and suit the casual users to help convert them into buying annual memberships, we have to refer to the analysis provided above and keep those facts in mind. The recommendations I would provide to help solve this business-related scenario is shown below.
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+#### Top 3 Recommendations:
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+* Implement advertising more using billboards/posters near the top 20 most popular stations for casual users.
+* Provide a limited discount on annual memberships purchased during the months of lowest traffic to increase rider usage in these months.
+* Start provide free ride minutes for every minute passed after using the bike for 30 minutes, where the free minutes can **ONLY** be redeemed on weekdays to help promote rider usage during weekdays.