Interesting question. It depends on the questions you want to answer about yourself. What are your goals and objectives for the year - and how can this data boost your ability to accomplish them, for example. Where do you want to gain a better understanding about yourself so you can achieve better outcomes?
In terms of analyzing the data, @IsaacGerg talks about one such approach - you define a structure to host the data in a spreadsheet and then start analyzing it to draw new insights.
In this case, I suggest a structure that includes "dimensions" and "measures". Example dimensions include time, geography, people, weather. The key is to identify a set of core dimensions that apply to all your datasets. These core dimensions will serve as the point of integration when analyzing otherwise disparate data.
Besides the spreadsheet, another idea is to use a natural language processing API, such as this one from IBM Watson to automatically extract keywords and sentiment from your social media activity. An example of what you can do here is to correlate heartrate (from fitbit) with keyword sentiment (from social media) over time.