A “social search” is that puts search queries into a social context. With social search, each searcher sees unique results that are shaped by the characteristics of his social network friends including interested, posts, likes, and more.
There is a continuously and rapidly increasing amount of social data that is commonly known as User Generated Content (UGC). UGC, if indexed and searched, provides valuable information to the searcher including up-to-date, highly relevant, personalized information about topics being searched.
Now search engines have an additional source for external citations including links shared on social sites such as Facebook, Twitter, FriendFeed and Google+.
This research evaluates Google and Microsoft in social search including a comparative analysis and SWOT analysis for the two companies in social.
- Social media companies
- Mobile network operators
- Mobile and online portal companies
- Mobile and online marketing companies
- Google, Microsoft and their competitors
Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.
We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.
In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.
We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.
We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.
Step 1 - Forecasts Input:
The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.
Step 2 - Forecasting of Future Years:
Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.
Step 3 - Validation of Data:
The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.