Generally, social media is defined as a set of internet technologies that allow
users to generate and share content, collaborate, exchange ideas and
form community with shared or opposing interests.
Social media can be good or bad.
So many clients think there is so much to find, but
there is a lot of noise in social media.
So how do you extract that signal from the noise?
It's important to look at data collected from social media platforms,
along with all other relevant datasets.
Social media is a powerful platform but it's one that many organizations
are chasing, and don't have a sound social media or overall integrated data strategy.
When you think about data and analytics,
you need to think about the social media strategy in the organization.
What can someone bring from a social perspective?
Being able to challenge how social media is being used, and
if it's going to be used from an analytics perspective.
Whatever social media data an organization is trying to use, it's very important that
you tie it to other relevant data sets to validate findings and
ensure the accuracy of what you are projecting.
We've seen our organizations misuse data from social media and
not tie it back to other data assets that they have into the analytics and
models that they are building.
When used properly, data and analytics can change how organizations operate,
allowing them to become more efficient and
have greater impact on their bottom line and most importantly, their customers.