1. How well do you measure the effectiveness of social media?
The analytic technologies today will better manage social media and big data growth. Organizations can save more
time to focus on innovation, strategy and other growth areas. Companies providing the right analytics tools and
its information that enable them to do so. "CIO should go beyond this. Sub-divide and also be able to rapidly sub-
divide. Senior managers can become change catalysts and see how it evolves with these initiatives."
The CPM (cost per thousand) metric is a mainstay of advertising, and the idea is that you break out the total cost of
an advertising campaign against the total potential reach, and then calculate how much it cost you to reach every
thousand people. While there are some holes within that metric, it’s one many executives still turn to, so it can be
one weapon in your arsenal if you’re trying to prove the value or efficiency of outreach in a social media aspect.
It can also be difficult to understand the value of having a Facebook page, or of using Twitter in the first place.
Managing and monitoring posts and interactions can be easy, especially if the business gives that specific job to
an employee. There are tools to help provide a picture of social performance by indicating what topics are hot
and which ones are not. As the results are analyzed and "digested," the strategy can be adjusted to generate more
customer interaction.
When there are large amounts of data being generated through loyalty programs measurement in analytics can be
complex. To overcome big data challenges a common approach is testing several specific experiments. Whether
its data from customer feedback to optimization related data, asking the right questions and acting as the problem
solver can resolve issues.
Make sure to measure correctly. Identifying "false data", errors in measuring analytics and the type of erratic
patterns found are better than no identifying erratic patterns at all. The right products or services have to derive
return on investment and improve the overall automation process, data mining capabilities. Today we are able to
learn more of the customer than ever before. How to use the data and appropriately is crucial.