Data Management - The social world is a vast multiplier of data

Photo credit - Michel Vuijlsteke's
In this world of disparate data sources it is now more important than ever before to ensure you have good data architecture/structure and validity.
While the world may currently be obsessed with the adoption and influence of social technologies, their benefits will not as readily realised without a thorough understanding and a strategic plan in place for the management of collated data.
The likes of CRM, e-mail marketing and contact management systems have been a round for some time now, allowing customer service teams to track contacts and relationship developments for their customers.
With the advent of two-way/group communication and web interfaces such as forums, comments, product review sites and now more recently social media products such as Twitter, Facebook et al, the amount of valuable data that a company could be tracking has increased significantly.
More importantly, this data is often far more valuable than the previously recorded data in the likes of CRM's.
Unlike the data recorded in more traditional customer relationship/management platforms, this current breed of data is usually written by the customer themselves. It's direct from the horse's mouth.
There's no need to guess what the customer might desire for your next release, they're actually telling you directly.
If my experience (gained from a decade or more working in enterprise environments as a infrastructure manager) is anything to go by, business units will be embarking on little engagement projects perhaps without thinking about the bigger picture.
Possibly gathering data without consideration of how that could be merged with pre-existing data to provide better insight, or how this specific data could benefit another arm of the business.
The data gathered from all of these sources can add up to provide a real profile of your customers. Amongst other things, allowing you to identify brand advocates to empower your product in this dynamic environment, but also to find customers that are less impressed and might require customer assistance to help with improving their experience of your brand.
It can help you pinpoint minor issues before they develop into major problems. It can provide insight into which products are looking like they might be big hits compared to their less favoured counter products.
A final point, that is a powerful reason for this approach, is that it should significantly reduce the chance of accidental spamming of certain customers by multiple departments using the same contact details without knowledge of their actions.
So what data should we be considering when embarking on this data consolidation?
Well the list is slowly becoming more and more expansive, but items that should be consider are predominantly within the social tools field. This could include Facebook conversations, Twitter streams, LinkedIn conversations and contacts and the often forgotten realm of the blog comment.
There are a number of companies out there that can help you with information monitoring such as this.
These data sources need to be combined with the usual pre-existing data sources such as e-mail marketing databases, CRM's and other customer relationship data sets.
When reviewing your on-line budgets for the year it might be idea to consider the value of this data consolidation project before embarking on your next all singing and dancing website.
Not that I'd want to put you off that as well . . .
Once a data consolidation platform is in place it should provide you with a single source for all of your customer relationship and information. Investing in a development company's time to assist you with this process should be money well spent.
If you need to restrict access to certain elements of the data to certain departments within your organisation, then do this within a single application, ensuring that the validity of your data is preserved.
The data out there about your brand or product has multiplied ten-fold over the last decade in this self-publishing/self-editorial generation.
We should all be making a concerted effort to ensure that we are compiling and reviewing this data to gain the greatest insight into our customers wants and needs.
Related links
Why bother with social media? - Digital Signals http://www.digital-constructions.com/blog/2009/06/why-bother-with-social-media.html
The cost of social media - Digital Signals http://www.digital-constructions.com/blog/2009/04/what-is-cost-of-social-media.html
Sharing content - Extending the value of existing data - Digital Signals http://www.digital-constructions.com/blog/2009/03/sharing-content-extending-value-of.html
Labels: data management, data sharing
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