Are you enlisting the help of an outsourced data scientist to tackle big data at your organization? Are you training...
in-house employees to put on their data analyst hat? In SearchCIO's big-data-themed tweet jam on March 27, we asked participants to weigh in:
— SearchCIO.com (@searchCIO) March 27, 2013
According to tweet jam participants, both outsourcing and insourcing are valuable when it comes to big data analytics on an enterprise scale:
A3: Both! If someone wants to move up -- great, but if you don't have someone, you do need someone who can be a lead #CIOChat— JBA International (@JBAPeople) March 27, 2013
A3. A blended model works well with internal knowing how to benefit the biz, extended team can help with critical initiative. #CIOChat— Stephen Shelton (@sdsdev) March 27, 2013
A3 Yes!Likely need both.If it will be a critical capability, you need internal talent, but get started now with external help. #CIOChat— Charles Caldwell (@CCaldwellLogi) March 27, 2013
A3. yes and yes.In-house talent is a must to ensure result is specific to the needs of the company (vertical, segment, etc.) #CIOChat— Michael Gerard (@michaelgerard) March 27, 2013
Outsourcing data analysis can spearhead big data analytics efforts while increasing available resources and helping IT teams gain new perspectives on the value of their data. On the flip side, in-house talent development might be less-expensive -- in theory, who knows your data better than your current employees? Our tweet jammers sounded off on the pros and cons of developing data analysis skills internally:
A3 Given the competition for hiring quality data scientists, it seems smart to focus on home grown. SMBs, though, should outsource. #ciochat— Wendy Schuchart (@wendyschuchart) March 27, 2013
Time restrictions, hiring resources and launch costs are factors in a CIO's decision for one data analysis solution over another, but there are other considerations. For example, tweet jam participants advise organizations to take into account company size, industry and company-needs when researching a data analysis solution:
A3 It really depends upon your industry and in-house talent. Tech-savvy company? Definitely in-house. Florist? Probably not. #ciochat— SearchCIO-Midmarket (@CIOMidmarket) March 27, 2013
Our tweet jam participants all agree on one thing: There's no simple answer. Whether your organization chooses to nurture in-house data analyst talent or outsource for data scientist skills depends on the advantages that are important to your individual situation.
Read what SearchCIO.com tweet jam participants had to say about the big data analytics dilemma by searching the #CIOChat hashtag on Twitter. Follow the rest of our big data conversation at: Is analysis of data worth your IT staff's time? ... Data interpretation and visualization techniques add business value.
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