@deepak-most enterprises dont have relavant levels of expertise in-house so they have to go outside the Company,but how do you manage to handle issues which arise where people within enterprise dont feel too enthusiastic abt these changes?
Best way to get into analytics.. I would say start with some great books out there.. Like competing on analytics.. Or Decision Management by James Taylor.. Also, most universities are now starting programs in analytics.. Just announced a program at Michigan State 2 weeks ago.. demand will remain very healthy for analytic skills..
Center of Excellence- most companies will start with business intelligence, and then add things like planning and advanced analytics.. Key is to have a centralized pool of skills/resources, but also a private cloud like set up where people can have access to the tools in shared utility mode.. Best way to drive enterprise wide deployment of analytics.
I think of filtering is taking a subset of your data that is more relevant to the analytic problem.. Cleansing is about getting rid of the noise, and also integrating different data sources.. You'd be surprised at how many companies have the same customer listed as 2 different people in 2 different databases (J. Smith and John R Smith).. Integrating all that data so you have a single version of the truth is critical, else analytics becomes garbage in garbage out
Okay.. Great question on how to know which data to look for.. How to ask the right question.. Unfortunately I don't have a simple answer.. IT comes down to the business problem (always need to start with that).. Then think of which data sources will have meaningful data.. You can always start with the structured data that you have in your DB.. But the real value comes from tapping into other data sources like call center records, email, etc.. Key is to pick a problem.. Start with one data set and expand
Here's a question which ddram posed earlier: One of the difficulties I have faced with various departments in my company is to get them to ask the right questions that is descriptive enough so that the raw data can be churned into some info. Your thoughts?
One of the difficulties I have faced with various departments in my company is to get them to ask the right questions that is descriptive enough so that the raw data can be churned into some info. Your thoughts?
@Deepak -- a lot of the data collection techniques discount some consumer segments -- older people, and non-native speakers are less likely to participate in websites, email/chat transcripts. Young, online-savvy individuals appear to have a louder presence in the data. Do you filter or normalize for this ... or do you just consider the groups you gather data on the more likely consumers?
our company is consumer friendly because after all foundation for successful business is customer always right. companies who don't subscribe go bankrupt and are gone like borders. companies like walmart think they can give customers a hard time, but they are leaving too
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