White Paper

Delivering Actionable Customer Intelligence
Synopsis
Business intelligence and Analytics are playing an increasingly pivotal role in decision making, as organizations realize the true value of information and how it can affect the bottom line. The majority of successful organizations will employ business analysis staff to ensure that the data they get is properly interpreted to help support business-critical choices and strategies. By making use of the swathes of data available about any number of metrics within a company, clear and relevant insight into issues can be translated into more effective decisions and outcomes, based on verifiable knowledge. But these decisions often need to be taken quickly, across multiple departments and divisions, and this need for agility is only going to increase. Customers are only one half of the key to the survival and eventual prosperity of any business, and so it is to the data they provide which organizations must turn if they are to uncover the key themes which require immediate action. Genuinely actionable customer intelligence is the other side of the equation – information which metaphorically ‘gathers dust on a shelf’ is completely pointless. Gathering data must be done in conjunction with a proper strategy for analysis in mind, otherwise it simply becomes a number-gathering exercise in futility. In this paper, we look at the opportunities and limitations offered by current models of data analysis, and how adopting a strategy of combining both statistical and contextual analysis can provide the extra edge needed in an environment where decisions must be made quickly. READ ON...

Teneo Insight

Delivering Actionable Customer Intelligence

Size matters
This is the accepted wisdom. Bigger is better. Go Large. Supersize it. Having a large dataset can undoubtedly provide solid information, and we can