Data just for the sake of it wouldn’t make a difference in your organization’s bottom line. If it does, it would be in the negative (Cost of accumulating and storing such data). Painfully, many organizations are still stuck at that point: Gathering and storing data. How can you turn it into cash?

Luke McCormack (APAC Vice President for Pegasystems), gives clues in an article at businessspectator.com.au…

1. The use of “adaptive, self-learning predictive models” helps remove the difficulty usually associated with arriving at actionable insight from Big Data. These models are actually able to learn faster as more data is fed in.

2. By leveraging decision making with Big Data analytics (and empowering members of staff that deal with customers) an organization is better positioned to offer its clients superior service while maximizing profit.

Read the rest here.

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