'Big Data' is already here.
Over the past few years, businesses have been able to put in place
massive ERP systems, storage devices and data warehouses. In the process they have spend billions of
dollars. On top of this, they have spent
extra millions by putting in place ‘Business Intelligence’ systems to tell
Managers what has happened in the past.
So today, a Manager can see exactly which Customer has spent how much,
on what date, at which store and on what Product. Essentially Business Reporting.
Which brings us to the next stage in the information
continuum – now that we have all this data and know what has happened, what do
we do next? How can we leverage this
data to influence consumer behavior, to manage growth, to predict the future,
to optimize strategy, to take actions in almost real-time, etc in a
forward-looking fashion.
In effect, to go from the ‘what’ to the ‘who-why-when-where’. And in the process become smarter about business
decisioning.
“Real-time Customer-level Decisioning” will become
increasingly important. Real-time
because you want to act on fresh information in the most expedient manner; lest your competition take advantage. And Customer-level because each Consumer in
unique and wants to be treated uniquely.
Technologies exist today that can deliver on the promise of both. We have algorithmic trading where actions are
taken in milliseconds. And we have predictive
analytics that can deliver on customer-level decisions.
Unfortunately, most typical businesses are not there
yet. For Consumer-focused companies, “Analytical
CRM” is the next phase in the evolution of big data, and will be increasingly
leveraged by them to manage their competitive positioning. The “Information” in the IT revolution will
then become a reality.
Analytical CRM can help a business increase revenues by helping
design the right products; by identifying those customers most likely to buy a
particular product/service, and getting their product to them before the competition
acts; by increasing Customers
engagement with their Brand by having them buy more of that Product or by
cross-selling their other products. It
can also help them optimize expenses by managing advertisement, marketing and
operational expenses in the most efficient manner.
Big data is yesterday’s news. Now let’s leverage this data for business
optimization.

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