If you read or even browse business or tech blogs, you’ve
probably heard that something called “big data” is changing the business world – specifically the big business world. In the past few years Google,
Facebook and other big players have been collecting huge amounts – more than could be managed and analyzed by methods
and tools available until recently. That data flows into their big data stores
and their big analytic systems. It’s
used to create predictive models of consumer behavior based on complex
correlations and other analysis, anything from product and media evaluation to
design feedback about what colors on a webpage header lead to more desirable
clicks. The sheer volume of data
available to major corporate retailers allows them to perform fine-grained scientific
analysis on consumer behavior, including reactions to the fine
details of stimuli. It’s almost a new kind of
psychology, with quantitative methods that statisticians could only dream of until recently.
This is possible because tools like Hadoop and MapReduce have solved the scaling problem for databases, and big businesses are investing to take advantage of the petabytes (1 PB = a quadrillion bytes) that flow in from their heavily marketed products and services. So can small business join the big data party?
This is possible because tools like Hadoop and MapReduce have solved the scaling problem for databases, and big businesses are investing to take advantage of the petabytes (1 PB = a quadrillion bytes) that flow in from their heavily marketed products and services. So can small business join the big data party?
Bad news first: Unless you’re the next Sam Walton or Jeff
Bezos, your small business is never going to have the data volume or
analytic tools (an staffing) for big data research. And while it might be nice to have a ton of detailed
behavioral research on your potential consumers like Walmart does, you probably
don’t spend your days worrying about that or the many other advantages held by big
business economies of scale. Actually, big data is one of the less important
of those advantages.
But the hype around big data reminds us that there is value in data – any data – that
has comes from your business, whether from your customers or your own work
processes. While your small business may not need big analytics, it can easily afford (and probably
already has) good ole fashioned "structured data" – the stuff that
lives in SQL-based systems from MySQL and Oracle to desktop apps like MS Access
and FileMaker. The question is, are you
using those tools to their full potential?
There are obvious benefits in time-savings, error reduction and
other efficiencies to be gained by creating and using structured data for
reporting snapshots of what’s happening, and as a guidance system to automate
or direct activities like order fulfillment, complaint tracking, or sales
contacts. In fact, there's really no other way to stay on top of business processes.
But the benefit is too often forfeited by small businesses in some aspects of their business. Most everyone keeps sales stats, and probably website hits and ROI on advertising, but what about fulfillment, complaints, supply lines, time-in-process for all of the above? Any data point in your system
can become a criteria group with counts, sums and averages, compared against
other criteria and used to identify success and problem areas.
Small businesses should have software that lets them look at
any shared data point and group by values. A small business owner should
be able to see at a glance where data falls by location, by manager, by product.
Is one team leader having more than her share of delays? What’s your average return
rate based on time of day shipped and shipping manager? What
about the next thing you haven’t thought of yet? With a good database app, you decide what to analyze. Don't forget what the databases can do for you.
At Step One we can
help you set up all the "buckets" you need, and you can modify them
as needed. And our flexible reporting tool will let you group by any non-unique
criteria in your database and apply any filter.
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