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How to Get the Non-Technical People in Your Office Excited About Analytics

December 20, 2016

By Sherice Jacob

Analytics. Data science. Words and phrases like these tend to conjure up imagery of guys in thick glasses poring over stacks of spreadsheets with the smell of stale coffee permeating the office. But today’s data and analytics teams couldn’t be farther from the caricatures that we make of them. And the truth is, when you discover just what’s possible, it can be hard not to be excited about it!

So how do you get even the biggest technology trilobite in your office to not only embrace analytics, but share in your enthusiasm? Here are a few ways to make the whole idea of data science a lot more tempting.

Understand the Underlying Problems – Then Solve Them

Companies in nearly every sector, from B2B to B2C to B2B2C and everything in between has their reasons – good reasons – for wanting to keep their heads in the sand when it comes to analytics. Sales teams often don’t see the revenue needle budge enough to make it worth their attention.

Managers are busy managing and don’t have the time to trudge up a high learning curve, much less understand the data enough to make confident decisions using it. And even key decision makers are slow to adopt a culture of analytics because the protocols for decision-making are…you guessed it, made by committee.

The fact is, no field is changing or adapting faster than data science, and, much in the same way that the Internet revolutionized the way we communicate and do business, analytics are changing the way we make decisions, engage customers, develop products and much more. It’s as much an integral part of a successful business as having a commerce-enabled website was over a decade ago.

That means that yes, some jobs may have to be redesigned, some outdated protocols overhauled and some focuses shifted to accommodate the rapid growth of analytics.

Companies that embrace this chameleon-like adaptation are the ones who truly leverage the greatest benefits from data science and analytics. Those who fail to see its potential will continue to struggle as their competitors gain greater and greater data-backed insights.

In short, it’s uncomfortable but necessary to change.

Embracing the Democratization of Data

One of the biggest terms making the rounds in the data science world is the “democratization” of data. In other words, taking it out of the hands of the analytics geeks and putting it squarely in the hands of everyone from executives to managers to customer service and even the janitorial staff (okay, maybe not that last one). New tools and SaaS platforms are being developed and deployed faster than ever, and today’s data scientists can use visualization tools to map out different scenarios. Things like predictive analytics show everyone models of what can happen with the current data they’ve collected, so that new campaigns, new product ideas and overall business growth can happen in a way that’s both impactful and scalable.

And did I mention that all of this can be done without a single line of code?

But before you think I’m throwing …read more

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