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  • PART 2: Big Data 101 for PR


    3.5 min to read by Ryan Rapp
    Published on December 1, 2015

    We know, we know…sequels so rarely live up to the hype of originals, but I can assure you this part duex is guaranteed to deliver as much punch and pizzazz as what came before.

    A few weeks ago my colleague and engineering partner-in-crime, Frank Jing, knocked it out of the park with his succinct and astute overview of Big Data and its role in PR (Part 1). 

    Not only did he touch on what Big Data is and why PR peeps should care about it, he also provided insights into how to think about this phenomenon and three reasons to embrace Big Data now.

    Whadda guy!

    As someone who lives and breathes Big Data on a daily basis (no seriously, I’m currently surrounded), I want to take one step further and provide some actionable ways you can harness the power of Big Data.

    Once you are fixed on the Big Data idea and nailed all the basics, it’s time to identify the challenges or problems you wish to solve and how best to solve them.

    Here are 7 of my suggestions:

    1. List all your current frustrations plaguing your work. There’s a good chance Big Data can solve quite a few!big-data-101-for-PR

    2. Get familiar with the most common terminologies of Big Data. Look up things like predictive modeling, natural language processing, data mining, databases, etc. Treat these words like medical jargons. You don’t have to know them inside and out, but it’s better to know *of* them when your doctor err…engineer…starts using them.

    3. Make it a point to regularly talk with your tech people, but be patient. The language barrier may be high at first, and the same word can (and often does) mean different things in different circumstances, but good data people will be able to translate. Use their expertise to your advantage!

    4. Decide if your Big Data strategy will be DIY or if outside help is required. Big Data means big decisions. The expenses of buying equipment, managing databases, integrating with existing systems, and doing automated analysis can be significant up front. Luckily, there are more and more companies providing customized solutions for Big Data, but it’s worth considering if you have the resources in house to get you up and running in the interim.

    5. Start collecting data NOW! This is an “act first, ask questions later” kind of mindset. Yes, yes, it is crucial to develop a robust strategy for collecting, structuring, and storing data. But big data is an iterative process that begins with collecting data. It’ll be much easier to refine your collection and storage strategy as you go. Besides, storage is cheap and you can always discard what you don’t need.

    6. Figure out what your data is telling you. Obviously, having the data is only half the story. Deriving insights and weaving those into your storytelling is also paramount. I suggest sitting with a data-minded individual and talking through your hypotheses. Starting with postulations can often be the easiest jumping off point to affirm or debunk your subjective hunches.

    7. Keep up with what’s happening in the advancement of technology. The tides change fast, so be sure you know how to surf ‘em. Pick 1-2 tech focused publications and make it a point to do a monthly or bi-weekly deep dive into their coverage so you stay in the know.

    Perhaps most importantly, believe in the power of data-driven decisions. It won’t replace experience and it’s no substitute for human capital or emotional intelligence, but like a great sequel, it can deliver unique insights and give you a fresh new perspective.

    Here’s to the power of Big Data!

    Join the conversation!