Header block

LPJM Solutions,  LLC  BLOG

add Row
add block
posts
Row 1
7 Minutes Read

5 Easy Steps to Analyze Big Data


I wrote this article to help people understand our agency's process to analyze big data in finding the exact audience our client's would like to serve and build their digital ads campaigns.

When in 2013 Netflix shared their House of Cards investment information, we were all-- well, let us just say-- alarmed. $100 million, Kevin Spacey, and David Fincher created to squander on a TV series? Oh, come on! As it ends up, that made more sense than some of us might have reflected then. Why?

It is no mishap that this specific show changed the course of TV industry. They did their homework and evaluated data properly. Although the most recent season did not get such a warm welcome, it was a game changer for Netflix. The brand name even became a proprietary eponym (as in #netflixandchill) which implies it has ended up being a commonly used generic name for all comparable platforms.

In the marketing world, that is substantial.



Discovering what truly matters

The distinction in between pre-Netflix and post-Netflix times lies in what the audiences needs. They became the ones who have finally dealt with the existing requirements of Millennials. And they did it right. However, they did not do it the old-fashioned way-- asking a lot of teenagers about some likes and dislikes. What they do every day, is collecting and evaluating quite a remarkable quantity of website occasions data, such as the number of people saw or paused and rewind each program, what else they enjoyed, and when. They collect information to reason about the possibility of the success of upcoming motion pictures and shows. And their data-driven technique pays off. Your House of Cards $100 million dollar financial investment was made back in about 3 months and obviously, they have much better overall ROI on their programs than any other entertainment studio, as only 30% of their original programs get canceled after the very first season.




2D analyze big data development

According to commonly estimated IDC report, by the year 2020, there will be 44 zettabytes of information generated all over the world. And it grows significantly as the capability to control information ends up being a growing number of mobile. Not to use opportunities that come along, would not be sensible when nearly every CEO has the words "Big Data" written their white boards with a permanent marker. The technique is to analyze big data and utilize it skillfully.

From what I gather, the advancement of the web and brand-new innovations enters two measurements. One being the-- mentioned above-- severe quantities of uploaded data. The other comes as a natural repercussion. It is the need for quality. We no longer get delighted about the quantity of Facebook fans. We want them to be engaged and loyal. Even outdoor marketing, which was always known to aim at the largest target, is starting to localize.


Considering that we have passed the quality to analyze big data information hype and are now facing the skeptical stage, what we need to do, is remain concentrated on how to maximize this pattern. Not to stay behind but do not fall for it blindly either.

How to approach and analyze big data to acquire genuinely appropriate insights?

The best way to put these oceans of information to excellent use in business is to analyze big data. Some business reach to work with correct information analysts. Which apparently is not a breeze, despite the fact that you can quickly discover big data analyze courses online. Nevertheless, taking a couple of online classes is not enough to end up being a professional analyzer of big data. Even if you do not have a strategy to expand on a big data analyze scale, what you do need for sure-- according to Bob Gourley, the author of Data Divination: Big Data Strategies-- is a method.


Having gone to completion of the internets for pointers and techniques, I dare to propose these 5 simple steps in how to analyze big data.

1. Divide up

Custom-made audiences have actually ended up being a very hot subject recently. You need to customize e-mail campaigns, up-sell, cross-sell deals. Your fictional good friend-- a Buyer Persona-- has actually come to your celebration with friends and family. The secret to personalization of your communication is acknowledging that amongst many individuals that you want to reach, each of them is various and has various needs. Sure, it is not possible to customize 1 on 1 but division of your target to small groups may be simply great conversion-wise. The more information you get, the more evidence to cluster. So when you analyze big data do not be scared. Think of it as a big pile of pretty small bits that provide you a wide array of reinforcements.


2. Spread out

Because you already know you desire all type of target groups, you may simply jump into analyzing these varied information sets. You have plenty techniques to choose from, depending upon your service goals and whether you have actually structured or disorganized information to handle. It is always great to verify, though. So, you can blend and match your ways to find pertinent insights among your information. When it comes to company intelligence, you might wish to check:

Data mining-- is a way to find new patterns in your analyze big data; it is based upon presumption that if something is consistently occurring, it may be significant in some way. Cluster analysis-- this may be the next action because it is a way to group things figured out by particular sets of similar qualities. Predictive modeling-- this is what a psychic would do but far more analyze big data driven.


We have most likely all concur that there is a minor however quite substantial difference in between a fairy and a weather forecaster. With this method to analyze big data, you just gamble on the theory of possibility and the odds that it will provide are, well, pretty big. Textual analysis-- a masterfully crafted natural language processing algorithm can draw out very helpful information not only from digits however also from multiple blocks of text; needless to state, the belief of online mentions about-- let us say-- your brand, or gender of the authors, or their places may be available in handy.  

3. Catch up

Act in genuine time. It is no secret that instant updates are vital in successful company. Even if this action might appear indistinctive for analyze of big data, it is not so obvious that with big pieces of details your analysis is going to be flexible enough. You can identify otherwise entirely fine analytics tools which regretfully provide updates that you need to wait hours for.


However, for instance in e-commerce, it is a common practice to base on analyze big data when creating a dynamic prices. If you feel like experimenting, try to book a flight on Friday and after that go and see the very same deal on Monday or Tuesday. That just shows that real-time big data analysis is offered. And it is worth every penny.


4. Suit up

Well, to be precise, your information should suit up. As in dress nicely into appealing charts and graphs so that you would no longer lose your time attempting to draw some conclusions. Especially if you are dealing with massive amounts of digits or online mentions. What you require to do is to discover a proper analytics tool that can offer you with extensive visualizations of your information. This way you can comprehend it quickly and act on it. 

5. Look out

Although you can save time and cash thanks to big data analyze, you need to keep your eyes open.


There are a few problems that occur with meddling in what people are putting on the web. Initially, there are the privacy matter. The whole IT world is walking on tiptoes around it. However, as long as you use a real platform to collect and analyze big data, you are safeguarded. What you do require to remember, though, are typical figure errors. Like for example causation-correlation puzzle. Even if you utilize an appropriate tool, make certain you set it up correctly. Did you understand that Watson of IBM, amongst lots of uses, was a structure for medical diagnosis tool? It would collect details and narrow it down to the most likely result. However, you can not state the program is a full-fledged doctor.

Mentioning health, what you do require for sure is a healthy big data policy?  A strategy that will assist you tame your big data analyze and use it to your advantage.

If you have heard that big data analyze is a magic gadget that will skyrocket your service, you may want to reconsider your source. For each excellent background research study group comes a Dr. House that needs to connect the dots. Because with managing big data, a human touch is needed more than ever. Sure, deep learning is quick and efficient however at the end of the day, it is a real human that decides. The more big data driven analyze, the better.


42 Views

0 Comments

Write A Comment

*
*
add Row
add block