Seventhman Blog

  1. Perceptions on Big Data: The Good and the Bad

    "big data trends"There have been many talks about Big Data lately and one can only wonder if there is a limit when it comes to the power of predictive data with all these analytics available.  Last time, I have blogged about creating big data initiatives for business success and yet, looking through the lens of an entrepreneur, there are still plenty of unexplored terrains where the topic is concerned.  Should we simply embrace the idea that big data is here to stay?  Is the trend reaching the peak of inflated expectations where matters of security is concerned?  At the end of the day, data gathered is not really the real business driver, but the insights and intelligence that rise from this.  It will always transcend beyond size.. to the impact these data will have, whether the raw volume of data is big or small.

    What You Should Know About Big Data

    With the influx of investors wanting to take a piece of the big data cake, it’s not a news anymore to find venture capitalists pouring millions of dollars into firms creating products whose goal is to manage this so-called big data.  Does big data mean big business?  It’s too soon to tell.  Right now, one thing is for sure: Businesses will always look for better ways to store, manage, analyze and integrate data to help them reach their goals.  With the advent of cloud computing, mobile technology and social media platforms – it’s all a matter of time when everyone gets more comfy with the idea that big data isn’t a hype, but a hope for those who are targeting global markets in a down-sized economy.

    Given this circumstance, you need to know that data these days can come from virtually anywhere.  The real value here is how you can capture what’s important and analyze it to drive efficiency to your business.  For this to happen, you will need to find the right person who knows how to work the tools of the trade, so s/he can come up with the right data, of filtering through the clutter.  This onslaught has surely paved the way to a renewed interest on predictive analytics, of finding value in an era of widespread data – to finding ways in solving big problems before it can happen in real-time.

    When Big Data Enters the Dark Side

    A couple of years back, big data is used by credit-rating companies in an effort to build a monster database about their clients.  Access to this rich customer data is like joining an elitist club.  Today, big data is more strategic.  Just take a look at Facebook who recently offered an IPO and is valued in the billions simply because it’s a big treasure cove of valuable data that will unlock the secrets of selling to a wider demographic.  I’d rather say ‘Welcome to the stalker economy’ and there’s no such thing as free.  People these days are willing to give out personal information in exchange of  free products.  Yes, technophiles may be excited about the potentials of big data, but it’s like appreciating carbon energy and its huge supply… until ice caps melt.  What we created as a gift may be our burden, and the cost may be higher this time.. where knowledge is concerned.

    We may argue for the customer’s sake as we use big data to drive a customer-centric business.  Yet, are we reaching the end of privacy?  Or more likely, will we risk our privacy to pay for the price of big data?  Knowledge do come with power and this time, it’s not really about the data we will gather.. but how we put it into use.  The risk may be higher and this time, there’s no turning back.

    Are you ready to walk the fine line between what’s right according to the data you’ve examined… and what you feel is right?

  2. Embracing the Big Data

    "big data"Big data may not be new, but the buzz about it continues to grow each day.  We have created data so big that we can no longer work with them using traditional database management tools.  Did you know that we make as much as 2.5 quintillion bytes of data every day?  By the word itself, data has become this huge that curating and analyzing it is a big challenge… which can become the next ‘big’ thing for companies wanting to capitalize on it.  Big data may be the hottest IT buzzword for 2012, and to find cost effective measures in working with this massive data is something that cloud architectures are targeting.  Now, even startups can rent server time cheaper than ever.

    Big Data: A Needle in a Haystack

    When data becomes too big and too fast for your database architecture, here’s where the problem sets in.  Data comes from almost everywhere like posts in social media sites, online videos, online sales transactions, GPS signals and so on.  The challenge now is how one can control the volume, velocity and variety of data streaming in – so you can gather business intelligence that will be useful to your organization.  These new types of data can definitely help make your business more agile, leading to faster growth and eventually, success.  Data is indeed valuable for analyzing things and to help you create new products.  It can reveal customer insights from various demographics.  Thus, in the end, it helps you gain a competitive advantage.  The only problem is that with size comes clutter.  So, how can you really manage?

    Creating Big Data Initiatives for Business Success

    I have come across a post lately featuring a study on how big data fueled the predictive analytics process on tracking  college students’ retention rate ( and it’s still a work in progress ).  Think of big data as an early warning device which can stop any organization from committing a costly mistake.  Come to think of it, information is the new commodity today and those who have the right info at their hands have the power to control the fate of their business.  The real issue perhaps that we will face is not only the security of maintaining this big data, but in finding the right people who will manage it.  Those who are specially trained for this job will know the value of data when it comes to your business, helping you sift through all the ‘mess’ and gather those data that you really need.  Because only meaningful data can drive business innovation, it is crucial for you to define internally what big data really means.

    Finding New Opportunities in Convergence

    Big data is more than just a thing for the curious; you need to have an entrepreneurial outlook to make it work.  This calls for a strategy, on how you can integrate a plan at every department so everyone can take accountability.  For example, you can work with your key persons to make sure that data is used correctly so it can deliver the best impact for your business.  You need to understand the why of using this data now and in the future, for you to make the right decisions if you’re implementing change in your business.  Of course, there will be issues when it comes to data quality so you need careful planning – from data collection to analysis.

    Big data fuels the heart of continuous improvement in your business, as you learn from the process and feedback from your stakeholders.  Your end goal is to save time and money so you can reach maximum ROI for your business.  Though not every business treats big data the same, the chance of finding practical ways to harness its powers will open a door to possibilities beyond what you can only start to imagine…

    Finding patterns in your data may be the first step.  What’s next?