Seventhman Blog

  1. Are You Ready for the Big Data Transition?

    "big data challenge"Much has been said about big data that it feels like a giant black hole pulling you into a world of confusion.  If there’s one thing that business owners and network managers could agree on, it’s this: They’re not ready yet… in facing these big transformations in technology, namely: big data, cloud, security, mobility and data management.  The biggest challenge now is how can you prepare for the future of big data – today?  The government may know everything about people using the internet, but they may also face the same challenges.  How can you really adopt big data solutions to enhance the way you do business?  That’s the bottom line.

    When Talent Scarcity Meets Big Data Hype

    It might surprise you that many are feeling overwhelmed with the surge of unstructured data in their organization and they are struggling to understand how all these petabyte of data can add value to the business.  While many are looking at Hadoop as the core of all the big data efforts, data grows faster in a blink of an eye and dashboards are becoming too complicated for the common user.  Keeping these data is already a huge challenge for data managers and finding someone who can filter the clutter gets more frustrating each day.  Coupled with mixed messages about the big data hype and a small supply of talented data scientists, you begin to wonder if you can still find that ‘sweet spot’ where knowledge and productivity merges.

    The Growing Demand for Big Data Workers Continues

    The next big thing for data professionals is big data – of interpreting data analytics into actionable insights to help improve customer relationships, products, services and eventually, drive new opportunities.  There is a real demand for this talented workforce, but the supply cannot meet it.  Big organizations often look for talents in-house or train their people to learn on-the-job skills by collaborating with those who are offering training courses.  Nurturing your team with the right toolsets and knowledge is just one solution to getting things done.  There’s also the question of what type of cloud technologies should be used to get the most out of these big data initiatives –  whether to go private or public.  Then, there’s the quality of these services and the security of data gathered.  As you can see, everything’s interconnected.. and a failure of one means a failure of all.

    Big Data Challenges: Addressing the Real Issue

    The problem that many businesses are struggling with is not just understanding big data – but how to make it work.  They may even be halfway through their big data plans right now.. and are simply clueless on what and why they’re doing it.  A great data analysis doesn’t equate to great execution.  Still, there’s a huge potential on integrating information of any scale, from any source.  This will call for effective management, from top to bottom.  It’s all about integration – of business and IT, of unstructured and traditional enterprise data.  Problem is, when big data experts are called in to help, managers are often left out of the process.  You can’t expect these data scientists to add value without collaborating with those who make front-line decisions.  The two must work hand-in-hand.  There’s no other way.

    It is only when business and data experts work together that they will come up with a clear strategy that yields results.  Would you agree?

     

     

  2. Big Data or Big Lies?

    "big data myth"Would you agree if I say that 2013 is the year of big data?  There were talks on big data last year and now, it’s the center of data analytics as we know it.  Both private and public sectors alike would want to tap into predictive analytics, of having access to information that can be used not only in growing business and customer base, but also to enhance homeland security, law enforcement, finance, health care and a whole lot more.  The race is on in finding value in the vast volume of data, like ripe apples ready for the picking.  We’ve only scratched the tip of the iceberg and we haven’t unlocked big data’s fullest potential yet.  One can only ask if outdated policies can really keep up with these new technologies (soon?)

    Responding to the Big Data Challenge

    Are Fortune 500 companies making big data investments like some digital gold rush?  One thing is for sure, business decisions are now data-driven and they need to measure what they want improved.  Simply put, data is everywhere and the world just got bigger as we see structured and unstructured data proliferate online documents, websites, social media, mobile and relational databases.  To be highly productive where big data is concerned will mean finding the right data scientist to interpret things accordingly.  The issue here is not so much about a lack of talent where big data initiatives are concerned, but organizational alignment – of making sure that business and technology will work together for a common goal.  This is still a work-in-progress among many who are trying to manage data and create an environment with the greatest probabilities of success.

    Big Data, Bigger Myths

    Just as there’s huge enthusiasm over big data, there are those who call it a hype.  I was just reading this post by Matthew on how President Obama really beat Romney – and it’s curious to see bias in the interpretation of data presented.  I’ve been following all these talks about the big data buzz and compiled these myths as follow:

    1. Size matters – Not really; bigger volumes of data doesn’t necessarily mean it’s valuable.

    2. You Have to Know Hadoop – while this open-source Apache software is great for working with big data, you don’t need to master it just for you to leverage customer data to improve your business ROI.

    3. It is Unstructured – which is not really accurate.  Big data is multi-structured as it can come in any (and many ) forms

    4. It’s only used for analyzing social feeds or user sentiment – which big data can do, but it has more to offer than that ( This article on Forbes shows you other ways of using big data ).

    5. There’s an Ultimate Solution – The complexity of big data shows us that there’s just no silver bullet to solve it.  You need to have a dynamic environment to effectively collect, manage and draw insights from big data

    If you collect quality data, you’ll get quality results.  While these myths abound, let me say this: Knowing is Better than Guessing.  Like it or not, big data is here to stay.  It may be a tough road to take as you switch from information overload to focused data.  In the end, everyone wins.  Just take a holistic approach, be open to new data patterns and integrate the old into the new.

    Then, reap bigger rewards..