Accelerate Business with Big Data Insights

high-speed90% of all data ever created was created in the past two years.*

This astounding fact alone is enough to make IT managers look for the closest exit. When you’re overwhelmed by a lack of resources and budget, leveraging big data with an antiquated IT infrastructure can seem like an impossible task.

No doubt your business data is on par with the rest of the industry, growing in volume, velocity, and variety at a staggering rate. While managing your massive data sets may seem like an overwhelming undertaking, consider these potential benefits to be gained by harnessing your data:

  • Improve decision-making ability and operational intelligence by predicting outcomes based on previous actions taken
  • Increase transparency by providing access to greater amounts of data and numbers of users
  • Help prevent wasteful spending, fraud, and abuse by flagging questionable expenses or erroneous payments
  • Respond to issues immediately with on-demand access to business insights

Creating a comprehensive big data strategy that leverages advanced technology, analytics, and proven best practices will enable you to answer your business challenges with strategic data insights.

Deploy a big data plan to boost productivity

Creating a strategy to unify business data, from both the digital and physical worlds, will provide transparency in all aspects of your business. Applying advanced analytics to your data will enable you to unlock business […]

By | October 13th, 2016|Categories: Big Data|Tags: , , , , |0 Comments

3 Steps to Simplify and Optimize Your Storage Management

storageIncreasing business demands, server and storage limitations, tapped-out data centers … we’ve all seen it. As business grows, so does the need to determine how to support growing data and storage management needs.

Increasingly apparent to me is that traditional “high-end” storage solutions simply are no longer capable of supporting today’s increasing IT requirements. In fact, they often jeopardize productivity and scalability. Yet we see IT professionals continuing to answer storage challenges by purchasing additional drives and devices to support applicable systems, as if by default.

This seemingly acceptable method further complicates already complex IT infrastructures, resulting in a decrease in architecture performance and an increase in costs (particularly related to higher power and cooling bills). This unsustainable practice puts additional strain on applications and management staff.

Simplify your IT infrastructure to improve performance

At Sysorex, we are often asked, “How can I boost IT productivity and scalability?” While it’s easy enough to answer, “Simplify your IT infrastructure,” that doesn’t necessarily communicate a clear path IT management staff can follow to increase scalability, enhance data management productivity and reduce costs. Let’s break that down.

  1. Assess your needs
    The first step to any good strategy begins with identifying a list of your business requirements and future objectives. I always kick off a new customer engagement with an assessment; that way I can quickly […]

Capturing Pokemon

Pokemon“What on earth is going on at Veteran’s Park?”  As we drove by, I glanced over to see it teeming with people. Young people. All glued to their phones. While they may have looked like zombies, it dawned on me (as I’m sure it has you) that they were immersed in the game Pokémon GO.

For the uninitiated, Pokémon GO is an augmented reality game that blends digital elements with the physical world. Players capture Pokémon (pocket monsters) and grow/evolve them. The game includes PokéStops at physical locations, where players stock up on supplies, and battle locations called Pokémon Gyms.

What captured my attention was the crowds of real life people ranging far and wide, day and night, hunting Pokémon. And I wondered how retailers, museums, libraries and other public institutions might join in the fun and reap the benefits of the players just outside the door.

Currently, a location can’t declare itself a PokéStop or Gym, which are predetermined by the game (although, McDonald’s in Japan has a sponsorship deal turning 3000 restaurants into Pokémon Gyms.) But, if your business is already a Stop or Gym, you can place a lure at your location that attracts rare Pokémon. For roughly $10 a day, hoards of people will follow Pokémon right to your door.

Or, is there a Stop […]

By | August 4th, 2016|Categories: Big Data, Industry Buzz, IoT, Mobile|Tags: , , , , |1 Comment

Do we have an over-reliance on data?

Recently, a rather alarming headline appeared in my news feed (”Data dangers: Why publishers’ over-reliance on data puts them at risk”.) The author believes that newspapers publishers’ reliance on customer data makes them “vulnerable” because ad blockers and customer privacy legislation will lead to data scarcity. He makes an interesting point. Blockers and legislation will shape how data is collected and used. But, in this age of information, I’m not sure that data can be overly-relied upon. And, there are best practices when working with data that’s been acquired from website visitors which can mitigate concerns about data scarcity:

Handle with Care

Website visitors see their personal data as valuable, and rightly so. Treat it with care. Safeguard it. When possible, ask permission when gathering information.

Demonstrate Value

Collect the minimum information required, and demonstrate the value for the visitor. When creating sign-ups for an email newsletter, for example, resist the impulse to gather extensive demographic information. Readers know all you really need is their email address.

Before a visitor commits to providing personal information, explain what they will receive in return. Display a sample if possible, so that providing personal information becomes a value exchange.

Use What You Already Have

Examine the data you already have on hand with fresh eyes. For example, Shoom eTearsheets, while designed to provide proof […]

By | June 10th, 2016|Categories: analytics, Big Data, IoT|Tags: , , , , , |0 Comments

Tempered Networks and the Security EcoSystem

TNThe best block is to not be there” – Mr. Miyagi

Designing, installing, and maintaining your company’s infrastructure can be one heck of a job. I’ve been doing network architecture for about 20 years now and the best explanation I’ve ever found to tell people what I do is still, “I make sure packets go from point A to point B, and back again”. Horribly simplified, but if I start going down the rabbit-hole about L1-L4 design ideas and trade-offs, they immediately look like they just stepped on a rake and knocked themselves silly. Seriously, if I ever want my kids to go to sleep right away, I just pick a random page out of “TCP/IP Illustrated” and start reading it to them. “Forget counting sheep, I’ve got a subnet mask for you to work on…” But one of the things that keeps me up at night is security. I’ve had plenty of clients who’ve back-burnered security and woke up the next day to an encrypted file system and demands for bitcoins. I’ve got others who are now starting to realize that everybody accessing their IP/sensitive docs internally maybe really isn’t a good thing and those emails from Mr. Nairbobi? Ya know, the ones that say you’re rich and can you please open this PDF as well […]

By | May 27th, 2016|Categories: Big Data|Tags: , , , |0 Comments

If You Build It…

Build“Those who build have more to offer than those who tear things down.”

Dr. Madeleine Albright spoke these words as she addressed the GITEC audience during the morning keynote last week. A speech full of experience and witty jokes, this one statement held my attention.

Technology today is a constant race of innovation, so much so that the desire to be first may appear to outweigh the importance of being the best. While this makes for some interesting press conferences, tweets and outrageous claims, this is not what will let the tech industry continue to better the world in which we live. The race for “first” without consideration for quality will not help the global view of the United States or our national cyber security.

Now well into the second quarter of our year, we’re working to improve the bigger picture. We may have the most precise wireless detection (AirPatrol), we may have the fastest supercomputing analytics (LightMiner), we may be the golden standard for print advertising management (Shoom), but what’s really important is what we’re building through combined efforts. We are first to complete all in one mobile detection of Wi-Fi, cellular and Bluetooth, but we’re not racing to be first, we’re racing to be the best. The story we’re writing is something more than tweet worthy.

The future […]

By | April 21st, 2016|Categories: Big Data, IoT, Mobile|Tags: , , , , |1 Comment

Where’s the Money in IoT?

IoTmoney-01The second in a two-part series.

To follow on The Last blog, we know there is value in the world of lasts that sensors and true innovation are building but can we put numbers to it? Where’s the money in IoT or the Internet of Things? Does IoT have an ROI?

The answer lies in the incredible amount of data that is being collected, stored, sorted and analyzed. It’s not only about descriptive analytics; the real ROI is in the higher levels: predictive, prescriptive and combining them.

The money, the ROI, the answers are in the data.

Everyone is talking about cheap, disposable sensors, while at the same time they allude to fantastical analytical claims. However, it is often forgotten that sensors generate data, sometimes massive amounts of data, and data that requires processing. Regardless of where the data is processed, in the fog (more on this to come), or cloud, or at the sensor layer, it will require more and more compute resources to achieve the promise of predictive and prescriptive analytics. As sensors, the Internet of Things evolves and the amount of data is going to increase exponentially.

Sensors are powerful enough to do some processing and analytics, but we will never be able to do it all at the sensor level. In the IoT space, washing machines […]

By | April 7th, 2016|Categories: analytics, Big Data, IoT|Tags: , , , , , , |1 Comment

What’s Better than First? Last.

lastThe first in a two-part series.

Remember the first time you saw someone speak to their watch or the first time you saw a self-driving car? Of course, because you knew it was important as it was happening.

However, it’s the LAST time you see something that takes the prize. The power of innovation doesn’t lie in the firsts, but the lasts.

I know this sounds backwards, but stick with me.

True progress is about the lasts. It’s about the last time you have to drive yourself, the last time there is a traffic jam, the last time a patient doesn’t receive the necessary care in a timely manner because the equipment cannot be found, and the last time you wonder if your customers’ dwell statistics accurately measure the intent to purchase.

This world of lasts is created by what is already around us, observing and recording. Sensors are creating incredible amounts of data from mobile devices, health trackers, home thermostats, car computers, WiFi networks, and so much more. We depend on these sensors for the ability to understand the NOW in order to improve the TOMORROW.

Imagine. The last time you’ll be on the lower end of the curve because you don’t have insights to your data. The last time you’ll ever wonder if you can follow the customer journey as they […]

By | March 31st, 2016|Categories: analytics, Big Data, IoT|Tags: , , , , , |1 Comment

Mickey Mouse, the Cyber Chef

internThe Internet skipped a beat recently when Disney posted a job listing for a “Global Intelligence Analyst Intern.” Looking for someone to assist with counter-terrorism, the post went viral and was later taken down.

“Wait, what?? But this is the happiest place on earth,” said the Internet. However, Disney is one of many big businesses stepping up their defenses for both physical and cyber attacks.

Amusement parks, retail stores and more have changed their business strategy to integrate the physical experience with the mobile or cyber life. Using precise locationing technology like beacons or zones, visitors can experience more than just what meets the eye with the help of their mobile device. Customization, assistance, special offers and push updates allow visitors to be more connected to where they are than ever before.

On the other side, businesses now have exponentially more information about their visitors. This data is collected from mobile apps, RFID bracelets, video cameras, web cookies, and opted-in loyalty programs and should be guarded like the Hope Diamond. Well-protected and extensive data can be good for customers (personal information is safe, each experience meets a new level of customization and relevance) as well as businesses (know what customers like and dislike, staffing problems resolved, increase ROI).

The interconnectivity (buzzword: Internet of Things) of so much around us […]

By | October 21st, 2015|Categories: Big Data, IoT, Mobile|Tags: , , , , , |0 Comments

Riding The Big Data Shark

sharkThe day after shark week ends, people start entering the water again. Even though hours were spent watching and listening to gruesome fatalities, the cautioning data is quickly forgotten. We want more.

We feel the same way about data – we want it and we want it all. An incredible amount of data flies around us and lives at our fingertips; it can be overwhelming. We tend to forget important data (birthdays, anniversaries, appointments) but we remember a 15 second viral video without any difficulty. As new devices and the Internet of Things creates and collects data, the data ocean continues to grow.

Corporations treat data as if it is shark-infested: cautiously and hoping for calm clarity in the tumultuous waves. Beyond the back-ups and migrations, we’re fed the same lines:

  • “Big Data is the Next Big Thing”
  • “Big Data is Here to Stay”
  • “Big Data is Your Friend”

But big data can seem more like a frenemy, than a friend.

The shark-proof flotation device for corporations is the ability to really SEE the data, not individual rows or columns or cells, but what it means and why. Just like with mobile advertising, the data needs to show exactly what is desired at the right time and to the right person. The analytics need to be smart, even when the data isn’t.

The big data […]

By | July 13th, 2015|Categories: Big Data|Tags: , , , , |1 Comment