The Costs of Bad Data: Dissatisfied Customers

One of your customers didn’t receive his latest shipment. Understandably upset, he calls your support line. They try to help, but your customer, product, and order data are stored in different systems.  “There’s one more place I can look: can I put you on hold?”

More calls come in. The clock is ticking. Emotions start to run hot. And as we’ve all seen, it just takes a few moments of saying the wrong thing to an angry customer for even the largest brand to lose millions in value.

How Did Things Get This Way?

It’s not anyone’s fault: business has become so competitive that it’s a victory just to keep the lights on, let alone make sure they aren’t ready to burn out. Today’s customers demand real-time feedback, and solutions that work perfectly, use the latest technology, and fit seamlessly into their current platform. That takes data. And, over time, the systems storing this data multiply until every business unit is a separate silo with its own version of the truth.

How Can You Fix It?

Until recently, you couldn’t: all that data was stored in different systems because there was too much to store in just one place. Today, that’s no longer true: Hadoop—a technology invented by Google to index the entire Internet—lets you store enormous amounts of data in just one system. Your team members can search this data in real time, and know in seconds if a product is back-ordered, delayed, or shipped and on its way. And because Hadoop integrates with existing technologies like Oracle and SQL Server, you can continue to use those systems that perform well while phasing out those that don’t.

How Does Hadoop Work?

A database like Oracle stores everything as one very large file. The more data you have, the larger the file becomes. And very large files take a long time to open. Have you ever opened a very large spreadsheet: the Microsoft Spinner loops over and over, as if it’s saying, “I’m doing the best I can here, okay?” A database has the same problem: once it grows to a certain size, it becomes too large to use.

Hadoop solves the problem by storing your data as hundreds of small files, while still letting users work with it as if it were one large file. Your team members can query, search, and analyze all your data in minutes instead of hours. For real-time applications, Hadoop services such as Impala provide answers in seconds to your entire sales or customer service team. And it does everything seamlessly, so your employees only see the data they need to provide top-notch service to your customers.

What Else Can Hadoop Do?

Because so many businesses are adopting Hadoop, there are dozens of packages designed to meet specific business needs:

  • Hive lets your team query Hadoop data using SQL, just like Oracle, or SQL Server.
  • Kafka lets your team build real-time streaming applications to provide Software as a Service (SaaS) to your customers.
  • Spark lets your team use the latest artificial intelligence algorithms, such as Bayesian filters, random forests, and neural nets, to discover patterns in your data and tailor product offers to the individual customer in real time.

Hadoop also lets you build custom solutions tailored to your unique business needs, using Natural Language Processing (NLP), the Internet of Things (IoT), and other bleeding edge technologies. And, like Hadoop itself, all these packages are open source, so your developers can access the full source code anytime, anywhere (try getting that from Microsoft).

How Do I Get Started?

Your organization is unique, and so are its technology needs. You need to partner with someone with a proven track record of delivering customized, future-proof Big Data solutions.

That’s what Synchronic Analytics can provide. We have partnered with insurance companies, health care providers, governments, and other organizations to build custom software solutions and leverage existing data to deliver real-time, actionable insights. We will catalogue your existing data architecture, identify the choke points, and design a Hadoop data architecture to remove them. From configuring the hardware, to ingesting the data, to deploying your Big Data solutions to production, Synchronic Analytics will be your partner every step of the way.

The Time To Act is Now!

It’s human nature to put of change. And investing in Big Data technology is a serious commitment. But this once-exotic technology has become the new normal for businesses as diverse as Paypal, Nike, The Home Depot, and Boeing. Hadoop is the engine driving the Uber revolution, and the glue holding Facebook together. Your smartphone uses it; so does the IRS. And every day, more companies are signing on. In the next five years, over half of all CIOs plan to make significant investments in Big Data technology. In order to stay competitive, the question is not if, but when.

Technology changes so fast today that it’s easy to feel overwhelmed. But you don’t have to go it alone. Let our expertise guide your journey, and you’ll not only arrive, you’ll arrive in style.

To start you journey, click here to arrange your free, one-hour consultation.