When product, customer, and shipping data is stored on multiple computer system, it’s difficult to make sure they are all in sync. One system may have outdated documentation for your new flagship product. Another system has the correct documentation, but only half your application development team knows precisely where to find it.
Then, two weeks from the official release date, you discover that the automatic job to sync everything together has been failing for the past month. You’ve sold your customers on this product: they want to buy it. But, how will you deliver it to them on time?
How Did Things Get This Way?
The sheer amount of available data over the past decade has left I.T. departments everywhere scrambling to keep up. Today’s companies track everything about their customers, from web page visits to orders to long-term loyalty. Over time, the systems that store this data multiply until just keeping them online takes up everyone’s time.
In addition, application development is collaborative: your programmers use resources developed by Apache, Oracle, and Microsoft to to the heavy lifting. This means that your data is not just information on your products, customers, and sales: it’s also the other programs, file formats, and documentation that your products rely on. And that means even more systems to store everything.
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.
This means that tour team members can know in seconds if a product is back-ordered, delayed, or shipped and on its way. And your developers can access the most up-to-date documentation so your applications work seamlessly across desktop, mobile, and cloud platforms.
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.