The Costs of Bad Data: Wrong Predictions

Bad Data Leads to Wrong Predictions

When business data is stored on more than one computer system, it’s difficult to make predictions that take everything into account. This leads to forecasting errors, inventory stagnation, and even unpopular or failed product launches. All of this hurts the brand you have spent millions of dollars building.

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.

How Does It Work?

Hadoop works by storing really large files as hundreds of smaller files. Have you ever opened a huge Excel spreadsheet? You just sit there while the Microsoft Spinner loops over and over, as if it’s saying “Look, I’m doing the best I can here, okay?” That’s because large files take a very long time to open and analyze.

Hadoop solves this by storing your data as hundreds of small files, while still letting your users work with it as if it were one large file. It does all the record-keeping “behind the scenes”, so your employees never need to worry about it.

What About Prediction?

Just having all your data in one place makes it easier for your team to make sure it is reliable and accurate (remember, Garbage In, Garbage Out). Hadoop also provides tools like HBase to generate master records that contain all your data on each individual customer, from the pages they visit, to the products they order. And Hadoop makes it easy to incorporate advanced machine-learning with Apache Spark, so your team can discover hidden relationships in your data that you can leverage to stay ahead of the competition.

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.