Five misconceptions about big data that haunt businesses

In this autumn of mild chill, we all know that Halloween is coming, but what could be scarier than ghosts or haunted houses? Big Data is a nightmare for many IT managers. In fact, as long as the right tools and strategies are deployed, large data can bring many opportunities for the enterprise, let's look at the 5 big data misunderstandings that are troubling the enterprise:

Myth 1: "We're a small company and we don't have to worry about big data problems." ”

From the news report we learned a lot of big data projects of large enterprises, but enterprises should not be alarmed by their practices. Businesses of all sizes can and should capture data like large enterprises. After all, whether you're a Fortune 500 firm or a small company, you want to know your customers.

Myth 2: "I've deployed a large data system and all the data problems are solved." ”

For those with this idea, be aware that you don't want to see the end of a cyber catastrophe. Traditional large data systems do not solve all problems, they need to ensure that the data provided to them is good data, not bad data. A more accurate and insightful way to tap large data is to use the network, where all the data flows. As more and more applications move to cloud computing, organizations must deploy a solution that captures the user experience across private, mixed, and public networks if they want to fully understand the customer experience.

Myth 3: "We have to capture all the information for large data analysis." ”

It sounds like the right thing to do, but it's not really the case at all. For large data analysis, focus on capturing the right data and filtering out what you don't need. When you are capturing data for analysis, you need to pay attention to blind spots, because this may lead to an incomplete customer experience and behavioral analysis results. You need such a solution that allows you to capture all the information, but only the right data is sent to the analytics solution to help you understand the real customer experience.

Myth 4: "Large data systems are expensive to deploy and maintain." ”

Just as Halloween decorations are not necessarily expensive, there are also solutions that can provide you with comprehensive customer experience information while not allowing you to exceed your budget. In fact, the most effective solution is to capture data over the network and allow you to filter out incomplete, relevant, or real-time data to provide you with cost-effective and valuable large data solutions.

Myth 5: Big Data systems are too complicated. ”

Do not consider large data systems to be complex. Today's solutions offer very powerful capabilities to provide valuable, accessible, and usable information to those responsible for the customer experience. By providing the highest quality data to the analysis system, you are better able to derive value from the data. In addition, you can change the filter remotely to allow your analyst and marketing experts to "help themselves" with the analysis. You do not need to change the application code. As long as you deploy the right tools and the right team, big data will bring you unprecedented opportunities, not to be intimidated by these five misconceptions.