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How to Turn Small Data Into Big Data

Jimmy Rohampton, @jimmyrohampton

Big data is the trend that is taking over the world of business. Quantity over quality reigned supreme for a short period of time, before companies started to take a long, hard look at the effectiveness of the data they were using. Turning small data into big data isn't as difficult as you think.

This article is going to show you some of the ways in which you can get started with using big data.

Big Data Exploration: What Do You Have Already?

To begin with, you have to figure out exactly where you are right now in the land of data. You need to know what sort of data you have access to now and then conduct an audit as to how you are gathering that data. Knowing these things will help you to make better decisions.

Big data exploration will allow you to begin growing from sensors and catchment points to huge servers gathering massive amounts of data from internal and external sources. This initial research will be your starting point for turning small data into big data.

An Enhanced View of the Customer

Data for the sake of data is of no use to you. This was a big problem with big data in the beginning. Companies need to get a 360-degree view of the customer to understand where the gaps in their knowledge are and what data they wish to collect.

In addition to this, you need to grasp how you are going to get the data you want. For most companies, this is about extending views of the customer by bringing in internal and external information sources. For example, you may look at previous sales performance and how you have performed in the past with upselling.

The Need for Security

You like already know how important the security of data is. A data breach can lead to legal complications, as well as issues regarding a loss of customer trust. Cyber security only becomes a more pressing issue when you make the move into big data because your security arrangements will scale directly.

You can use ID theft prevention services that help you reduce risks, spot instances where fraud could develop, and monitor your security arrangements in real-time. It's no longer acceptable for you to be reactive. You have to be proactive.

Operations Analysis

Dealing with large amounts of data is a major challenge companies face. They are receiving so much data that they struggle to actually make any sense of it. Stepping into big data isn't just about how much data you can bring together. It's about your ability to actually use this data in a meaningful way.

The key to using big data in the correct manner is to have a visualization solution. Data visualization will present data in a way that enables you to easily pick out specific trends and to make decisions based on those trends. This may be at the first point of contact or it could be in the middle of a boardroom when justifying the expenditure of your next campaign.

Does Big Data Have a Place for Small Businesses?

It's easy to look at big data as something that only a large business could properly take advantage of. Unsurprisingly, it does require some time and resources to jump from small data to big data. But big data is all around you, from public sources to third-party sources gathered from other companies.

A lot of small businesses instantly discount the idea of big data because they believe it cannot help them. However, it can unlock secrets about your target market. It's the same market whether you're a small business or a big business, so why wouldn't it have some use?

You just need to make sure that investing in big data doesn't take away from your core business operations.


Keep in mind that you need to understand every aspect of big data and your responsibilities for that data before entering into this sector.

With the right preparations in place, you can benefit hugely from using big data. How will you use big data today?

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