Data aggregation services: Definition and outsourcing benefits

What is data aggregation and why does it matter?

Data aggregation is the process of gathering data from many sources and shaping it into a clear, summarized form that businesses can act on.

• It turns scattered raw data into useful insight.
• It supports better and faster business decisions.
• It is easy to outsource to a skilled BPO partner.

Data aggregation is now a core task for data-driven firms. Data is among the top commodities of the modern world. Some even call it the “new oil,” as the British mathematician Clive Humby put it.

Like oil, data grows more valuable once it is refined. In other words, data aggregation makes data more useful to people and firms. People have studied data for a long time. The idea of “Big Data” is old, and early data analysis dates back to the Bubonic plague era.

Still, the pace of data creation has surged in the digital age. As a result, data aggregation has become even more crucial. Analysts now work hard to turn raw data into clear industry insight. However, not every firm has the right tools or staff for this job. So many turn to business process outsourcing (BPO) firms, such as OP360, to fill the gap. First, though, it helps to understand what data aggregation is.

What is data aggregation?

Data aggregation is the process of collecting data from many sources. Next, that data is compiled and organized into a summarized form. Once summarized, firms can use it for statistical analysis.

Analysts can apply data aggregation at any scale. For example, it can cover small samples like sales reports. It can also handle large, complex data lakes.

These processes comb through many sources. So the data they collect is just as varied. It can include anything from age and profession to a firm’s own data and social media analytics.

Types of data aggregation

There are two main types of data aggregation. First is manual, and second is automated.

Manual data aggregation

In the manual approach, staff aggregate the data themselves. They may use tools to export data from many sources. Still, they sort the imported data by hand using Excel sheets. Because this is slow, many firms pick the second approach.

Automated data aggregation

Automated data aggregation makes full use of automation tools for faster work. In addition, these tools, or middleware, pull data from many platforms. They also expand data in key areas of interest.

Next, this software normalizes the data with harmonizing methods. It removes duplicates too. In addition, it aligns distinct indicators and clears up discrepancies. This is similar to how data processing services clean and prepare information for use.

Which industries use data aggregation?

Data aggregation is industry-agnostic. So firms in any field can use it to their gain. However, firms in heavily data-reliant industries lean on it the most. After all, the process can lift their performance by a wide margin.

Finance, banking, healthcare, retail, and marketing are prime examples. These fields are data-dependent and frequent users of data aggregation. Even Uber’s ride-hailing service rely on this process. Because demand keeps rising, many firms invest in big data consulting to stay ahead.

Benefits of outsourcing data aggregation services

Outsourcing data aggregation brings many advantages. This is true for startups that are just starting to expand. Below are a few of the main benefits.

Cost reduction

Outsourcing is far cheaper than building your own team from scratch. First, labor costs drop by a large margin. Second, you save on the premium software this work needs. For a wider view, see how firms gain from data management outsourcing.

Easily scalable

With a partner, you can scale up or down with ease. Your needs may shift with the volume of data traffic. So this flexibility helps a lot. Outsourcing also spares you the cost and hassle of hiring and training.

Professional services

Also, access to data pros may be the best benefit of all. When experts handle your data, you can focus on other tasks. As a result, you work with less worry and more confidence. To keep quality high, it also helps to follow data management best practices.

Why OP360 is the smart choice for outsourcing data aggregation services

OP360 is a strong choice for your data aggregation needs. It offers high-quality service at a very competitive rate. Moreover, it draws from a deep and skilled talent pool. So clients get top agents with an average of six years of industry experience.

Also, these staff use the latest tools. As a result, they deliver quick turnaround and quality output. No matter your company size, OP360 can help you grow and delegate. With many years of industry experience behind it, this outsourcing stalwart serves clients well. It works with small and mid-sized firms and Fortune 500 companies alike.

Frequently asked questions

What is the goal of data aggregation?

First, the goal is to turn scattered data into a clear summary. So teams can spot trends and make better calls. In short, it makes raw data useful.

What is the difference between manual and automated data aggregation?

Manual work relies on staff and Excel sheets. Automated work uses software to pull and clean data. As a result, the automated path is faster and more accurate.

Is data mining the same as data aggregation?

No, they are related but different. Aggregation gathers and summarizes data. In contrast, data mining digs for hidden patterns within it.

Why do companies outsource data aggregation?

They outsource to save money and scale with ease. In addition, they gain access to skilled data pros. So they can focus on their core work.

Key takeaways

• Data aggregation turns raw data from many sources into clear insight.
• It comes in two forms: manual and automated.
• Data-heavy fields like finance and healthcare rely on it the most.
• Outsourcing cuts costs, scales fast, and adds expert help.
• OP360 is a proven partner for data aggregation services.