How Can Data Be Used to Assist Mergers and Acquisitions?

Mergers and acquisitions

Mergers and acquisitions are major decisions in an organization’s life. M&As can sometimes be a case of knowing when you know. These decisions, however, usually require data to support them. Understanding the financial health of a company before purchasing is imperative to determine whether or not the ROI would be beneficial or detrimental. Many companies realize the importance of getting access to, and analyzing, company data sets before following through with a M&A. The most challenging aspect revolves around how to actually get the data and the correct sets of data to support the decision. Luckily there are several companies, including iData, that assist and provide data analytics in an easy to understand manner. Below we have outlined a few different types of data sets and analytics that assist M&A decisions. Continue reading to learn more.

What is a merger and acquisition?

A merger can be described as the joining or unification of two companies into a new company. On the other hand, an acquisition usually refers to the take-over of one company by another. Typically mergers and acquisitions (M&As) occur due to a need for expanding the company, entering new market, and/or increasing market shares.

Types of Data to Assist M&As

Predictive Analytics 

Wouldn’t it be useful for a company to be able to predict the future growth of a particular company? In fact, it would. When considering a merger with, or acquisition of, a company, having a glimpse into the future could reassure the decision if everything is looking good or discourage it if not. During M&As, predictive analytics are an indispensable source of information, and iData offers these insights. iData’s reports typically cover a period of 10 years, covering historical data from 2017/2018, along with predictions and fluctuations for 2027/2028. iData’s analyst division has conducted rigorous primary and secondary research to determine these insights. 

Descriptive Analytics 

Predicting the future of a company is great, but understanding its past data is almost equally as important. This is where descriptive analytics come in. The purpose of descriptive analytics is to summarize past events and trends within a company. These analytics are as critical as future predictions. Since descriptive analytics can identify whether or not the company has been experiencing growth or decline in certain segments/markets, they can determine how they have performed in the past. As discussed above, iData’s reports also include historical data that goes back several years in order to identify trends and explain fluctuations. 

Why Should You Use Data During an M&A?

Because mergers and acquisitions are major organizational events that can alter the future success of any given company, it seems easy to comprehend the idea that having data into the past and future can be beneficial. iData offers reports with high-quality information that have been trusted by many large and small medical device companies alike for over 16 years. In our reports, we present countless data points in easy-to-read chapters, graphs, and tables that would otherwise take months to compile. Ultimately, you should make data one of our best friends when it comes to M&As. Without the ability to analyze data effectively, it is impossible to generate meaningful information in a world where there is an endless supply of data. Let’s see how we can assist your M&A strategy and ensure all of your investments are successful, book a demo through the button below.


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