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Lori Gillen
Lori Gillen Mohon Tunggu... Editor - Senior Content Creator

Lori Gillen is a Blogger/Content Creator who is specialized in the field of Digital Marketing & Data Analysis with 5 years of experience. Currently working at ChartExpo as a Senior Content Creator.

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Why Data-Driven Decision Making is Your Path to Business Success

9 Juni 2022   20:15 Diperbarui: 13 Oktober 2022   17:18 141
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When making business-related decisions, you cannot miss hearing a thing to do with big data and data-driven decision-making. Even though the two have become buzzwords within the business industry, they have some pretty good reasons to exist. According to research, businesses that utilize big data in decision-making increase their profit by 8%.

Data enables business owners to continue exploiting the endless insights within the digital marketing space currently available at their fingertips, and they can embrace them anytime. The power of data-driven decision-making is seen when it comes to making decisions that impact businesses' continued growth and development.

The only secrete is to learn and master how to measure and analyze your business data accurately and utilize the most appropriate tools when creating data reports. You will be better positioned to conduct data-driven decision-making, which elevates the performance of your business brand.

The current business world mainly depends on well-defined data-oriented decisions depending on the business progress. Even though sometimes it is good to go with your gut, your decisions need to be based on facts and data values. This is mainly meant to give you a solid backup if things go south.

What is Data-Driven Decision Making?

When you talk of data-driven decision-making, you mainly focus on the key performance indicators (KPIs) that determine the business's success. The facts and patterns generated from the business operations are analyzed, and the fundamental insights are generated and used in developing strategies that impact the development of the business.

Instead of relying on guesswork, data-driven decisions allow the business owners to evaluate analyzed data values and insights that offer guidance and touchpoints necessary in decision-making. In addition, you need to understand specific sections within your business where you can extract valuable data.

To get better results, you should extract valuable data that is accurate and aligned with your business goals and objectives. By collecting accurate and valuable data from your business operations, you stand a better chance to make prudent development decisions within the shortest time possible.

Initially, doing data analysis was one of the most complex tasks you can engage in. Thanks to data visualization charts like comparison bar chart to compare growth, which has made everything easier since you can visualize your business data and generate insights in a matter of minutes, and you have the entire job done. You don't need to possess technical expertise in order to visualize your data and generate insights.

Quantitative Data

As a business owner, you need to understand all the aspects of data to identify the best approach to analyze and visualize your data. Quantitative data analysis mainly focuses on numbers and statistics such as standard deviation, median, and any other form of descriptive statistics. This data format is especially measured instead of being observed and making conclusions.

This method of data analysis is mainly used by those searching for facts and figures that they cannot ignore during decision-making. Remember that all the decisions made by the business owner are mainly made in favor of the business.

Qualitative Data 

Qualitative data refers to data values that cannot be defined by looking at the metrics, statistics, or the provided numbers. This data type is mainly collected from anecdotes, conversions, and interviews. This is contrary to quantitative data, which is primarily gathered based on measurements, among other factors.

Why Data-Driven Decision Making is Crucial for Business Success

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