Businesses today have access to more data on their customers than ever before. Vast amounts of data is gathered from customers’ digital clicks, app usage, social media, and other numerous similar sources. All the raw data that businesses collect hold tremendous value that needs to be properly extracted to provide valuable business insights. Tapping the value of data is a must for modern businesses and sustainability in the current competitive marketplace depends on how advanced business operations are made. To further showcase the importance of data, this blog sheds light on some of the key benefits associated with data value and analytics.

Better Decision-Making

One of the major benefits of turning data into valuable insights is to have better decision-making. Instead of making business decisions based on intuition alone, organizations can analyze the data and make better informed decisions. In addition, the amalgam of AI and ML with data analytics greatly helps to make accurate predictions. For instance, a customer’s recent purchases help a business to predict what that customer is likely going to purchase next. In short, this type of data-driven decision making provides more fruitful results to businesses by enabling efficient planning and forecasting to help ensure revenue growth.

Personalized Customer Experience

Businesses are collecting lots of customer data from multiple digital channels, such as social media, e-commerce sites, etc. By extracting value from such raw data, businesses can set up customers’ profiles to extract better insights into their behaviors. This in turn can help in providing a more personalized customer experience. For example, a clothing brand can use customer engagement data along with sales data to pinpoint the products that customers are finding more interesting. Afterward, they can use those insights to provide targeted ad campaigns and even individually targeted promotions. This way, they are intelligently marketing their hit products to potential customers, ultimately helping to increase their sales revenue.

Data-Oriented Daily Operations

Data-based analytics have been around for years, but technological advancements have greatly reduced the analytics time, helping businesses to become more productive with their data. That’s why we see that many daily business operations today have been linked with data values, such as financial statistics, growth scale, customer engagement, web traffic, etc. Without accessing readily available data insights, business operations are less efficient and effective. 

New Opportunities of Growth 

There are many data analytics tools and services available in the market that can empower businesses to go further with their data insights. Beyond just sticking with present business-as-usual, such tools can open new growth opportunities for businesses by predicting what can be more profitable and yield long-term benefits. When global trends, customers’ response, and other factors are tuned via data analytics tools, businesses can forecast new opportunities. 

Wrapping Up

The present and future of data analytics is bright and broad for the business world. The amount of data businesses collect will only increase with every passing year and so will that data’s analysis. Therefore, allocating proper resources for extracting data value is as important as ensuring quality services. In a nutshell, a business making data-driven decisions is likely going to become more successful in a shorter timeframe than those that do not. 

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About Lee Kallett

was part of Keitaro