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Relation Between Data and Business Using For Actionable Insights

Posted by Errin O'Connor on Aug, 10, 2021 06:08

Relation Between Data and Business Using For Actionable Insights

Our data is the heartbeat of our business. It’s vital to know how your data is changing and how it’s affecting your business performance. But many organizations don’t take the time to analyze their data. You’ll find that using actionable insights can help your business make better decisions and increase revenue. Read more.

What is Data?

In today’s digital age, where data has become a crucial factor in the success of any business, the importance of accurate and effective data management cannot be underestimated. Data is the new oil. It is the fuel that drives the engines of modern technology. It is used to provide an overview of the day-to-day activity and provide valuable insights to business leaders and help them make smarter decisions and achieve continuous growth in their business.  

The success of a data-driven process is not measured in the quantity of data you collect but the amount of value you derive from it. What is the most important data in your organization? The data that delivers results that provide a competitive advantage. Moreover, with the new DAaaS (Data Analytics As a Service)concept, organizations are treating data as gold mine of information about their business.

Big Data Uses

Is Data a Valuable Tool for Businesses?

Anyone who has spent time in the business world knows that data is a valuable tool to help you make decisions on the go. But, what is data, and how do you use it to help you? Data can be defined as any recorded data, which can include facts, figures, or numerical values. Regardless of the form it takes, data is integral to your business because it signifies information about your company and how it can be used to make informed decisions.

But, there are many things we don’t know about data, including how to properly interpret it and use it to drive our businesses forward. However, using actionable insights to make better decisions is more important than ever in today’s data-driven world.

How would you know if it is not valuable?  

Businesses are in a constant race against time to mine and analyze all the data they can to see what the future holds and make the most of their information. The data collected serves as a source of intelligence for the business, which can be used to make better decisions using predictive analytics consulting and increase revenue. Yet, not all data is created equal, and there is a difference between what is valuable to your business and what is not. In order to find the best use of data, it’s important to understand its value.

What are Actionable Insights?

Actionable Insights

Actionable insights (AI) are the foundation of a new way of doing business. They are new knowledge that can be used to make decisions that can help a business grow and improve. AI is defined as “the creation of a model that can learn from data to make predictions or decisions on its own.”

The actionable insights are a new generation of data, combining information from different sources. They are a result of data enrichment and the combination of many sources. Actionable insights are generated from many sources in different formats, including text, numbers, charts, graphs, products, and images.

The concept of actionable insights is a new one in business. It states that the only way to get better insights is through actionable results, not just knowledge. This idea is based on the old saying, “if you don’t use it, you lose it.”

Why Should We Use the Actionable Insights?

By using actionable insights, one can learn about the real value of the data. This leads to understanding what marketing activities are the most effective ones for the business to use. It also helps to improve the operations by increasing customer satisfaction and reducing marketing efforts. This will help to increase the profits while cutting down the cost of marketing.

How are data, business, and actionable insights connected to each other?

Your business’ historical data and real-time data are the lifeblood of your company. It dictates the type of products and services you can offer, and it also defines the customers you can serve. What you don’t know can hurt you. Unfortunately, many companies “trust” their data blindly, leaving them vulnerable to cyber-attacks. Fortunately, it’s easy to get a handle on your data. By using data visualizations tools, you can simplify the data into powerful, actionable insights.

The term “data” conjures up images of tables and spreadsheets. But businesses have become increasingly data-driven over the past few years. One of the keys to using data effectively is using actionable insights. Actionable insights are the ways that you can connect data with business goals to create value in your organization.

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What are the strategies that you can use to turn data into actionable insight?

Data is all around us. And its importance has multiplied as we have harnessed it to gain a better understanding of our world. Yet, not all data is created equal. Only by analyzing the right data can you gain the insights that drive business value. The good news is that the right data can come from a number of sources, including customer interactions, business application logs, and even social media.

Here are the following strategies to convert data into actionable insights:

Data Collection

Gather data and analyze it in the right way. It is often said that the right data set is the key to turning data into actionable insights. The right data set for the right analysis can make all the difference in the world. Ensuring that you have the right data set for the right analysis can be an easy feat if you know data quality management best practices. This can be difficult to accomplish and is often the cause of many analysis and data science errors.

Use right BI tool

Power BI Logo

Be familiar with the patterns. In data-driven decision-making, the goal is to understand the data to be able to make a decision quickly and take action quickly. This means that when one is working in data-driven decision-making, one must be able to recognize patterns, data trends, connections, and relationships to be able to make the right decision with the data. You can go for Power BI Consulting experts to help you implement Microsoft BI Solution as a data analytics tool.

Share Business Intelligence reports

Learn to communicate the insights to your team with business intelligence reports. When you include the ability to communicate insights verbally, teams are able to take action faster than when they must rely solely on written reports. This is because shared ideas and concerns during a meeting are more likely to result in more action than written ones.

Testing

Take a rest. The battle between data and business is a constant one. And the outcome can only be determined by how you organize, present, and interpret the data. But which is better: data or action? That depends on the context. But the answer is obvious: data in action.

Use Predictive Analytics

Make logical predictions. Predictions are hard and are often just as complicated as trying to make sense of data. With so many available tools to collect, analyze and visualize data today, the challenge is how to turn them into actionable insights for your organization, which can drive business results. And you need to be good at making those predictions. Logic Prediction is a novel approach to transform data into actionable insights.

It enables you to make predictions that can generate actions, manage uncertainty, and drive profitable business results. The general consensus among data scientists, analysts, and business managers is that the more data you have, the better. And to a certain extent, this is true; in general, the more data you have, the better the insights you are able to extract from it, and the more actionable those insights are. But it is important to note that different types of data have different implications for different types of insights.

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Errin O'Connor
About the Author

Errin O'Connor

With over 25 years of experience in Information Technology and Management Consulting, Errin O’Connor has led hundreds of large-scale enterprise implementations from Business Intelligence, Power BI, Office 365, SharePoint, Exchange, IT Security, Azure and Hybrid Cloud efforts for over 165 Fortune 500 companies.

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