Data intelligence: understand how to use it in your business
Posted: Sun Dec 22, 2024 8:44 am
Data intelligence is the practice of collecting, analyzing and interpreting valuable information that can assist in strategic decision-making.
In other words, it’s the process that transforms raw data into the pieces you need to complete your business puzzle.
Have you ever stopped to think about how much data your company generates daily?
Leads, customer interactions, sales metrics… All of this data is essential to revealing opportunities and optimizing processes.
Where to start and how to apply data intelligence to your business
If you’re not yet using data intelligence in your uk email address list business, the good news is that getting started isn’t as complicated as it may seem. The first step is to gather the data your company already has. This could include sales, CRM , marketing, and even customer feedback data.
Next, you need to choose the right tools to analyze this data. Platforms like Econodata offer a range of solutions that make it easy to collect and analyze data in an intuitive way.
Finally, you must create a data-driven culture within your company, encouraging all employees to make decisions based on accurate information.
How does data intelligence work in day-to-day sales?
Imagine you have a huge jigsaw puzzle with thousands of pieces. Some seem to fit together, others don't seem to make sense at first glance.
Now, think of the data generated by your company as these pieces. On their own, they may seem disconnected, but with data intelligence, you can put the puzzle together and see the complete picture: the opportunities and paths that will guide your business to success.
When we talk about B2B sales , data intelligence translates into a significant competitive advantage.
You can use this data to predict behavior, identify purchasing patterns, and even personalize sales approaches.
Imagine being able to know which leads are most likely to close a deal or when is the best time to contact them? These are examples of how data intelligence helps complete your company’s sales puzzle.
If you use a platform like Econodata, you can access complete data about companies and their decision-makers, making it easier to prospect qualified leads.
Watch a free demo of the Econodata platform and discover how to use data intelligence in your prospecting .
The main advantages of data intelligence
Here are some of the main benefits of implementing data intelligence in your business:
Data-driven decision making: Instead of relying on “gut feeling,” you base your choices on hard facts and figures, fitting the right pieces together to see the bigger picture.
Identifying Opportunities: Finding untapped markets or leads that have gone unnoticed becomes easier when you have access to accurate data – like discovering that key missing piece of the puzzle.
Improving customer experience: With data in hand, it is possible to offer a more personalized and efficient experience for your customer, creating a tailored solution.
Increased operational efficiency: Data allows you to identify bottlenecks in the sales process and optimize them so your team works more efficiently, such as adjusting the pieces so that everything fits together perfectly.
Practical examples of data intelligence in B2B sales
Let's make this more concrete with some practical examples:
Market segmentation : With data intelligence, you can segment your lead base much more accurately. By using Econodata’s Decision Maker Organization Chart tool , for example, you can identify who the real decision makers are within a company, saving time and increasing your chances of success – such as finding the right pieces to fit in the right place.
Trend prediction: Based on purchase history, you can predict which products or services your customers are likely to buy in the future, allowing your sales team to stay one step ahead. It’s like having an early look at what the final puzzle will look like.
Improved closing rates: By analyzing performance data, you can identify which sales pitches and strategies are working best with each customer segment, helping you tailor the right approach at the right time.
Want to improve your lead segmentation and increase your closing rates? Check out a free demo of Econodata’s features right now .
Impact of data intelligence on B2B sales operations
Below we list some statistics and studies that demonstrate the impact of data intelligence on B2B sales operations. They are:
Increased sales with the use of data A McKinsey
study reveals that companies that use data intelligence in their sales operations achieve a 15% to 20% increase in sales productivity . This is due to the use of more accurate information for customer segmentation and personalization of approaches.
Improved customer retention
According to a survey by Forbes Insights , 53% of companies that adopted data intelligence strategies reported a significant improvement in customer retention . This is because the use of data allows for greater personalization in customer service, increasing customer satisfaction and loyalty.
More accurate sales forecasting
Harvard Business Review points out that companies that use big data and analytics have up to 25% greater accuracy in sales forecasting . Data intelligence helps identify purchasing patterns and behaviors, allowing for more efficient and assertive forecasting.
Growing adoption of data intelligence tools
A report by Deloitte highlights that 67% of B2B companies are already using advanced analytics solutions to guide their sales strategies. This number is expected to grow to 85% in the next two years, reinforcing the trend of mass adoption of these technologies.
The impact of data on purchasing decisions
According to Gartner , 77% of B2B buyers say their last purchasing process was complex due to information overload . This shows that data intelligence, when applied well, helps sales teams simplify the decision-making process for customers by providing the right data at the right time.
This data clearly shows that the use of data intelligence in B2B sales operations is not just a trend, but a practice that offers measurable results, such as increased sales, better customer retention, and more accurate forecasts. We hope this article helps you understand this topic better.
In other words, it’s the process that transforms raw data into the pieces you need to complete your business puzzle.
Have you ever stopped to think about how much data your company generates daily?
Leads, customer interactions, sales metrics… All of this data is essential to revealing opportunities and optimizing processes.
Where to start and how to apply data intelligence to your business
If you’re not yet using data intelligence in your uk email address list business, the good news is that getting started isn’t as complicated as it may seem. The first step is to gather the data your company already has. This could include sales, CRM , marketing, and even customer feedback data.
Next, you need to choose the right tools to analyze this data. Platforms like Econodata offer a range of solutions that make it easy to collect and analyze data in an intuitive way.
Finally, you must create a data-driven culture within your company, encouraging all employees to make decisions based on accurate information.
How does data intelligence work in day-to-day sales?
Imagine you have a huge jigsaw puzzle with thousands of pieces. Some seem to fit together, others don't seem to make sense at first glance.
Now, think of the data generated by your company as these pieces. On their own, they may seem disconnected, but with data intelligence, you can put the puzzle together and see the complete picture: the opportunities and paths that will guide your business to success.
When we talk about B2B sales , data intelligence translates into a significant competitive advantage.
You can use this data to predict behavior, identify purchasing patterns, and even personalize sales approaches.
Imagine being able to know which leads are most likely to close a deal or when is the best time to contact them? These are examples of how data intelligence helps complete your company’s sales puzzle.
If you use a platform like Econodata, you can access complete data about companies and their decision-makers, making it easier to prospect qualified leads.
Watch a free demo of the Econodata platform and discover how to use data intelligence in your prospecting .
The main advantages of data intelligence
Here are some of the main benefits of implementing data intelligence in your business:
Data-driven decision making: Instead of relying on “gut feeling,” you base your choices on hard facts and figures, fitting the right pieces together to see the bigger picture.
Identifying Opportunities: Finding untapped markets or leads that have gone unnoticed becomes easier when you have access to accurate data – like discovering that key missing piece of the puzzle.
Improving customer experience: With data in hand, it is possible to offer a more personalized and efficient experience for your customer, creating a tailored solution.
Increased operational efficiency: Data allows you to identify bottlenecks in the sales process and optimize them so your team works more efficiently, such as adjusting the pieces so that everything fits together perfectly.
Practical examples of data intelligence in B2B sales
Let's make this more concrete with some practical examples:
Market segmentation : With data intelligence, you can segment your lead base much more accurately. By using Econodata’s Decision Maker Organization Chart tool , for example, you can identify who the real decision makers are within a company, saving time and increasing your chances of success – such as finding the right pieces to fit in the right place.
Trend prediction: Based on purchase history, you can predict which products or services your customers are likely to buy in the future, allowing your sales team to stay one step ahead. It’s like having an early look at what the final puzzle will look like.
Improved closing rates: By analyzing performance data, you can identify which sales pitches and strategies are working best with each customer segment, helping you tailor the right approach at the right time.
Want to improve your lead segmentation and increase your closing rates? Check out a free demo of Econodata’s features right now .
Impact of data intelligence on B2B sales operations
Below we list some statistics and studies that demonstrate the impact of data intelligence on B2B sales operations. They are:
Increased sales with the use of data A McKinsey
study reveals that companies that use data intelligence in their sales operations achieve a 15% to 20% increase in sales productivity . This is due to the use of more accurate information for customer segmentation and personalization of approaches.
Improved customer retention
According to a survey by Forbes Insights , 53% of companies that adopted data intelligence strategies reported a significant improvement in customer retention . This is because the use of data allows for greater personalization in customer service, increasing customer satisfaction and loyalty.
More accurate sales forecasting
Harvard Business Review points out that companies that use big data and analytics have up to 25% greater accuracy in sales forecasting . Data intelligence helps identify purchasing patterns and behaviors, allowing for more efficient and assertive forecasting.
Growing adoption of data intelligence tools
A report by Deloitte highlights that 67% of B2B companies are already using advanced analytics solutions to guide their sales strategies. This number is expected to grow to 85% in the next two years, reinforcing the trend of mass adoption of these technologies.
The impact of data on purchasing decisions
According to Gartner , 77% of B2B buyers say their last purchasing process was complex due to information overload . This shows that data intelligence, when applied well, helps sales teams simplify the decision-making process for customers by providing the right data at the right time.
This data clearly shows that the use of data intelligence in B2B sales operations is not just a trend, but a practice that offers measurable results, such as increased sales, better customer retention, and more accurate forecasts. We hope this article helps you understand this topic better.