Data Enhancement for Business Success

Author

Posted Oct 23, 2024

Reads 1.1K

An artist's illustration of artificial intelligence (AI). This image represents storage of collected data in AI. It was created by Wes Cockx as part of the Visualising AI project launched ...
Credit: pexels.com, An artist's illustration of artificial intelligence (AI). This image represents storage of collected data in AI. It was created by Wes Cockx as part of the Visualising AI project launched ...

Data enhancement is a game-changer for businesses, and here's why: it can increase revenue by up to 25%. By refining and enriching existing data, you can make more informed decisions and stay ahead of the competition.

Having high-quality data is essential for business success, and it's not just about having more data. The average company has 25% of its data sitting in silos, making it difficult to access and use. This can lead to missed opportunities and lost revenue.

With data enhancement, you can break down these silos and create a unified view of your customers. For example, by combining data from multiple sources, you can create a 360-degree customer profile, revealing valuable insights and preferences. This can lead to more targeted marketing, improved customer experiences, and ultimately, increased revenue.

On a similar theme: Lead Data Enrichment

What Is It and How Does It Help?

Data enhancement is a process that starts with your existing database and lists, adding valuable data to help qualify and close more leads. It's like filling in the gaps in your data, giving you new customer insights.

Credit: youtube.com, What is Data Enhancement

Data enhancement can include information like addresses for direct mail, which can be super helpful for marketers and sales teams. This can help you reach your target audience more effectively.

Additional call list data, such as mobile phone numbers and contactability scores, can also be added through data enhancement. This can give you a better idea of who's most likely to respond to your calls.

Demographic data for audience segmentation is another valuable addition. This can help you tailor your marketing efforts to specific groups, making them more effective.

Data enhancement fills in the gaps in your data, giving you a more complete picture of your audience. This can help you make more informed decisions and close more business.

Benefits of Data Enhancement

Data enhancement can save you a significant amount of time, especially when trying to capture data about your prospects organically. This process can take quite some time and provides little information about prospects who haven't engaged with your brand yet.

Credit: youtube.com, Data Enhancement: What are the Benefits and Why Businesses Should Use AI for It

Investing in data enhancement can also lead to cost savings. By verifying the accuracy and responsiveness of appended data, you're less likely to send communications to email addresses, phone numbers, and home addresses that won't yield a response.

Data enhancement doesn't replace your current records – it enhances them. If you have internal records with missing contact information, you can supplement those records and finally be able to connect with those prospects.

With data enhancement, you can tap into new markets and reach prospective customers within that new segment. This can be especially helpful when expanding into a new geographic area.

Data enhancement can also help you understand your target audience better. By appending new data assets to your existing customer base, you can gain insights into what factors most influence success for your team.

Here are some of the key benefits of data enhancement:

  • Time savings: Capturing data about your prospects organically can take quite some time
  • Cost savings: Verified data reduces the risk of sending communications to unresponsive contacts
  • Maximized internal records: Data enrichment supplements missing contact information
  • Growth potential: Reach new markets and tap into new customer segments
  • Increased understanding of your audience: Gain insights into what factors influence success
  • Improved customer experience: Send personalized communications that are relevant and valuable

Data Enhancement Methods

Data Enhancement Methods can be categorized into two main types: Phone Appends and Email Appends. Phone Appends involve adding phone numbers to incomplete customer records using existing customer information, while Email Appends involve appending missing email addresses to incomplete records or updating existing ones.

Expand your knowledge: Marketing Data Enrichment

Credit: youtube.com, Unlock the Power of Data Enhancement: Transform Your Data for Better AI!

Standard Phone Append is a process that allows you to add phone numbers to incomplete customer records using the customer information you already have. This process can be particularly useful for organizations looking to power a successful fundraising campaign, like a political organization looking to raise money for an upcoming text-to-give campaign.

Reverse Phone Append is another process that uses existing customer phone numbers to obtain other pieces of information, such as customer names and email addresses. This process can be used to learn more about your customers and acquire valuable information.

Standard Email Append is a process that allows you to append missing email addresses to incomplete customer records or update existing ones. This process can be used to keep your email marketing campaigns effective and engaging.

Reverse Email Append is a process that uses email address data to learn more about your customers and acquire information like customer names and phone numbers. This process can be used to respect your audience's wishes regarding direct marketing solicitations.

Data Enrichment is another method of data enhancement that involves supplementing your current database with external information to provide additional context and value. This process can be used to fill in the missing gaps or source entirely new data points.

Credit: youtube.com, Training workflow: Data Enhancement - Seismic Feature Enhancement

Here are some examples of how data enrichment can be used to expand the potential of your database:

Data Enhancement Tools and Services

Data enhancement tools and services can be a game-changer for businesses looking to improve their marketing efforts. Data enhancement solutions help aggregators maintain high-performing data quality for their clients, ensuring that customer data is accurate and up-to-date.

Customer data deteriorates at a rate of 30% per year, making it essential to verify and validate information regularly. Data enhancement solution providers ensure quality through constant checks on data hygiene, validation, verification, deduplication, and cross-checking against different sources.

To choose the right data enhancement tool, consider the following factors: integration with your tech stack, data coverage, feature set, and affordability. A good tool should link to your current CRM, access dozens of databases, combine enhancement and enrichment features, and fit your budget.

Here are some key features to look for in a data enhancement tool:

Data appending and enhancement services, like those offered by Deep Sync, allow brands to gain meaningful insights into their existing customers. This added information can power online and offline segmentation and personalization efforts, enabling you to send highly relevant communications to your most valued customers.

Credit: youtube.com, AccuZIP Data Enhancement Services

Working with a provider that specializes in data enhancement is crucial. They can give your team access to a variety of data assets, validate any data assets prior to appending them to your database, provide data hygiene services, and lend data marketing expertise to help guide data usage in your campaigns.

Data Enhancement Best Practices

Data enhancement is crucial for maintaining high-performing data quality, as business contact and company data change rapidly, leading to data decay and stale data. Customer data deteriorates at the rate of 30% per year.

To ensure data quality, it's essential to constantly verify and validate data for authenticity, which can be a challenge, especially for private and small companies. Incomplete, inaccurate, non-standardized, unstructured, and irrelevant data can negatively impact the reputation of data aggregators.

Data enhancement solution providers ensure quality through constant checks on data hygiene, including validation, verification, deduplication, and cross-checks against different sources. They also enrich data by adding accurate missing information.

Credit: youtube.com, Data Enhancement Capabilities of FireCMS

Before enhancing or enriching your data, it's crucial to audit your database to identify inconsistencies and discover what type of process you need. You might find that you lack information for achieving your objective.

Here are the best practices for using data enrichment and enhancement:

  • Define your goals and outline what you want to achieve with data enhancement and enrichment.
  • Audit your database to identify inconsistencies and discover what type of process you need.
  • Format your data first, and then enrich it, so that everything fits together smoothly.
  • Choose reliable sources when searching for data to ensure that you're using valid and high-quality information.
  • Continually enhance and enrich your data to keep your team up-to-date with fresh and relevant insights.

Data enrichment tools can simplify and streamline the process, making it easier to verify, correct, and append your data. These tools often rely on machine learning and artificial intelligence to make the processes faster and more accurate.

To maintain data hygiene, create ongoing data hygiene procedures, including standardization of data entry, handling errors, and preventing data build-up. This will prevent a mass clean-up down the line and ensure that your team understands the importance of maintaining clean data.

Data Enhancement Techniques

Data enhancement solutions use technology-enabled techniques to ensure high-performing data quality for clients.

Business contact and company data change rapidly, leading to data decay and stale data.

Credit: youtube.com, OpendTect Technology Webinar: Data enhancement - a short demo of attributes, filters, testing and QC

Validation is a key technique used to verify the authenticity of information.

Data collected from multiple sources needs authentication and standardization.

Verification is another important technique that helps ensure data accuracy.

Even a minor mistake can cause major data inaccuracies.

Data enhancement solution providers use web scrapers and crawlers to acquire relevant data.

This helps enrich the data by adding accurate missing information.

Data needs to be constantly checked for hygiene through validation, verification, deduplication, and cross-checks against different sources.

This process helps identify and correct incomplete, inaccurate, non-standardized, unstructured, and irrelevant data.

Data Enhancement for Specific Industries

Data enhancement can be particularly valuable for specific industries, such as real estate and finance, where demographic data can help you better understand your customer base.

For real estate, appending demographic data like age, income range, and marital status can help you target marketing efforts to specific segments, such as families or young professionals.

You can also leverage geocoding to target marketing efforts to specific geographic areas, like a particular neighborhood or city.

Here are some examples of demographic data points that can be appended:

  • Age
  • Gender
  • Education
  • Income Range
  • Marital Status
  • Presence of Children
  • Occupation
  • Hobbies
  • Interests

This data can help you create targeted marketing campaigns that speak directly to the needs and interests of your customers, increasing the effectiveness of your marketing efforts.

Healthcare Orgs: A Guide

Credit: youtube.com, Power of AI in Care Management: A Strategic Guide for Healthcare Leaders

Data Enhancement for Healthcare Orgs is crucial. Healthcare organizations need to focus on data governance to ensure the accuracy and reliability of their customer data.

Data governance takes on a new meaning for healthcare organizations. It's not just about following rules, but about creating a culture that values data quality and integrity.

Snowflake's Modern Marketing Data Stack report identified Deep Sync as a leader in Enrichment & Hygiene for using deterministic identity spines to enhance and unify customer data. This approach can be applied to healthcare organizations to improve their data governance.

Healthcare organizations can learn from the success of companies like Deep Sync, which uses deterministic identity spines to clean and unify customer data. This can help healthcare organizations achieve better data governance and improve their overall operations.

Customer Service Use Cases

You can power cross-channel initiatives with the addition of new and updated contact details. This allows you to reach your customers in a more cohesive and effective way.

Credit: youtube.com, How to Use AI and Financial Services Cloud To Autofill Responses in Real-Time | Salesforce Explained

Data appending and enhancement enable you to gain meaningful insights into your existing customers, which can inform future third-party audience purchases for more effective prospect targeting.

Identify cross-sell and upsell opportunities with a better understanding of your customers and their needs. This can lead to increased revenue and customer satisfaction.

Develop customer segments and apply personalization to speak to your audience in a meaningful, relevant way. With thousands of attributes to choose from, you can tailor your communications to resonate with your most valued customers.

Frequently Asked Questions

Which of the following are examples of data enhancement?

Data enhancement involves adding or correcting information to improve data accuracy and completeness. Examples include adding phone numbers, mailing addresses, or other relevant details to customer records.

Keith Marchal

Senior Writer

Keith Marchal is a passionate writer who has been sharing his thoughts and experiences on his personal blog for more than a decade. He is known for his engaging storytelling style and insightful commentary on a wide range of topics, including travel, food, technology, and culture. With a keen eye for detail and a deep appreciation for the power of words, Keith's writing has captivated readers all around the world.

Love What You Read? Stay Updated!

Join our community for insights, tips, and more.