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💭 Data Enrichment: A Complete Introduction | XS’ Issue #36



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💭 Data Enrichment: A Complete Introduction | XS’ Issue #36
By Esat from Experience Stack • Issue #36 • View online

What Is Data Enrichment
Data enrichment is the process of adding additional information to data that already exists. This can be done in a number of ways but usually involves either supplementing existing data with new data from external sources or connecting multiple data sets together to provide a more complete picture.
There are a few different methods that can be used for data enrichment, including:
  • Adding new data from external sources: This can be done by incorporating data from public sources, such as demographic data from the census.
  • Connecting multiple data sets: This can be done by linking together data sets that contain complementary information. For example, connecting a customer’s purchase history with their demographic information can provide insights into what types of products they are most likely to buy.
  • Generating new features: This involves creating new features from existing data that can be used to better understand the relationships between variables. For example, creating a “location” feature from a customer’s zip code can help identify patterns in customer behavior.
Why Is Data Enrichment Important
As businesses increasingly rely on data to drive decision-making, it’s more important than ever to ensure that this data is of the highest quality. Data enrichment is a process of augmenting data sets with additional information, typically from external sources, in order to improve their usefulness.
There are many potential benefits of data enrichment, including:
  • improved accuracy and completeness of data
  • better insights thanks to a broader range of information
  • reduced reliance on manual processes
What Is the Data Enrichment Process
There are many ways to collect data, but the process of data enrichment is relatively uniform.
First, data is collected from various sources. This can be done manually, through surveys or other research forms, or gathered automatically through sensors or other devices.
Once the data is collected, it is then cleansed and processed to ensure that it is accurate and consistent. This step is critical to ensuring that the data is useful for further analysis.
Once the data is cleansed, it can then be enriched. This involves adding additional information to the data that can be used to help understand it better. For example, if the data includes a list of addresses, this information could be enriched by adding GPS coordinates or demographic information about the area. This step can also involve adding metadata to the data, which can be used to describe the data or provide additional context.
Finally, the enriched data is stored in a central location so it can be accessed and analyzed as needed. This step is important to ensure that the data is accessible and usable for further analysis and decision-making.
The process of data enrichment is an important part of ensuring that data is accurate and useful for further analysis. By cleansing and enriching data, organizations can make sure that they are making decisions based on accurate and complete information.
Rounding Up the Stack
Each week, we try to read, listen to, and watch tens of blog posts (if not more than a hundred), guides, podcasts, videos, webinars, and any means of content to deliver you the best content from the last week.
These are the content from last week that we enjoyed reading and caught our attention:
Blog Posts
  • The Realities of Modern Personalization
Anyone who’s worked with personalization knows that it’s great in theory, but very difficult to succeed at in practice. Typically, there are both organizational and technical factors at play, leading to friction and frustration:
  • How do APIs Work: A Beginner’s Guide
Let’s take a look at what are APIs, how they work and, what kind of different APIs exist. You will learn also its benefits and the advantages of each:
  • How to Use Unique Customer Identifiers
Unique customer identifiers consolidate all customer information and touchpoints into a single profile, so that you can engage with your customers in a more meaningful way:
  • 5 Customer Segmentation Methods to Understand Purchasers
Use customer segmentation to understand your purchasers and develop more effective sales, marketing, and personalization strategies.
  • How to Maximize the Time to Value of a Customer Data Platform
Just like any SaaS platform, it’s important to follow best practices to maximize the return on your investment and minimize the time spent realizing it. Here are four steps you can follow to get the most out of your customer data platform:
Podcast Episodes
This episode features an interview with Pepe Valiente, Senior Management Consultant at IBM Garage. Pepe discusses why digital transformations fail, how our brains react to personalization, and why simplicity is key to customer experience:
Good Data, Better Marketing
Good Data, Better Marketing
Videos and Webinars
  • How to Optimize Free Trial Models
How to Optimize Free Trial Models | David Axler
How to Optimize Free Trial Models | David Axler
Guides, Case Studies, and Reports
  • How to Increase Conversion Rates with A/B Testing
In this post, you’ll take a look at what A/B testing is and how you can use it to boost your bottom line. You’ll also have some tips for getting started with A/B testing:
Upcoming Events and Webinars
  • The Role of Content in Customer Satisfaction
Attend this webinar with Forrester analyst Lisa Gately to learn:
  • Key content challenges affecting B2B organizations today
  • Critical capabilities you need to drive customer engagement and satisfaction
  • Best practices for improving efficiencies and how this directly supports meeting and exceeding customers’ content needs
Thursday, September 22 at 11 am PT / 2 pm ET
That’s it from our side.
Hope you’ll enjoy the content presented above.
Please let us know if you have any questions, comments, or feedback. Don’t hesitate to reach out to us by replying to one of the emails or emailing directly to me via [email protected]
And, if you think your friends or colleagues might enjoy reading this newsletter, feel free to forward it to them 🤗
Till next time 😉
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