Enhance
Refine &
Optimize
At ResoluteB2B, we offer Data Enrichment services that enhance raw data, refine its accuracy, and optimize it to drive smarter decisions and better business performance.

Data Enrichment
As the name indicates, data enrichment is the process of expanding your database and enriching it with information that helps you nurture and eventually convert prospects into leads. It gives you the power to answer questions about your products or services, and that of the market. Moreover, an enhanced database also aids in personalizing communication for prospects. In a nutshell, data enrichment helps you work smarter. But, undertaking the detailed and continuously evolving task of data enrichment is difficult. This is where we come in.
At Resolute B2B, our team of experts analyze your existing database, if any, and also your needs. We refer to established and trusted data sources to enhance and/or create a database for you. We also automate lead scoring to reduce the chances of discrepancies. Identifying smart and efficient ways to grow and retain your customer base is crucial for any business. So, we do just that for you.
Our Data Enrichment Process
Identify The Problem
Knowing why you need to enrich existing data is a crucial step of the entire process. This will help determine which kind of data will be more valuable after collection.
Define Data Collection Methods
Identify appropriate technologies and processes for data collection and enrichment. At this point, we pay attention to data fragmentation as well.
Check Data Quality
Even the most sophisticated algorithms cannot work if the quality of data is not up-to-mark. We conduct frequent quality checks to ensure that the database is error-free.
Maintain Data Consistency
Since we aggregate data from various sources, we format it to eliminate any possible inconsistencies.
Data Cleansing
Once data is collected, we carry out data cleansing wherein we identify and remedy incomplete, inaccurate or irrelevant information. This helps us provide you with the highest quality data.
Decomposing & Discretizing
For easier understanding, we decompose data into multiple simpler sections. Alternatively, we discretize it, converting specific numerical attributes into categorical kinds.
Merge Transactional and Attribute Data
Transactional data captures specific moments whereas attribute data is something that is permanent. We merge the two to facilitate better predictions.
Data Normalization
In this step we improve the quality of the database by reducing the dimensions. This way we avoid a scenario where one attribute may outweigh another.
Creating sustainable impact for firm with long term vision since it’s establishment
Company Mission
We ensure seamless operations, and drive long-term business growth through strategic planning and innovation.
Company objective
We foster adaptability, and develop strategies that optimize business efficiency while ensuring continuous progress.

