Since 1960, this innovative company has been pushing the boundaries of automobile engineering, designing, and manufacturing top-of-the-line auto parts that have set the industry standard. With a passion for excellence and a commitment to quality, our client's cutting-edge creations are unmatched in the market.
Our client used a customer relationship management (CRM) system to manage customer interactions, get better customer insights, and effectively market products for better sales. However, the client faced constant challenges maintaining CRM data hygiene and managing large-volume data.
Challenges that needed immediate attention:
Analyzing the client challenges, we allocated a team of six dedicated data cleansing services experts to take over the project and deliver the desired outcomes. Here's how our team helped the client get access to accurate, up-to-date, and error-free CRM data.
One of the key challenges our team tackled was the presence of redundant entries in the CRM database. Due to the multiple sources of data, it was inevitable that duplicate entries existed. To address this issue, we employed data de-duplication techniques to identify and remove these duplicate entries, resulting in a clean, streamlined, and optimized CRM database.
Our team matched, merged, and unified customer records. Through manual and automated means, we were able to identify gaps in the database and leverage data enrichment and appending techniques to supplement the missing data points, primarily including email addresses, phone numbers, postal addresses, demographic information, full name, among other data points.
As customers often tend to change their phone numbers and email addresses, having access to the right contact details was critical to ensuring seamless communication and marketing efforts. As a result, we performed data validation & verification to identify incorrect contact details and replace them with relevant and correct information.
At the onset of our project, we were dealing with unstructured data. Since the data aggregated from diverse sources resulted in inconsistent data, our data experts used data standardization & normalization techniques to make data consistent and uniform across the, making it easier for the client to search, sort, and analyze data.
To discuss your business challenges, write to us at firstname.lastname@example.org, and we will get back to you..