Dancing Around Dirty Data

Dancing Around Dirty Data

While you might have all your ducks in a row for a flawless QTC implementation, having unclean data in your system is more than enough to put your entire implementation at risk. In fact, the lack of data readiness checks and inadequate testing are two of the major reasons for implementations failing.

Data stored in silos can be of different formats which are not easy to use. While integrating many such systems together, the inconsistencies in data formats can make the reading and flow of data from one system to another very difficult.

This is why it is extremely important to clean data before a QTC implementation. Data cleaning identifies and fixes incorrect, incomplete, inaccurate, and irrelevant data.

This ensures that the data in the system is able to yield faster and accurate information which translates into better and intelligent decision-making.

The outcome of this is fair and simple:

Streamlined Business Processes

With an accurate flow of data, Sales Reps get access to accurate quotes. This means they don’t have to waste time going back and forth re-doing their quotes. Their time is saved, and the sales cycle is reduced.

Increased Productivity

With a reduced sales cycle and more time on their hands, Sales Reps can focus less on administrative tasks and more on value-added tasks, enriching their customer’s buying journey.

Enhanced Customer Experience

With access to accurate data from the ERP and CRM, Sales Reps can look at the customer’s purchase history and suggest suitable add-ons. They’ll also be able to provide discounts instantly without having to go back for approvals.

Hence it is evident. In this digital economy, each touchpoint with a customer generates a lot of data. It is not just important to capture this data but is also equally important to process this data in the right way to get business insights. Data-driven insights help with highly relevant, personalized interactions including pricing, discounting and cross-selling, and upselling, thereby enriching the overall customer experience.

Just like unclean data, there are several other reasons that put a QTC project at risk. You can read all about that in my best-selling book Reimagine Enterprise Sales System on Amazon.

To know more about the book and to grab a copy of it, click here: https://www.protikm.com/book_reimagine-enterprise-sales-system/

Dancing Around Dirty Data

Dancing Around Dirty Data