12/14/2021
Let’s face it, data veracity is a difficult thing to achieve for most modern businesses — but it doesn’t have to be. With the proper data collection methodologies and analytics platforms on your side, you can ensure all of your data is quality data. Here’s how 👇
First off, what is data veracity? In simple terms, it means how accurate or truthful your data is and how trustworthy the data source, type, and processing of it is. But there’s a lot more to it than that.
It's hard enough combining and analyzing quant/qual data from digital experience platforms, analytics, heat map and survey data, NPS, ESAT, CSAT, etc. for critical touchpoints. But then when you add customer and employee views to the mix, that's when biases can make an impact.
Overcoming the data veracity beast is almost impossible if your team isn’t invested in your business. That’s why one of the first steps we take when building any Customer Insights Map is running a gap analysis of the 3 Ps — people, processes and platforms.
But what is a gap analysis? It’s a way of assessing whether you have the right systems and software in place to gather the information needed, and whether your people are primed to receive the results.
Once you have a gap analysis under your belt, you can start building the engines required to map out experience scores across the journey. These include:
- CRM
- Website
- Mobile app
- Social media
- Email marketing
- SEM and SEO
- Data and analytics
- Other content
Yes, this kind of analysis requires a lot of heavy lifting, but it’s worth it in the long run. Finish off your countdown by trying it out for yourself ⮕ https://bit.ly/3rRZYyX