Blog

Retail: Are you activating data quality management in your customer loyalty strategy?

Building customer loyalty means keeping in touch over the long term, and getting to know customers in order to better recognize them. Data quality management optimizes several levers of customer engagement by guaranteeing reliable and unified data, which fosters customer loyalty.

Centralize, unify, and qualify your data… A FAQ to clarify everything!

In an increasingly complex digital ecosystem, leveraging customer data requires that it be centralized, qualified and unified. How does this all add-up? Here’s an overview of the fundamentals in 6 key questions.

Defining qualified contact information for your organisation: where should you start?

Defining what constitutes a qualified contact data according to your company’s use cases is a crucial step. An overview of key considerations that fuel reflection for four professions – marketing, retail, customer service and CRM, data and digital professions.

Three data quality use cases your marketing department will love

Your marketing department’s objectives necessarily include seeking to make campaigns profitable, knowing customers well in order to properly communicate with them, and pushing qualified and reachable leads to the sales force. To meet these three challenges, it is imperative that you have reliable and actionable customer data.

How to boost your sales staff’s customer data culture through Data Quality

Data Quality helps advance the culture of customer data through two main strengths: the best practices it spreads and its compelling results.

Reduce effort in customer experience: customer data has a hand to play

CRM: 3 misconceptions behind the proliferation of duplicate data

Any customer database is prone to duplicates, with significant implications for clienteling, customer experience, and employee experience. Several common errors account for this phenomenon.

Banking and insurance: how data quality strengthens customer data collection

The truthfulness and accuracy of customer contact data is at stake as soon as it is entered! With real-time Data Quality, this step becomes reliable and fluid for customers and consultants in the branch.

4 best practices for making international customer data solidly reliable

An overview of 4 international Data Quality challenges to rely on customer data and provide a premium experience across all countries.