7 resolutions to keep in 2024 to boost your business

In 2024, Data can make or break your sales performance. We're convinced of it. To pave the way to engagement, lead generation, conversion and sales, we've prepared your 7 Data resolutions for this year... and we're going to guide you to honor them

Case study: the impact of Data Quality on return rates and refund claims

data quality

For a successful e-commerce business, the "data quality" of customer data is a decisive factor in the fluidity of processes and sales performance... all the more so if the databases are fed by a lead generation strategy.
In this article, Data Enso looks back at the experience of our customer, an online boutique specializing in the sale of clothing and accessories, which saw a significant increase in its lead rates.

Double authentication: the benefits of Data Quality Management (DQM) solutions

double authentication

Since its appearance in the 1980s with security tokens, double authentication has made its way into our daily lives, with our smartphones and e-mail addresses as the main levers.
While the benefits of 2FA are undeniable (it reduces the risk of account piracy by 99%), its implementation must be preceded by a state-of-the-art Data Quality Management policy.
Once upon a time, double authentication

E-commerce and Black Friday: how Data can put your sales on ORBITE!

black friday

In the space of a decade, France has gone from being a distant observer of the Black Friday frenzy to a major European player in this commercial effervescence.
While for consumers, the last week of November is synonymous with irresistible offers, for retailers it represents a colossal logistical and operational challenge... while at the same time providing an opportunity to maximize sales in November before the holiday season, to round off the year in style.
Among

Why qualify your database?

Data is a decisive catalyst for performance, provided it is accurate, useful, relevant and reliable, so as to streamline decision-making. And this is where data qualification comes in, a continuous and rigorous process that enables the data contained in a DB to be evaluated, verified and validated in several key stages, from identifying the data most relevant to the business, to updating and enriching it.