Data Analytics


Social Listening Publication

Brand leaders share top tips for scaling social intelligence

Synthesio expert shares social intelligence program best practices and mistakes to avoid .
Consumer Insights Publication

Future of Insights

Ipsos’ Future of Insights series examines the various ways the insight function is transforming and how to elevate its impact.
Coronavirus Publication

Ipsos Update - January 2022

We start the year with a look at the global public’s predictions for 2022 and the latest research on the key issues ahead, including inflation, living with Covid-19, and climate change.
Social Listening Publication

Building the business case for AI-enabled consumer intelligence

Social listening 2.0 is here. AI-enabled consumer intelligence solutions enable market research and insights pros to spot trends and stay ahead of the market.
Consumer Behaviour Publication

Harnessing the Power of Data

The third paper in our “Future of Insights” series explores how organisations are evolving to harness the power of data and technology for better insights.

AI-Enabled Consumer Intelligence is here

Forrester Spotlights AICI opportunity - and Synthesio's winning strategy
Social Listening Publication

Bringing the patient voice to the fore

Using social data to understand how to bring more empathy into the HCP-patient relationship in changing healthcare environments
Brands Event

[Webinar] Turning a Myriad of Data into Actionable Insights

At Ipsos, one of our core beliefs is that an abundance of data and information does not lead to an abundance of insight. And today, so much data is being generated every day that it has led social experts to argue that we live in an age of infobesity. On this webinar our dedicated curators at Ipsos show you how we navigate and utilize these existing and disparate data points to do what we love most: giving value to you, our clients.
Data Analytics Publication

[Ipsos Expert Series] Lies, Damned Lies, and Statistics

Data scientists everywhere are trying to make sense of the situation and predict what the future will look like. If we are taking action based on such data, how do we know the data is reliable?