At Nielsen, we believe that our panels make our company stand out. We devote a great deal of time and resources to ensuring that our panels produce high-quality data. By combining big data with smaller data sets from carefully chosen and measured households, we believe that we provide a higher...
Radio continues to reach a large segment of Americans when they’re on the move, offering advertisers the ability to deliver the right message to the right audience at the right time.
The combination of data integration and data enrichment enables sophisticated analytics to produce effective, actionable business intelligence—intelligence that was previously locked away in different systems.
While some may equate data science as pulling rabbits from hats, this thinking is misguided. But this is largely because the vast majority of people don’t understand the workings of data science.
It’s not practical, feasible or necessarily a good idea to try measuring consumer behaviors by engaging with as many people as possible. That’s where sampling comes in.
Data science is the field of study that focuses on obtaining insights and information--anything of value--from data. Data science, when applied to different fields, can lead to incredible new insights for all business units.
You don't have to look far to see rapidly growing or already mature 'disruptors' in retail and manufacturing, but the long tail of market disruption goes way beyond that in today's age of consumer disloyalty.
The data generated by our day-to-day activities can help brands and marketers understand consumer needs and drive growth for their businesses. But first, they need to make sense of all the data.
The cloud can save enterprises time and money while improving agility and scalability, all of which are important factors you need in today’s competitive landscape.
AI is enabling companies to better understand how consumers are shopping, why they shop and most importantly, predict what consumers will buy in the future. This is fundamentally shifting how companies explore product development cycles, pricing models and understandings of how to change the minds...
Being able to measure in a way that fairly represents all races, ages, ethnicities and behaviors is crucial for the industry to transact with confidence. It’s also the only way to make sure that content choices reflect the diversity of a given station’s community.
Marketers today have more than enough data available to them, but they’re looking for better ways to use and connect their data sets to gain deeper, more valuable insights.
Many marketers know that machine learning and artificial intelligence will change how they do their job, but it’s still unclear exactly what will change and how fast. To get a glimpse of what the road ahead looks like, we asked a few of our data scientists to share what they think the biggest...