Combating the Long Tail with Data Science
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 Science to Make Sense of Big Data
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.
Quality Data Equals Truth Sets, and Nothing Less
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...
Truly Open or Simply Ajar
At Nielsen, we have a clear view of open, one that is not ajar or a “bit more open.” To us, open means exactly that—open. We define open as the ability to use different parties and types of data, models to enrich and applications to consume and take action.
6 Reasons Why Marketers Need Granular Measurement
Granularity matters to marketers because it gives them the ability to distill huge chunks of marketing activity so that you can understand the smaller components.
Data-Driven Marketing is in the Details
With so many DMP vendors fighting to stand out, it’s no surprise that many marketers aren’t able to truly differentiate the competing solutions. And to be fair, from an eagle’s eye view, I don’t know that there is a way to.
Achieving Ambitious Outcomes with Data Science
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.
Retail Q&A: Why Retailers Can’t Afford to Ignore Analytics
Digital adoption is sweeping the globe. The uptake of mobile devices and increasing access to the internet have huge ramifications for businesses in all industries. Retailers can’t afford to ignore this new reality.
Trust, Velocity and Inclusivity in Data for Sustainable Development
There are many problems and challenges ahead of us. We also have many possibilities and options to wade through as we navigate the right way forward. It’s up to us to leverage the opportunities by adopting better strategies for using data and technology.
Cutting Through the Data Fog With Industry Collaboration and Connectivity
Data is everywhere. As our individual behaviors leave an ever-expanding data footprint, we are faced with the challenge of making sense of all of this data and extrapolating meaningful insights to drive performance.