CIO Business Intelligence
DECEMBER 1, 2022
Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. People become embedded into the ways of working successfully,” she says. “Me
bridgei2i
MAY 26, 2020
In the post-COVID era, they can be empowered with a high standard of data and analytics sophistication to cope and thrive. By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. To introduce him better, he has been a supply chain analytics professional for over 14 years.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
bridgei2i
APRIL 28, 2020
One real challenge that we’re seeing is the focus on forecasting. Let’s talk about forecasting for a moment. Everybody’s very concerned about forecasting. Most companies will forecast their business based on trends. Are they going to look at, you know, maybe new business models using data?
bridgei2i
JUNE 2, 2020
Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. As past data isn’t relevant anymore, current models aren’t going to work. I can’t exactly forecast my losses, cross sell and growth hence becomes tougher decisions to make.
AWS Big Data
MAY 31, 2023
In this post, we discuss how we use QuickSight to deliver powerful HR analytics to over 3,000 customers and 43,000 users while forecasting savings of 84% year-over-year as compared to our legacy reporting solutions. QuickSight allowed us to meet our customers’ needs quickly and played a key role in our overall analytics strategy.
Cloudera
DECEMBER 20, 2022
This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model. Replay our webinar : Machine learning model deployment: Strategy to implementation.
bridgei2i
APRIL 20, 2020
As newer business models will emerge and older ones phased away, there’ll be a similar impact on newer jobs and skips, which would accelerate the need for redesigning jobs using combinations of employees, machines and on-demand talent, including gig platforms, alliances, strategic partnerships, etc.
Expert insights. Personalized for you.
144 
Let's personalize your content