This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
This has led to an explosion of data: Organizations of all kinds have a larger number of programs and applications feeding them more information, covering a wider array of metrics, than ever before. Evolve to correlate data across systems. Bottom line: You need a mature peopleanalytics program to really impact business outcomes.
It’s important for B2B enterprises to stay engaged with their customer as they go through the scenario planning exercise. Capturing data about the customer and making these insights available for the customer-facing business functions will become invaluable in the B2B enterprise’s integrated customer engagement drive.
But because of COVID-19, digital transformation is helping B2B models trying to replicate successful B2C models. And since they involve making better decisions using data-driven insights, AI & Analytics led applications are leading the way forward. Let’s see it from B2C and B2B perspective. Subscribe Now.
In order to bring more value to the table in post COVID times, B2B sales organisations today are continuously looking out for the right insights to pursue the right opportunities. How do you see B2B sales transforming in this scenario? And so we’ve got to have data on what’s the representative of the new norm.
Their head is like can we augment data from other data sources that can give us a glimpse into the future. Could we finally say that there is a widespread consensus in the community that data is more important than ever now. In the short run, this means they have to get their demand forecast right. Tune in for more.
We’ll be back with more discussions and points of view from the world of dataanalytics and AI. Listen to Dhritiman Chakrabarti, Advisor – PeopleAnalytics, BRIDGEi2i talk about the role of HR teams in mitigating the COVID-19 crisis and the redefinition of work in the new era. Tune in for more. Listen Now.
So, most of these companies are taking that significantly more seriously because there’s not enough data, so you need to be able to have a better learning algorithm incorporated, which can work with smaller data. Also, Melita, planning, and forecasting, as I spoke about this earlier, is becoming a huge challenge.
Recent data indicates that daily e-commerce sales are up by 25 percent in the US and by 33 percent in the UK. Listen to Dhritiman Chakrabarti, Advisor – PeopleAnalytics, BRIDGEi2i talk about the role of HR teams in mitigating the COVID-19 crisis and the redefinition of work in the new era. Tune in for more. Listen Now.
In order to bring more value to the table in post COVID times, B2B sales organisations today continuously looking out for the right insights to pursue the right opportunities. How do you see B2B sales transforming in this scenario? And so we’ve got to have data on what’s the representative of the new norm.
The way an AI system will operate in terms of engaging our employment sector is first of all, we need people who can build the models, who would be the mathematicians, computer scientists, engineers. We need people who can test. More efficient, more scalable systems are going to be able to handle more data. Tune in for more.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content