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
In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and dataintegration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe.
As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core businessdrivers to grow sales, reduce costs, and optimize their businesses. But integratingdata isn’t easy.
So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the businessdrivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?
I look at digital transformation as the maturity level of an organization that allows it to have modern and continuous capabilities to process improvement and optimizations. Digitalization brings technological improvement but not a huge business value. Digital transformation is much more than a buzz word. Technology matters for CPM.
They are either directed to a specific part of the application, or back-end processes are triggered (which empower users to act on the data within the same context of their analysis). Prioritize Next, prioritize the desired functionality based on businessdrivers. Ideally, your primary data source should belong in this group.
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