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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.
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?
Automation Respondents say they automate most or all processes for “dataintegration” (69%), “platform monitoring” (58%), and “data quality monitoring” (38%). A lack of training contributes to this gap: only 65% of data vault adopters say they have been trained on the data vault 2.0
Digitalization brings technological improvement but not a huge business value. Planning processes require collaboration, business logic policy and dataintegration. Managing the business logic as part of a planning repository is an important part of the digital transformation.
Added to which, insightsoftware reforecasts weekly, which gives it deep familiarity with the businessdrivers, allowing it to respond agilely to change.
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. Time: What features do you need now? Which features can wait?
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