CIO Business Intelligence

AUGUST 2, 2023

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 business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 97

Manufacturing Data Architecture Strategy Data Strategy 97

IBM Big Data Hub

FEBRUARY 22, 2024

As clients continue to face industry-specific challenges, IBM Cloud is continuously innovating to help them thrive in areas related to trade finance , payments , high performance computing and more. We also offer an EU support model that is designed to provide an extra layer of protection for our clients deploying their workloads in Europe.

Enterprise 73

Enterprise Risk Data Processing Business Driver 73

Jet Global

OCTOBER 21, 2020

The way we perceive business risk, and how we manage it, is fundamentally different for every finance leader on the planet. Traditionally, planning is performed on a quarterly, bi-annual, or annual basis by finance departments, with a big push for the annual budget. Why change the process? What is continuous planning?

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

Peter James Thomas

AUGUST 29, 2018

I have accountability for the governance and quality through those processes and for making the data available for downstream consumers, like Analytics, Risk, Finance and HR. What I would say is that there is no “one size fits all” approach to the CDO organisation model.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. AI in Finance. Intense competition at every level. AI Services.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

APRIL 4, 2023

But taking this kind of butler approach to the organization’s future of work mission and waiting for business drivers can be shortsighted. CIOs should define a citizen development governance model and govern citizen data science so that no-code apps and dashboards developed today don’t become tomorrow’s technical debt.

Digital Transformation 143

Digital Transformation Data-driven Business Driver Finance 143