CIO Business Intelligence

NOVEMBER 17, 2022

As she climbed the ranks, taking on more senior technology roles at Diageo, Accenture, Yahoo, Betfair, BBC and Skyscanner before joining The Hut Group in 2018, she realised that her sports background could shape her leadership style. Such uncertainty means Drake’s focus is now on efficiency. “[My

Technology 94

Technology Consulting Uncertainty Data Processing 94

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)). Strata Data London.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Jet Global

MAY 18, 2020

It now includes data scientists and strategists, alongside the traditional controllers and accountants, meaning there are many more people looking at numbers. And that’s the last thing you want during in periods of uncertainty where things are changing on a daily basis. The skillset in the Office of the CFO is changing.

Finance 64

Finance Reporting Uncertainty Testing 64

Jet Global

NOVEMBER 8, 2021

It’s about adapting to a rapidly changing world, using data-driven insights to assess the situation, understand the alternatives in front of you, and take the action necessary to win in an increasingly competitive global marketplace. Finance transformation is ultimately about competitive advantage.

Finance 52

Finance Predictive Analytics Reporting Uncertainty 52

BizAcuity

MARCH 28, 2022

In this medium post , Dan Schoenbaum had proposed a simple player retention framework covering 3 steps – unifying data across acquisition and retention, behavioral analysis for user loyalty, and social features to boost network effect. Unified Data for a single view of player/users. Framework – The Deming Cycle PDCA.

Uncertainty 52

Uncertainty Data Warehouse Strategy Data-driven 52

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “AI,” meanwhile, is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Andrew White

APRIL 22, 2020

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. New processes focused on data visibility and business resiliency will emerge. Data, analytics and AI.

Software 52

Software Uncertainty Measurement Marketing 52

CIO Business Intelligence

JULY 17, 2023

To add perspective, since I joined Havmor, the company has grown significantly, but not the workforce, having reduced by 30% compare to our numbers in 2018, thanks to digital innovation and transformation. What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business?

IT 93

IT Digital Transformation IoT Internet of Things 93

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109