CIO Business Intelligence

JUNE 28, 2022

Some call data the new oil. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 132

Management Internet of Things Statistics Data-driven 132

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Sisense

JUNE 24, 2020

Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. Is your analytic app a product or service?

Analytics 52

Analytics Cost-Benefit Consulting Strategy 52

IBM Big Data Hub

JULY 31, 2023

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand. Couldn’t execs have run better analyses to spot risks within the data?

Digital Transformation 50

Digital Transformation Uncertainty Risk Data Warehouse 50

bridgei2i

MAY 18, 2020

The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. This figure represents how strategy and finance teams might be working hand-in-glove with other business functions to predict how the situations will evolve and impact revenue, which thereby impacts Opex. For Existing Customers.

B2B 52

B2B Sales ROI Marketing 52

Jet Global

DECEMBER 10, 2020

To implement AI, you need four main resources: an algorithm, at least 15 years of data, massive amounts of data over that time period, and a way to test the algorithm and get feedback on its accuracy. It’s part of a mixed bag of tools that we use for data collection, tracking, reporting, and analysis.

Uncertainty 52

Uncertainty Technology Finance Business Intelligence 52

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . The coming months are a leadership test for CIOs, and it’s a pass/fail grade.”. Keep calm and lead on.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. The data showed us that metrics are not exactly straight-line functions of parameters.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection.

Data Lake 77

Data Lake Cost-Benefit Digital Transformation Risk 77

Jet Global

OCTOBER 21, 2020

Companies use forecasting to make critical investments, plan for covenant compliance, and even decide on future mergers and acquisitions (M&A) strategies. Instead, many internal and external inputs to the planning cycle are automated, enabling finance teams to concentrate on scenario modelling rather than data reconciliation.

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

Jet Global

MAY 18, 2020

The Office of the CFO sits at the heart of business strategy if it is operating productively and effectively. In the last few months, this level of thinking has been tested more than ever before. And that’s the last thing you want during in periods of uncertainty where things are changing on a daily basis. A New Look.

Finance 64

Finance Reporting Uncertainty Testing 64

Andrew White

MARCH 6, 2021

First it is hard to collect such data. Second such data might be hard to understand and compare across countries and regions. January’s jobs data was revised upwards too. We have hypothesis and we test them. Sometimes a model seems to fit data from the past and all hail, we have a new theory to apply to the future.

Marketing 52

Marketing Forecasting Uncertainty Strategy 52

Domino Data Lab

JUNE 23, 2019

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. A few highlights from the session include.

Management 110

Management Machine Learning Experimentation Metrics 110