CIO Business Intelligence

JANUARY 15, 2024

Anytime you’re starting down a pathway of change, you have to talk to people you trust, let them know what you’re working on, and then set a measuring stick,” Pyle says. All CIOs are going to have to present their vision on why IT is valuable,” he says. Because of this, many CEOs and board members are asking CIOs to do more with less.

IT 128

IT Consulting Strategy Sales 128

Jet Global

JULY 21, 2020

This is a natural response during times of uncertainty. Effective cash flow management, for example, requires real-time analysis tools that can automate and streamline the process of extracting data from multiple source systems, formatting and analyzing that data, and presenting the resulting information in a meaningful way.

Management 64

Management Sales Forecasting Measurement 64

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 134

Risk Manufacturing Enterprise Technology 134

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Sisense

JUNE 24, 2020

Every company wants to focus on operational efficiency and protect their revenue against uncertainty. Data and analytics are critical to helping companies measure progress, engage with their customers, and test new innovations that lead to profitability. So what’s the best way to present your platform to customers? Benchmarking.

Analytics 52

Analytics Cost-Benefit Consulting Strategy 52

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. Despite its many uses, quantitative data presents two main challenges for a data-driven organization. This is quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

SEPTEMBER 9, 2019

We could also feed the same data into Amazon Comprehend to measure the sentiment behind the themes, and which products were most associated with certain sentiments. Here at Skullcandy, we’re happy to report that “dropping in” to the predictive and sentiment analytics game was worth the initial uncertainty. It will be iterative.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

IBM Big Data Hub

APRIL 18, 2024

Beyond cost savings, organizations seek tangible ways to measure gen AI’s return on investment (ROI), focusing on factors like revenue generation, cost savings, efficiency gains and accuracy improvements, depending on the use case. The AGI would need to handle uncertainty and make decisions with incomplete information.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

Occam's Razor

APRIL 15, 2019

Factually presented. A decade ago, data people delivered a lot less bad news because so little could be measured with any degree of confidence. In 2019, we can measure the crap out of so much. To create enough uncertainty to fuzzy up any negative – or remotely negative – data. Negative data. Why be hurtin’?

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

bridgei2i

JULY 8, 2020

The bottom line is that despite these uncertain times, this situation presents fascinating learning outcomes for all. This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. Listen Now BRIDGEi2i presents a podcast on the changing SCM landscape in the aftermath of COVID-19.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

bridgei2i

JUNE 3, 2020

Consumers feel threatened by the prolonged uncertainty, not having had to deal with anything like it, in their lives. Forecasting models have to be created keeping in mind this uncertainty, and key indicators need to be identified for early detection. COVID-19 as a social zeitgeist and its impact on the consumer psyche (Gartner).

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. Crucially, our approach does not rely on model performance on holdout samples.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

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. . Be present with your staff. Tumultuous times redefine what constitutes success. Keep calm and lead on.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

datapine

MAY 31, 2022

By understanding them and their nature in relation to the world of modern business, they present great opportunities for organizational growth and evolution. That’s why it is important to implement a secure BI cloud tool that can leverage proper security measures. Cost management and containment.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

O'Reilly on Data

OCTOBER 13, 2020

Therefore, the PM should consider the team that will reconvene whenever it is necessary to build out or modify product features that: ensure that inputs are present and complete, establish that inputs are from a realistic (expected) distribution of the data, and trigger alarms, model retraining, or shutdowns (when necessary).

Management 253

Management Metrics Machine Learning Modeling 253

Domino Data Lab

JUNE 2, 2019

Note that there’s not enough room in an article to cover these presentations adequately so I’ll highlight the keynotes plus a few of my favorites. One of my favorite presentations—and the one I kept hearing quoted by attendees —was the day 1 keynote “ Data Science at Netflix: Principles for Speed & Scale” by Michelle Ufford.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

CIO Business Intelligence

JULY 5, 2022

Even with countless ambiguities present in legal and compliance arenas and ongoing uncertainty in the global, national and regional data privacy landscape, the relevance of a sovereign cloud as part of the journey toward digital sovereignty is more significant now than ever before.

Uncertainty 86

Uncertainty Metadata Machine Learning Data Governance 86

CIO Business Intelligence

JUNE 30, 2022

Even with countless ambiguities present in legal and compliance arenas and ongoing uncertainty in the global, national and regional data privacy landscape, the relevance of a sovereign cloud as part of the journey toward digital sovereignty is more significant now than ever before.

Uncertainty 86

Uncertainty Metadata Machine Learning Data Governance 86

Cloudera

OCTOBER 26, 2021

That being said, leaders should take a measured approach and refrain from jumping right in every single time the team encounters an issue. Learning presents opportunities for teams to grow and achieve excellence in the long run. . Learning presents opportunities for teams to grow and achieve excellence in the long run. .

Uncertainty 87

Uncertainty Interactive Reporting Measurement 87

The Unofficial Google Data Science Blog

JULY 22, 2020

Just as in ramp-up, making inferences while ignoring the complexity of time-based confounders that are present can lead to biased estimates. For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. We simulate 2,000,000 users who visit during the experiment.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Rita Sallam

MAY 12, 2021

For the vendors that participate in the Bake-Off, it is in equal measure fun and extremely stressful. When it came to containing the spread of COVID cases, countries with a higher prevalence of domestic travel restrictions and mass population testing measures faired better than those that relied predominantly on awareness campaigns.

Data Analytics 59

Data Analytics Analytics Measurement Uncertainty 59

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. But this does not mean simply presenting a menu of forecasts from which decision makers can choose. Each has some merit, but simply presenting all three as a choice shirks responsibility for actually arriving at the “best” forecast.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

O'Reilly on Data

JULY 20, 2021

Apple’s FaceID uses many levels of presentation attack detection (also known as “anti-spoofing”): it verifies your eyes are open and you are looking at the screen, and it uses a depth sensor to make sure it isn’t “seeing” a photo. This measurement of trust and risk is benefited by understanding who could be in front of the device.

Risk 308

Risk Software Interactive Modeling 308

Jet Global

JANUARY 25, 2021

That’s not surprising, given the uncertainty of the current global economic climate. Operating with a virtual workforce presents some unique issues, and for many finance teams, it means changing some of the fundamental ways in which they get the job done. Free Up the Flow of Information.

Finance 98

Finance Reporting Software Sales 98

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. However, meaningful insights require a representative panel or an analysis that corrects for the sampling bias that may be present.

Advertising 42

Advertising Testing Sales Statistics 42

The Unofficial Google Data Science Blog

MARCH 13, 2017

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. The network “thinks” that objects with large output scores are probably present in the image.

IT 68

IT Visualization Modeling Uncertainty 68

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. You’re presenting it in a smaller form factor. These measurement-obsessed companies have an advantage when it comes to AI. A physicist, they build things like the Super Collider to get better measurements about the world. Session Summary.

Management 110

Management Machine Learning Experimentation Metrics 110

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions.

Statistics 27

Statistics Uncertainty Risk Marketing 27

datapine

SEPTEMBER 4, 2023

Marrying digestible text with striking visuals provides the greatest results regarding the effective presentation of data, making it easy for audiences to understand and retain data. This visual uses icons instead of words to communicate the different sectors included in the survey, making the presentation very visually appealing.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

The Unofficial Google Data Science Blog

APRIL 19, 2021

It discusses practical issues that calibrated predictions solve and presents a flexible framework to calibrate any classifier. The numerical value of the signal became decoupled from the event it was measuring even as the ordinal value remained unchanged. bar{pi} (1 - bar{pi})$: This is the irreducible loss due to uncertainty.

Modeling 122

Modeling IT Metrics Testing 122

Smarten

JULY 18, 2022

The path to Citizen Data Scientist does not have to be fraught with uncertainty.’. These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Training is a key component of this success.

Uncertainty 52

Uncertainty Predictive Analytics Forecasting Analytics 52

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case.

Statistics 363

Statistics Advertising Visualization Data mining 363

Jen Stirrup

NOVEMBER 15, 2022

The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. Of course, the findings need to add value, but how do we measure this success? Measures can be financial, tying in with the business strategy. After all, it can sound a bit woolly!

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Jet Global

MAY 10, 2021

At a time of great uncertainty, the role of finance professionals has, of necessity, evolved into an ever more strategic one. Finding that balance is dependent on understanding the present financial condition of your organization fully. As organizational priorities shift, so too do the priorities of finance teams.

Finance 98

Finance Recreation/Entertainment Reporting Uncertainty 98

Jet Global

OCTOBER 14, 2022

Transform complex SAP data into actionable insights, presented in everyday business language and easily searchable – allowing your users to quickly find information by searching for keywords. Supply chain uncertainty isn’t going anywhere.

Finance 52

Finance Reporting Operational Reporting Forecasting 52

O'Reilly on Data

JUNE 16, 2020

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. This essay is about how to take a more principled approach to making decisions under uncertainty and aims to provide certain conceptual and cognitive tools for how to do so, not what decisions to make.

Uncertainty 282

Uncertainty Testing Risk Reporting 282