CIO Business Intelligence

AUGUST 14, 2023

Capitalizing on SAP’s in-memory database, the solution is renowned for meeting the exact challenges Huabao hoped to address navigating uncertainty and refining business results. Rise with SAP S/4HANA Cloud, Private Edition , an ERP tool for large enterprises, would be utilized as the digital core of the new platform.

Key Performance Indicator 95

Key Performance Indicator Sales Manufacturing KPI 95

Cloudera

DECEMBER 3, 2021

Systems should be designed with bias, causality and uncertainty in mind. Uncertainty is a measure of our confidence in the predictions made by a system. We need to understand and provide the greatest human oversight on systems with the greatest levels of uncertainty. System Design. Human Judgement & Oversight.

Uncertainty 101

Uncertainty Measurement Metrics Modeling 101

CIO Business Intelligence

JANUARY 2, 2024

CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. But at the end of the day, it boils down to statistics. Statistics can be very misleading.

IT 144

IT Cost-Benefit Statistics Consulting 144

Rocket-Powered Data Science

JULY 19, 2023

This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

NOVEMBER 3, 2023

Women disproportionately affected by burnout For women, the statistics around burnout are even worse. Keeping in line with employees’ clear desire to have flexible work options, 43% also said that they valued remote work business allowances, to ensure they have all the necessary resources at home to effectively perform their jobs.

IT 130

IT Reporting Uncertainty Cost-Benefit 130

Juice Analytics

APRIL 17, 2020

Forecasts are built by experts, using lots of assumptions, based on very complex and specifically applied statistical models. And in this particular case, the uncertainty bands are huge, because there’s just so much about this virus that we just don’t understand.

Forecasting 85

Forecasting Snapshot Dashboards Uncertainty 85

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. All descriptive statistics can be calculated using quantitative data. Digging into quantitative data. This is quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

JUNE 28, 2022

More importantly, we also have statistical models that draw error bars that delineate the limits of our analysis. Good data scientists can also reduce some of this uncertainty through cleansing. People even spell their names differently from year to year, day to day, or even line to line on the same form.

Management 134

Management Internet of Things Statistics Data-driven 134

CIO Business Intelligence

MARCH 23, 2023

As the world continues to experience economic uncertainty, IT leaders look to tighten budgets, consolidate tools and resources, and generally become more risk-averse when evaluating new investments. Provide decision makers with credible industry research, as well as your own team’s statistics to support your request. to just 2.2%

Scorecard 59

Scorecard Cost-Benefit ROI IT 59

Jet Global

APRIL 12, 2023

With 66% of respondents seeing an increase in demand for operational reporting in 2022, it’s crucial that organizations invest in automating these processes to stabilize through economic uncertainty. Key findings include: Operational reporting costs 71% of IT departments, on average, 1 day per week, or $23,730 per year in salary costs.

Operational Reporting 52

Operational Reporting Finance Reporting IT 52

Smart Data Collective

SEPTEMBER 22, 2020

Statistics over time have proven that the firearms industry does exceptionally well under two conditions: right before a presidential election and during a national crisis. Likewise, when a national crisis emerges, people rush to buy firearms and ammunition out of fear, uncertainty, and preparedness. Currently, the U.S.

Big Data 92

Big Data Marketing Sales Manufacturing 92

Perceptual Edge

APRIL 21, 2019

Seeing the actual data as well helps us keep in mind that statistical models are estimates, built on assumptions, which are never entirely true. So, to recap, noise in communication, including data visualization, is content that isn’t part of and doesn’t support the intended message or content that isn’t truthful.

Visualization 76

Visualization Statistics Uncertainty Modeling 76

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As To address the challenges, the company has leveraged a combination of computer vision, neural networks, NLP, and fuzzy logic.

Digital Transformation 89

Digital Transformation Cost-Benefit Informatics Data mining 89

IBM Big Data Hub

SEPTEMBER 28, 2023

For many businesses and organizations, this can introduce uncertainties that slow adoption of generative AI, particularly in highly regulated industries. will enable organizations to create synthetic tabular data that is pre-labeled and preserves the statistical properties of their original enterprise data.

Testing 92

Testing Finance Enterprise Modeling 92

Anmut

OCTOBER 29, 2020

In a time of uncertainty, it also pressures decision-making bodies even more into making the right decision. This ongoing trade-off between reporting timely and accurate information strains the reliability of the data. COVID-19 exposes shortcomings in data management.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

CIO Business Intelligence

NOVEMBER 27, 2023

Cybersecurity risks This one is no surprise, given the scary statistics on the growing number of cyberattacks, the rate of successful attacks, and the increasingly high consequences of being breached. Surveys show a mixed executive outlook, indicating a level of uncertainty about what to expect.

IT 118

IT Digital Transformation Reporting Finance 118

Insight

APRIL 10, 2020

Their latest placement and salary statistics are: 88% of Insight Fellows accept a job offer in their chosen field within 6 months of finishing the Fellows Program, and the median time to accept a job offer is 8 weeks. They work at over 700 companies across North America, with many of them working as heads of their teams.

Uncertainty 74

Uncertainty Statistics Machine Learning Publishing 74

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

Insight

MAY 15, 2020

In this time of terrifying uncertainty, some might focus on their own career journey over others. Wishlists are especially off-putting to women, who statistically will only apply to job opportunities if they meet 100% of the listed requirements, versus men applying when they meet 60%. However, many are looking out for their colleagues.

Uncertainty 76

Uncertainty Data Science Statistics Marketing 76

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. The AGI would need to handle uncertainty and make decisions with incomplete information. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

Cost-Benefit 82

Cost-Benefit Modeling Manufacturing Interactive 82

Cloudera

MARCH 2, 2018

For example, applying machine learning to wind forecasting is expected to reduce uncertainty in wind energy production by more than 45% and will allow utilities to integrate wind more easily with traditional forms of power supply.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. Journal of Official Statistics 6.1 Large-Scale Parallel Statistical Forecasting Computations in R ”, Google Research report. [8]

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. King was a wise King, but now he was gripped with uncertainty. Source: Google Trends. The office of Chief Wizard commanded a stipend that was not inconsiderable.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. A single model may also not shed light on the uncertainty range we actually face.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. They learned about a lot of process that requires that you get rid of uncertainty. They’re being told they have to embrace uncertainty.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Timo Elliott

JANUARY 18, 2021

Data has always been important for organizations, but now, faced with so much uncertainty, everybody is interested in having more. Our team have focused on “what’s the distinctive capability that Microsoft has and how can we help? Timo: I believe there’s been a massive explosion of interest in data.

IT 70

IT Dashboards Digital Transformation Data-driven 70

Data Science and Beyond

JANUARY 7, 2019

Bootstrap sampling techniques are very appealing, as they don’t require knowing much about statistics and opaque formulas. Instead, all one needs to do is resample the given data many times, and calculate the desired statistics. Don’t compare confidence intervals visually. Pitfall #1: Inaccurate confidence intervals.

Statistics 77

Statistics Uncertainty Testing Modeling 77

Jet Global

MAY 16, 2023

To adapt to continued market uncertainty, businesses need to be agile and resilient in order to ensure continued growth. Both statistics are alarming considering market uncertainty increases the demand for more frequent, more accurate forecasts and reporting.

Uncertainty 52

Uncertainty Finance Cost-Benefit Reporting 52

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Strategy 95

The Unofficial Google Data Science Blog

AUGUST 27, 2019

But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem. Statistical Science. Statistics in Biopharmaceutical Research, 2010. [4] High Risk 10% 5% 33.3% How Many Strata? 16 (2): 101–133. [3]

Metrics 98

Metrics Statistics Uncertainty Optimization 98

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. But for more complicated metrics like xRR, our preference is to bootstrap when measuring uncertainty.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

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

Occam's Razor

APRIL 8, 2013

Remember that the raw number is not the only important part, we would also measure statistical significance. They might deal with uncertainty, but they're not random. The result? The properties with professional photography had 2-3 times the number of bookings! Airbnb had enough data points to be confident in their results.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Peter James Thomas

AUGUST 12, 2018

Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. The thing with statistical estimates is that they are never a single figure but a range. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

O'Reilly on Data

FEBRUARY 11, 2020

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. His insight was a corrective to the collective bias of the Army’s Statistical Research Group (SRG). Key survey results: The C-suite is engaged with data quality. The SRG could not imagine that it was missing data.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64