CIO Business Intelligence

NOVEMBER 14, 2022

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. Commonly used models include: Statistical models. Data-driven DSS. SAP BusinessObjects. TIBCO Spotfire.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Jet Global

JUNE 21, 2023

. – June 21, 2023 – In an economy that challenges them to do more with less, finance teams believe they are actually taking longer to get things done, according to new research from insightsoftware , a global provider of reporting, analytics, and performance management solutions.

Finance 52

Finance Uncertainty Digital Transformation Reporting 52

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. Accounting departments report that the system finalizing monthly financial activities can be closed two to three days earlier than in the past.

Key Performance Indicator 98

Key Performance Indicator Sales Manufacturing KPI 98

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. The September Monthly Threat Intelligence Report from cybersecurity firm NCC Group delivers plenty of reasons to worry.

IT 135

IT Digital Transformation Reporting Finance 135

Juice Analytics

APRIL 17, 2020

Here’s snapshot of a recent search: As Harry Stevens, Washington Post reporter (responsible for that amazing “flatten the curve” story ) pointed out in the round table: “ the truth is that a million cases happened weeks before the official count passed that number and so we’re not reporting on reality, but we’re reporting on the numbers. ”

Forecasting 85

Forecasting Snapshot Dashboards Uncertainty 85

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. The outcome was very positive indeed, as this customer reported the delightful experience on their social media account, thereby spreading positive sentiment about the business to a wide audience.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

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

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

Anmut

OCTOBER 29, 2020

On the 29th of October 2020, the WHO reported 44,002,003 confirmed cases. Worldometer which John Hopkins base their figures on, reported 44,860,215 cases. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. 858,212 is a big number – a whole island.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

Perceptual Edge

APRIL 21, 2019

While they might argue that their smooth model illustrates the relationship in a simpler manner, I would argue that it over-simplifies the relationship if they only report the model without also revealing the actual data on which it was based.

Visualization 76

Visualization Statistics Uncertainty Modeling 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. Nearly all respondents reported promising early results from gen AI experiments and planned to increase their spending in 2024 to support production workloads.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Crucially, it takes into account the uncertainty inherent in our experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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

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. If you look into the middle bucket, they have three things that they report in common. Tukey did this paper. It’s a great read.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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. Executives see the big picture, not only vis-à-vis operations and strategy, but also with respect to problems—and, especially, complaints —in the units that report to them. Figure 6, below, combines two things.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

Jet Global

MAY 16, 2023

New insightsoftware Platform connects financial analytics, reporting, and performance management solutions to share data across applications, solve business problems faster, and do more with less RALEIGH, N.C. – To adapt to continued market uncertainty, businesses need to be agile and resilient in order to ensure continued growth.

Uncertainty 52

Uncertainty Finance Cost-Benefit Reporting 52

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. Update : ARCH will soon support analysis of samples of uneven sizes following an issue I reported.

Statistics 77

Statistics Uncertainty Testing Modeling 77

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

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Remember that the raw number is not the only important part, we would also measure statistical significance. Online, offline or nonline. The result?

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

BI-Survey

FEBRUARY 14, 2022

Overnight, the impact of uncertainty, dynamics and complexity on markets could no longer be ignored. Local events in an increasingly interconnected economy and uncertainties such as the climate crisis will continue to create high volatility and even chaos. Request the free report now × BARC Report The Future of Analytics.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

Perceptual Edge

JULY 22, 2019

You should describe the uncertainty of your findings. You should report any limitations that might have had an effect on the validity of your findings. You should document the steps that you took, including the statistics that you used, and maintain the data that you produced during the course of your work.

Sales 73

Sales Uncertainty Statistics Business Intelligence 73

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. Request the free report now × BARC Report Sound Decisions in Dynamic Times. Infographic of the key findings.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. Request the free report now × BARC Report Sound Decisions in Dynamic Times. Infographic of the key findings.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

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

The Unofficial Google Data Science Blog

MAY 31, 2016

Statistical power is traditionally given in terms of a probability function, but often a more intuitive way of describing power is by stating the expected precision of our estimates. This is a quantity that is easily interpretable and summarizes nicely the statistical power of the experiment.

Advertising 42

Advertising Testing Sales Statistics 42

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Insight

FEBRUARY 19, 2020

I trained 500 models on these 500 random subsamples and built a distribution of ROI values from which I can extract summary statistics such as the median and 95% confidence interval. The user can enter information about a proposed film project and receive a report on the riskiness of the project. Input page for ReelRisk.

Risk 67

Risk ROI Modeling Metrics 67

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. Technical Report 1341, University of Montreal, 2009.

IT 68

IT Visualization Modeling Uncertainty 68

datapine

SEPTEMBER 4, 2023

As a result, you can develop a management report that will enable you to gain the insights you need to make changes that have a positive impact on the business. 21) Data Breaches By Data Sensitivity **click image for source** According to a report by IBM, the global average cost of a data breach in 2023 was 4.45

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Jet Global

OCTOBER 18, 2021

Factory shutdowns, shipping bottlenecks, and shortages of raw materials have led to substantial uncertainty for businesses seeking to address the vicissitudes of supply-side availability. Statistical demand forecasting may use complex formulas and algorithms to extrapolate future demand based on past history. Consolidation.

Forecasting 52

Forecasting Recreation/Entertainment Sales Finance 52

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. Mike had made the common error of equating a bad outcome with a bad decision.

Uncertainty 275

Uncertainty Testing Risk Reporting 275