IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. time (how much time is lost?)

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

Data Science and Beyond

JANUARY 7, 2019

Therefore, bootstrapping has been promoted as an easy way of modelling uncertainty to hackers who don’t have much statistical knowledge. Don’t compare confidence intervals visually. Confidence intervals are a common way of quantifying the uncertainty in an estimate of a population parameter.

Statistics 77

Statistics Uncertainty Testing Modeling 77

IBM Big Data Hub

APRIL 20, 2023

A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. This technology-driven process visualization is revolutionizing the way we look at processes.

KPI 66

KPI Consulting Finance Enterprise 66

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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. Our code has details (there are probably other reasonable visualization approaches that work just as well).

IT 70

IT Visualization Modeling Uncertainty 70

AWS Big Data

AUGUST 7, 2023

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. to create forecast tables and visualize the data. Time series data is plottable on a line graph and such time series graphs are valuable tools for visualizing the data. We aggregated the usage data hourly.

Forecasting 91

Forecasting Data Warehouse Machine Learning Modeling 91

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. And we could easily visualize how a fix could impact our warranty claim forecast. Full circle data experience: achieved. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

Smarten

JULY 18, 2022

The path to Citizen Data Scientist does not have to be fraught with uncertainty.’. The enterprise can create and manage goals and objectives using measurable data and can improve time to market and make better decisions. The path to Citizen Data Scientist does not have to be fraught with uncertainty.

Uncertainty 52

Uncertainty Predictive Analytics Forecasting Analytics 52

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

AWS Big Data

SEPTEMBER 9, 2024

Real-time data visualization Using real-time feeds to create charts of stocks is the most common use case for real-time market data in the cloud. Stock implied volatility Implied volatility (IV) is a measure of the market’s expectation of how much a stock’s price is likely to fluctuate in the future.

Publishing 88

Publishing Management Snapshot Dashboards 88

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. Remember, data measures an activity. Benchmarking.

Analytics 52

Analytics Cost-Benefit Consulting Strategy 52

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 Manufacturing Modeling Interactive 89

BizAcuity

APRIL 1, 2023

Disruptive measures to help fight different types of disruption that was being witnessed for the first time. It is a visual system for managing work that involves the use of cards or other visual elements to represent work items, and a set of rules for how those work items should be moved through the development process.

Software 52

Software Manufacturing Visualization Testing 52

BizAcuity

FEBRUARY 3, 2023

Disruptive measures to help fight different types of disruption that was being witnessed for the first time. It is a visual system for managing work that involves the use of cards or other visual elements to represent work items, and a set of rules for how those work items should be moved through the development process.

Software 52

Software Manufacturing Visualization Testing 52

Sisense

DECEMBER 13, 2021

And utilizing a solution like Narmi Analytics, our customers can filter by information type and visualize their data in bar graphs, pie charts, scatter maps, or whatever is most appropriate. This insight can inform future partnerships, and reduce uncertainty about which services will be most relevant and useful.

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

Domino Data Lab

JUNE 23, 2019

These measurement-obsessed companies have an advantage when it comes to AI. Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement.

Management 110

Management Machine Learning Experimentation Metrics 110

bridgei2i

OCTOBER 20, 2021

Slowly and gradually, the industry trend shifted to the online sensors where you don’t have to run around just for the measurement. Considering the current situation, I will not say that, you know, it is a COVID situation, because we don’t know, when COVID will be over. We have seen that, you know, digital payment, like, you know.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

Note also that this account does not involve ambiguity due to statistical uncertainty. As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise. The mechanism and code path for this data were completely different from our click-based measurements.

Slice and Dice 46

Slice and Dice Experimentation Data-driven Data Science 46

datapine

SEPTEMBER 4, 2023

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? 4) Static vs. Animated Data Visualization Data is the new oil? ” – David McCandless Humans are visual creatures. This very notion is the core of visualization.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

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. But this didn’t come easy.

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

NOVEMBER 16, 2021

A logistics key performance indicator (KPI) is a quantitative tool used by businesses to measure performance within their logistics department. Logistics KPIs can measure a variety of metrics, most of which pertain to purchasing, warehousing, transportation, delivery of goods, and financials. Measurable: Is your metric quantifiable?

Metrics 84

Metrics Reporting Key Performance Indicator KPI 84

Jet Global

FEBRUARY 5, 2024

Top Reasons for a Heavy Carbon Footprint From Your Supply Chain Keeping supply chains operating seamlessly in geopolitical and economic uncertainty is not a new challenge for global manufacturers, though it may feel like supply chain turbulence has become the new normal.

Optimization 52

Optimization Operational Reporting Manufacturing Reporting 52

Jet Global

MARCH 17, 2025

Learn More EPM solutions bring together financial planning, performance measurement, and operational strategies into one seamless system. EPM solutions help finance teams navigate this uncertainty by allowing them to run scenario and what-if analyses. EPM, BPM, CPM, FPM Whats the Difference?

Finance 52

Finance Reporting Forecasting Risk 52