AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 83

Forecasting Data Warehouse Machine Learning Modeling 83

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. And we could easily visualize how a fix could impact our warranty claim forecast. Full circle data experience: achieved.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

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. Addressing cognitive bias with pre-mortems.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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

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. Forecasting consumer trends. But to do that, they need to first know the basics about their users’ habits.

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

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