datapine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? 5) Warehouses and the supply chain are automated Soon enough, big data combined with automation technology and the Internet of Things may make logistics an entirely automated operation.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Jet Global

MARCH 22, 2023

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. The challenge is collecting all that data into one place and making it understandable.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

Jet Global

NOVEMBER 7, 2023

Technology that increases efficiency by simplifying reporting processes is important for finance teams to connect data, enable agility, and drive profitability. To see how insightsoftware solutions can help your organization achieve these goals, watch our video on driving business growth through automation.

Finance 52

Finance Uncertainty Reporting Marketing 52

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 59

OLAP Slice and Dice Cost-Benefit Data Warehouse 59

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process. Analytics Specialist Solutions Architect specializing in architecting enterprise data platforms.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

Grooper

AUGUST 19, 2019

Traditional data sources like end of month statements and quarterly reports are no longer enough. Access to enterprise-wide information fuels analytics solutions and enable a new approach for decision making. These requirements include fluency in: Analytical models. Data science skills. Well, almost.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52