datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

David Menninger's Analyst Perspectives

JANUARY 20, 2021

In our Data Preparation Benchmark Research , we found that 41% of participants use Analytics and Business Intelligence tools for data preparation. The necessary tools are often separate, but our research shows organizations prefer an integrated environment.

Business Analytics 268

Business Analytics Analytics Business Intelligence Internet of Things 268

David Menninger's Analyst Perspectives

MAY 13, 2019

These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.

Business Analytics 180

Business Analytics Big Data Analytics Enterprise 180

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. 5) Data Analytics Made Accessible, by Dr. Anil Maheshwari. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

OCTOBER 6, 2022

Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes. Optimising HPC and AI Workloads.

Internet of Things 95

Internet of Things Manufacturing Digital Transformation Cost-Benefit 95

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights.

Visualization 85

Visualization Metadata Testing Internet of Things 85

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Stream” itself was No. 1 overall term.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20