article thumbnail

How Data Analytics Is Revolutionizing The Future Of eCommerce In 2020

Smart Data Collective

Data analytics is revolutionizing the future of ecommerce. A growing number of ecommerce platforms have expressed the benefits of data analytics technology and incorporated them into their solutions. How much of a role will big data play in ecommerce? billion on big data by 2025.

B2B 107
article thumbnail

Analytics and BI Bake-Off Rocks Data & Analytics Summit LIVE and IN PERSON, 2022!

Rita Sallam

For the vendors that participate in the Bake-Off, it is in equal measure fun and extremely stressful. Afghanistan has gone from 7% of the rural population having good access to electricity in 2005 to 97% in 2019. There is NOTHING like the energy, vibe and fun of a live and in-person Bake-Off!! And these did not disappoint!

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. HandleTime – This customer service metric measures the length of a customer’s call.

article thumbnail

The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

Its constituent companies later moved into high-street retail, launched new mail-order brands selling clothing on credit, and even created a consumer financial data broker, later spun off like so many of the group’s other non-core activities. Establishing a clear and unified approach to data.

IT 74
article thumbnail

Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

With Flink SQL, business analysts, developers, and quants alike can quickly build a streaming pipeline to perform complex data analytics in real time. In this article, we will be using synthetic market data generated by an agent-based model (ABM) developed by Simudyne. Citations. [1] Available at SSRN: [link] or [link]. [2]

Risk 96