How to use data analytics to plan for a holiday sale

The festive cheer is finally here. Holiday sales such as Black Friday and Christmas contribute to a major part of revenue for retail and e-commerce companies. With the massive adoption of online shopping, and greater focus on value, this year’s festive sale will be unlike any other. Even with the uncertain conditions brought on by the pandemic, consumers are resilient and adapting quickly to new shopping behavior. Many are adopting online shopping for the first time.

Optimizing & Simplifying Business Analytics | Part 1 | Snowflake Inc.

Jumpstarting the digitalization of business, Babu Kuttala, Chief Data and Analytics Officer at ABB, details how he came into his role, his influence in different markets, & how he grows and simplifies ABB's use of internal and external data. Rise of the Data Cloud is brought to you by Snowflake.

How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

I met Matthew in New York City about a year ago. We sat in a private conference room and he told me the story of his pharma startup. A small group of researchers set out to solve the black-box enigma of certain kinds of vicious cancers. There are so many cancers, so their vision was to focus on especially heinous ones. Fast forward to their recent FDA approval of their “Hail Mary” procedure and treatment methodology for stage-four patients of a particular cancer.

Demo: Cloudera DataFlow on Data Hub

Cloudera DataFlow for Data Hub makes hybrid use cases possible by extending on-premises flow management, streams messaging, and stream processing and analytics capabilities to the public cloud. Watch an integrated demo of Cloudera DataFlow on Data Hub to understand how easy it is to ingest, process, and analyze your streaming data across multiple public cloud clusters.

Improving search relevance with data-driven query optimization

When building a full-text search experience such as an FAQ search or Wiki search, there are a number of ways to tackle the challenge using the Elasticsearch Query DSL. For full-text search there’s a relatively long list of possible query types to use, ranging from the simplest match query up to the powerful intervals query.


Why Data Analytics Is Important for Business Success

Given the competitive value of analytics and rapid adoption rates across industries, you can’t afford a subpar analytics program. In the late 90s, Oakland Athletics general manager Billy Beane used data to discover undervalued talent and assemble a perennial playoff-caliber team, and he did so on a shoestring budget compared to Major League Baseball’s heavy hitters. Beane’s pioneering use of data analytics became the subject of the bestselling book Moneyball.


Why ELT Is the Future of Data Integration

Many analytics programs struggle to assimilate data from numerous and unpredictable sources, but automated ELT offers a solution. Why do so many businesses struggle to establish successful analytics programs? A lack of data is not the problem. Data volumes — from hundreds of cloud applications to millions of IoT endpoints — are exploding across organizations and industries.


Cloud-Based Data Analytics in Three Steps

Implementing a modern, cloud-based analytics stack doesn’t have to be hard — you can do it in three steps, actually. Implementing a modern data stack (MDS) — data integration tool, cloud data warehouse and business intelligence platform — is the best way to establish a successful analytics program as data sources and data volumes multiply.