Remove Business Analytics Remove Data Analytics Remove Data Warehouse Remove Management
article thumbnail

DataOps For Business Analytics Teams

DataKitchen

Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. In business analytics, fire-fighting and stress are common.

article thumbnail

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Insiders

Sign Up for our Newsletter

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

article thumbnail

What is a business intelligence analyst? A key role for data-driven decisions

CIO Business Intelligence

Business intelligence (BI) analysts transform data into insights that drive business value. What does a business intelligence analyst do? It’s a role that combines hard skills such as programming, data modeling, and statistics with soft skills such as communication, analytical thinking, and problem-solving.

article thumbnail

Understanding Structured and Unstructured Data

Sisense

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

article thumbnail

How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs.

article thumbnail

Enable Multi-AZ deployments for your Amazon Redshift data warehouse

AWS Big Data

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

article thumbnail

Announcing the 2021 Data Impact Awards

Cloudera

Use cases could include but are not limited to: workload analysis and replication, migrating or bursting to cloud, data warehouse optimization, and more. Winners included: Connect the Data Lifecycle: Globe Telecom — Raising experience standards and helping customers live enhanced mobile lifestyles. INDUSTRY TRANSFORMATION.