Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. This integration is even more important, but much more complex with Big Data.

Big Data 85

Big Data Big Data Data Silos AI 85

Dataconomy

APRIL 27, 2023

But the true power of OLTP databases lies beyond the mere execution of transactions, and delving into their inner workings is to unravel a complex tapestry of data management, high-performance computing, and real-time responsiveness. OLAP systems support business intelligence, data mining, and other decision support applications.

Database 159

Database Data Scientist Data Mining Data Mining 159

Tableau

SEPTEMBER 14, 2021

Editor's note: This article originally appeared in Forbes , by Jennifer Day, Vice President, Customer Strategy and Programs, Tableau . Many businesses recently made strategic moves to build or enhance their data cultures, enabling people to make better, faster decisions as they faced unprecedented challenges. Forbes BrandVoice.

Tableau 105

Tableau Analytics Analytics Data Silos 105

Tableau

SEPTEMBER 14, 2021

Editor's note: This article originally appeared in Forbes , by Jennifer Day, Vice President, Customer Strategy and Programs, Tableau . Many businesses recently made strategic moves to build or enhance their data cultures, enabling people to make better, faster decisions as they faced unprecedented challenges. Forbes BrandVoice.

Tableau 98

Tableau Analytics Analytics Data Silos 98

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

IBM Journey to AI blog

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

Dataversity

NOVEMBER 10, 2021

Data is generated and collected at each one of these – and numerous other – touchpoints. The post 4 Key Steps to Using Customer Data More Effectively appeared first on DATAVERSITY. Customers now interact with brands in a variety of ways. But many companies do not know […].

Data Silos 95

Data Silos Business Intelligence Business Intelligence Analytics 95