DataKitchen

AUGUST 27, 2021

During the product launch, everyone in the sales and marketing organizations is hyper-focused on business development. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. The data team must be able to respond rapidly and with a high degree of quality and certainty to user requests.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

DataKitchen

JANUARY 3, 2022

Customers and market forces drive deadlines and timeframes for analytics deliverables regardless of the level of effort required. Business analytic teams field an endless stream of questions from marketing and salespeople and they can’t get ahead. DataOps is effectively a “ process hub ” that creates, manages and monitors the data hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. Adopt an approach of access segregation.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Digging into quantitative data. This is quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

DataKitchen

NOVEMBER 29, 2021

The global AI market is projected to grow at a compound annual growth rate (CAGR) of 33% through 2027 , drawing upon strength in cloud-computing applications and the rise in connected smart devices. For example, a Hub-Spoke architecture could integrate data from a multitude of sources into a data lake. AI Accountability.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58