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

Sisense

JANUARY 13, 2020

Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations. Manufacturing constantly seeks ways to increase efficiency, reduce costs, and unlock productivity and profitability. It’s easy to see why.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. We also discuss the benefits Ruparupa gained after the implementation.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time. To get started with this feature, see Querying the AWS Glue Data Catalog.

Data Analytics 90

Data Analytics Analytics Data Warehouse Data Lake 90

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

IBM Big Data Hub

MAY 9, 2023

A foundation model thus makes massive AI scalability possible, while amortizing the initial work of model building each time it is used, as the data requirements for fine tuning additional models are much lower. This results in both increased ROI and much faster time to market. Trust is one part of the equation. The second is access.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80