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 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Sisense

JANUARY 13, 2020

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Can’t get to the data. However, there are ways to get around this.

Big Data 108

Big Data Data-driven Recreation/Entertainment Data Governance 108

AWS Big Data

FEBRUARY 22, 2023

AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code. The initial data warehouse design in Ruparupa only stored transactional data, and data from other systems including user interaction data wasn’t consolidated yet.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

AWS Big Data

MARCH 25, 2024

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. To better understand this, imagine a chatbot that helps travelers book their travel. versions).

Data Lake 98

Data Lake Unstructured Data Management Snapshot 98

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 10, 2022

Not only is there more data to handle, but there’s also the need to dig deep into it for insights into markets, trends, inventories, and supply chains so that your organization can understand where it is today and where it will stand tomorrow. The numbers show that finance professionals want more from their operational reporting tools.

Operational Reporting 52

Operational Reporting Reporting Finance Software 52

Jet Global

AUGUST 12, 2022

This eliminates multiple issues, such as wasted time spent on data manipulation and posting, risk of human error inherent in manual data handling, version control issues with disconnected spreadsheets, and the production of static financial reports.

Finance 52

Finance Reporting Operational Reporting Forecasting 52

Jet Global

MAY 2, 2022

A simple formula error or data entry mistake can lead to inaccuracies in the final budget that simply don’t reflect consensus. Connected data enables rapid, effective, accurate collaboration among stakeholders throughout the organization. With the best planning and budgeting tools, everyone is operating on the same page.

Sales 52

Sales Finance Reporting Software 52