DataKitchen

AUGUST 27, 2021

Part of the data team’s job is to make sense of data from different sources and judge whether it is fit for purpose. Figure 3 shows various data sources and stakeholders for analytics, including forecasts, stocking, sales, physician, claims, payer promotion, finance and other reports. DataOps Success Story.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

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 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

Andrew White

JANUARY 11, 2021

With a success behind you, sell that experience as the kind of benefit you can help improve. 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. I didn’t mean to imply this. Policy enforcement.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

JULY 13, 2023

One of the biggest benefits of having an ERP is the native reporting functionality many of them offer. This costs valuable time, making the month-end close process stretch from days to weeks. This needlessly occupies valuable time you could devote instead to analysis and forecasting.

Finance 52

Finance Reporting Software Forecasting 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

APRIL 3, 2024

Understanding the cloud’s benefits and choosing the right solution is paramount your organization navigates into the cloud era. Cloud-based solutions can automate tasks such as data collection, reconciliation, and reporting.

Reporting 52

Reporting Cost-Benefit Software Forecasting 52