AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 108

Data Lake Metadata Snapshot Recreation/Entertainment 108

FineReport

MAY 31, 2023

Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively. Finance and accounting teams often deal with data residing in multiple systems, such as accounting software, ERP systems, spreadsheets, and data warehouses.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Jet Global

JANUARY 9, 2020

Business intelligence (BI) analytic tools have been all of the rage for years now. They can make your business data pretty and easy to understand, no doubt. But what’s the business value of highly visualized data if it’s not accurate or if it doesn’t connect you to your actual business strategy?

Management 52

Management Analytics Visualization Dashboards 52

CIO Business Intelligence

MARCH 28, 2024

The integration enables a daily import of core financial and inventory data from Simphony into NetSuite, the company said, adding that this helps enterprises to consolidate financial reporting, streamline cash reconciliation, and eliminate time spent on manual data integrations.

Snapshot 103

Snapshot Sales Finance Enterprise 103

AWS Big Data

JULY 19, 2023

We have identified the following numerical facts to measure: Quantity of tickets sold per sale Commission for the sale Implementing the Fact There are three types of fact tables (transaction fact table, periodic snapshot fact table, and accumulating snapshot fact table). Each serves a different view of the business process.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

DataKitchen

MAY 10, 2021

Figure 1: The process of transforming raw data into actionable business intelligence is a manufacturing process. When something goes wrong, you need to know about it as it’s happening to ensure that errors don’t reach customers or business partners. Tie tests to alerts. Location Balance Tests.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

JULY 20, 2023

These data pipelines generate valuable insights and curated data that are stored in Apache Iceberg tables for downstream usage. This data is then used by various applications for streaming analytics, business intelligence, and reporting. These files are then reconciled with the remaining data during read time.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88