ElegantJ BI

OCTOBER 1, 2020

The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. Why is Augmented Data Preparation Important?

Data Discovery 130

Data Discovery Data Warehouse Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 1, 2020

The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. Why is Augmented Data Preparation Important?

Data Discovery 130

Data Discovery Data Warehouse Government Business Intelligence 130

Astera

NOVEMBER 28, 2023

For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback. They can then transform that data into a unified format, and load it into a data warehouse. Facilitating Real-Time Analytics: Modern data pipelines allow businesses to analyze data as it is generated.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

OCTOBER 19, 2023

While all data transformation solutions can generate flat files in CSV or similar formats, the most efficient data prep implementations will also easily integrate with your other productivity business intelligence (BI) tools. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data. Why is quantitative data important?

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Insight Software

MAY 4, 2021

Here is an overview of the SAP reporting tool suite: SAP Business Information Warehouse (BW) – The SAP Business Warehouse is a data repository (data warehouse) designed to optimize the retrieval of information based on large data sets. When you have an urgent need, that can be a disadvantage.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Finance 52

Insight Software

NOVEMBER 18, 2022

For enterprise reporting globally, Oracle Essbase does a great job maintaining the underlying financial data. But when it comes to making sense of this data – organizing, visualizing, and finding the narrative – Essbase has limited capabilities. And without the need for expensive business intelligence tools or IT projects.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support IBM Expert 52

Insight Software

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

JULY 11, 2022

Even with its out-of-the-box reporting, it’s likely you’ll find yourself unable to quickly compile all your critical business data into an agile, customizable report. Generating queries to pull data requires knowledge of SQL, then manual reformatting and reconciling information is a time-consuming process.

IBM Maintenance 52

IBM Maintenance IBM Support Finance Supply Chain 52