Sisense

OCTOBER 6, 2020

These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? Qualitative data benefits: Unlocking understanding.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Data Pine

OCTOBER 30, 2019

Usually created with past data without the possibility to generate real-time or future insights, these reports were obsolete, comprised of numerous external and internal files, without proper data management processes at hand. The rise of innovative report tools means you can create data reports people love to read.

Visualization 51

Visualization Retail Data Visualization Government 51

Astera

NOVEMBER 28, 2023

These could be to enable real-time analytics, facilitate machine learning models, or ensure data synchronization across systems. Consider the specific data requirements, the frequency of data updates, and the desired speed of data processing and analysis.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Data Pine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

APRIL 24, 2024

Limited visualization capabilities compared to other data aggregation tools Limited collaboration features Steep learning curve for some advanced features Best for: Researchers and data analysts across diverse sectors. Key Features: Aggregate awareness Integrated data exploration GUI with visual profiling and insight tools.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 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

Insight Software

MAY 4, 2021

SAP Analysis for Office is a reasonably good tool for getting a surface-level view of ERP data, but it is simply not flexible enough to provide for the sophisticated needs of analysts in finance and accounting. BusinessObjects cannot support real-time data changes, making it unwieldy for ad hoc reporting.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Finance 52