Data Pine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? The future is bright for logistics companies that are willing to take advantage of big data. Now’s the time to strike.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

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

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. Qualitative data can go where quantitative data can’t.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Astera

OCTOBER 27, 2023

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

NOVEMBER 1, 2023

Data warehouses offer numerous advantages for organizations that need to manage and analyze large volumes of data. Here are some of the key advantages of using a data warehouse: Business intelligence and analytics: Data warehouses consolidate diverse data sources and enable in-depth analysis, reporting, and decision-making.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

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

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

Insight Software

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. that gathers data from many sources. Requirement ODBC/JDBC Used for connectivity.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 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