Octopai

JANUARY 21, 2020

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. However, over time new technologies and tools developed to ease data reporting and analysis. Complete data lineage on OLAP cube.

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

Octopai

DECEMBER 22, 2019

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. Named by CRN as a Top 10 Data Analytics Company to Watch.

Metadata 54

Metadata Management OLAP Data Governance 54

Octopai

JANUARY 8, 2020

Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze. Keeping the Lights On with Automated Metadata Management. Not Yet CCPA Compliant?

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

Octopai

AUGUST 30, 2020

We’re talking end-to-end results in one screen starting from the very first source system all the way through to the different reports. Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. We call this feature: Expand.

OLAP 58

OLAP Metadata Visualization Data Processing 58

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Jet Global

DECEMBER 1, 2020

Finance teams often work with business intelligence (BI) tools to analyze data, identify trends, pinpoint discrepancies, and build informative, compelling reports for management. Microsoft Excel is a phenomenal tool for ad hoc analysis and reporting.

Finance 78

Finance Data Warehouse OLAP Reporting 78