Jet Global

DECEMBER 2, 2019

The risk of not clearly identifying and defining these: you’ll attempt to use the wrong tools for the job. Both are paramount to business operations and both are required for an enterprise to function, thrive and compete. Therefore, the real magic happens when OLAP cubes are built or delivered from the data warehouse.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Octopai

JANUARY 8, 2020

You can evaluate and mitigate compliance risks. Smart enterprises will keep an eye on this one and invest in the automated tools needed for compliance. For example: – Business forecasting – Accurate, reliable business forecasts are essential for enterprises to determine annual resource allocations. Not Yet CCPA Compliant?

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

Sisense

FEBRUARY 16, 2021

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space. Jinja provides a powerful automatic HTML escaping feature. Sandboxing.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Jet Global

APRIL 20, 2020

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” In the new paradigm, real-time financial reporting tools sit at the center of the business, connecting all of the systems that keep the enterprise running smoothly.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

OCTOBER 7, 2020

Reporting and analytics solutions from insightsoftware eliminate complexity, reduce cost, and decrease the risk of lengthy implementations. Enterprise Business Intelligence. Third-party reporting tools exist to make analytics more flexible and accessible to everyone in an organization.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Sisense

APRIL 21, 2019

It’s used to dig up insights for business users, OLAP cubes, analytics apps, and ad-hoc analyses. A predictive churn model can help you get ahead of the curve by putting time and attention into relationships that are at risk of going sour. This model is great for querying informational indexes as part of a larger data pool.

OLAP 72

OLAP Modeling Manufacturing Marketing 72

erwin

AUGUST 15, 2022

Video: Empower 2021: Mitigating the risk associated with sensitive data across the enterprise. The first and most important thing to recognize and understand is the new and radically different target environment that you are most likely designing a data model when choosing a NoSQL database, namely a data lake or data lakehouse.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Jet Global

JULY 29, 2020

As a heavyweight in the world on enterprise software, Oracle makes a lot of companies scramble any time it decides to stop supporting one of its core products. There is a significant risk with unsupported products. What do your r eports need to include to improve enterprise performance management? What Comes Next?

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Jet Global

MAY 28, 2019

So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise? The good news is, nowadays you can find business intelligence solutions with pre-built data warehouses to eliminate complexity, significantly reduce cost, and decrease risk. All About That (Data)Base. Database vs Data Warehouse.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

erwin

JUNE 7, 2022

Video: Empower 2021: Mitigating the risk associated with sensitive data across the enterprise. Now to cover some data modeling basics that applies no matter whether on-premises or in the cloud. Business Focus. Operational. Operational Tactical. Tactical Strategic. Analytical. Machine Learning. End User Tools. Client Server Web.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Domino Data Lab

JULY 2, 2019

Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?” One clear lesson of the early 21st century: strategies at scale that rely on centralization are generally risks (John Robb explores that in detail in Brave New War which I’ve just been reading – good stuff).

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Jet Global

MAY 1, 2023

CEO Priorities Grow revenue and “hit the number” Manage costs and meet profitability goals Attract and retain talent Innovate and out-perform the competition Manage risk Connect the Dots Present embedded analytics as a way to differentiate from the competition and increase revenue. Present your business case.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

IBM Big Data Hub

SEPTEMBER 25, 2023

Large, untested workloads run the risk of hogging all the resources. As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. Enterprise Management Associates (EMA).

OLAP 90

OLAP Data Lake Data-driven Snapshot 90