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.” Past performance and current conditions are critically important; but without a view to the road ahead, business leaders risk being blindsided by unexpected developments.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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. Operational.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

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. Client Server.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. For those defending against cyberthreats, things continue to get more complicated.

Cost-Benefit 100

Cost-Benefit OLAP Dashboards Visualization 100

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift has added many features to enhance analytical processing like ROLLUP, CUBE and GROUPING SETS , which were demonstrated in the post Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS.

Data Warehouse 106

Data Warehouse OLAP Risk Online Analytical Processing 106

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. It will save you an unlimited amount of time trying to use the wrong tools for the job and mitigate the risk of getting inaccurate data into your financial statements, operational reports, or analytical dashboards.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Sisense

SEPTEMBER 3, 2019

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

FineReport

JULY 16, 2021

OLAP is a data analysis tool based on data warehouse environment. However, it’s possible that manager may later know that the machine has been down for a long time when the communication is delayed, especially in heavy weather, which could greatly hinder machine maintenance and could lead to the risk of collapsing the river road.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

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

FEBRUARY 8, 2021

Smaller, low-risk, incremental enhancements sound great, right? Power BI can consume Jet Reports output or the Tabular Models or OLAP cubes from Jet Analytics to provide an easy way for developers to create dashboards and analytics, which insulates them from any changes to the underlying BC database. Well, yes and no.

Reporting 98

Reporting Dashboards Cost-Benefit OLAP 98

Jet Global

JULY 29, 2020

There is a significant risk with unsupported products. Fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer is becoming increasingly high. Real-Time Reporting Solutions for Oracle EBS. View Solutions Now. What if there’s a steep user learning curve?

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

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

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. In some cases, the queries run out of memory and do not complete.

OLAP 90

OLAP Data Lake Data-driven Snapshot 90

Jet Global

MAY 28, 2019

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. To manage all the integrated data inside a data warehouse, many companies build cubes (OLAP or tabular) for quick reporting and analysis.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

SEPTEMBER 22, 2023

The skills needed to create a data warehouse are currently in short supply, leading to long lead times, high costs, and unnecessary risks. Pre-built OLAP cubes, tabular models, and a data warehouse. Boost refresh times with star schemas, tabular models, and OLAP cubes. Leverage incremental refresh to optimize resource usage.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

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