Jet Global

APRIL 2, 2019

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions. So how is the data extracted?

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Jet Global

AUGUST 14, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Thanks to The OLAP Report for lots of great market materials. OLAP for the masses, gents?

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Jet Global

OCTOBER 2, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

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.” A few decades ago, technology professionals developed methods for collecting, aggregating, and staging their most important information into data warehouses.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. Thanks to a real-time BI dashboard, you suddenly notice a spate of orders that are coming in with a gross margin of less than 5%.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

FineReport

FEBRUARY 28, 2020

Therefore, business intelligence is a broader category that includes data processing, perform reporting, analytics, and visualization functions. Data analysis is mainly about extracting data from the data warehouse and analyzing it with the analysis methods such as query, OLAP, data mining, and data visualization to form the data conclusion.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Solution overview AWS SCT uses a service account to connect to your Azure Synapse Analytics.

Analytics 99

Analytics Data Warehouse Testing Dashboards 99

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

FineReport

MAY 13, 2020

It is best for tracking marketing activities because DataBox supports dozens of one-click integrations with sources such as Google Analytics, Facebook, Salesforce, Shopify. . It offers a complete framework for producing reports and dashboards from any database without coding. From Google. It allows users to ask questions about data.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Online Analytical Processing (OLAP).

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. Power BI provides users with some very nice dashboarding and reporting capabilities. Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it.

Modeling 52

Modeling OLAP Reporting Sales 52

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Jet Global

DECEMBER 2, 2019

Also known as “analytics,” BI looks at more expansive data relationships, perhaps even between multiple systems that collect data (such as CRM and GP), and identifies trends that can inform strategic business decisions and objectives that will improve overall performance across the entire operation.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Predictive analytics and modeling. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

IBM Big Data Hub

SEPTEMBER 27, 2023

Key use cases Accelerate TDR with AI-powered unified analyst experience (UAX) QRadar Log Insights provides a simplified and unified analyst experience so your security operations team can visualize and perform analytics using all your security-related data, regardless of the location or the type of data source.

Cost-Benefit 98

Cost-Benefit OLAP Dashboards Visualization 98

Jet Global

FEBRUARY 8, 2021

Microsoft Power BI is a popular tool for designing visual dashboards that help everyone in your organization to better understand how the company is performing against key metrics. If you are moving from Microsoft Dynamics NAV, GP, or SL, you will need to adjust to a very different paradigm for reporting and analytics.

Reporting 98

Reporting Dashboards Cost-Benefit OLAP 98

BizAcuity

APRIL 1, 2023

BI consulting comes as a huge relief for organizations because implementing BI and analytics is a time-consuming, capital and labor intensive process that is essential for every business aiming for high-growth and sustainability. And as a result, the number of KPIs being tracked are subjected to increase over time.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

BI consulting comes as a huge relief for organizations because implementing BI and analytics is a time-consuming, capital and labor intensive process that is essential for every business aiming for high-growth and sustainability. And as a result, the number of KPIs being tracked are subjected to increase over time.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

FineReport

JANUARY 6, 2020

The former is more professional in report making, presentation, and printing, while the latter can make OLAP and predict analysis thanks to the BI capabilities. Wide variety of visualization options such as 3D charts, maps, GIS relationships, dashboards. As reporting software, it does not support OLAP. Zoho Analytics.

Reporting 97

Reporting Slice and Dice OLAP Cost-Benefit 97

Sisense

SEPTEMBER 3, 2019

Redshift, like BigQuery and Snowflake, is a cloud-based distributed multi-parallel processing (MPP) database, built for big data sets and complex analytical workflows. OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing).

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. OLAP is a data analysis tool based on data warehouse environment. DASHBOARD REPORTING (by FineReport). Data Analysis. What Kind of Companies Use BI system?.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. DBT: Data Build Tool. Live models run queries directly against the data source.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Jet Global

JULY 29, 2020

OBIEE is a strategic BI tool that provides a web platform with attractive dashboards suitable for C-level needs. Interactive dashboards that provide reports with a rich variety of visualization tools. Nice UI – Great dashboards for C-level executives. Good aggregation – Impressive summary data.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. For a beginner, it’s a lot in one place.

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

BI-Survey

JUNE 5, 2020

Dashboards, which also deliver a strong information push, are available in most companies as well (82 percent). Model-based analysis like OLAP analysis on cubes or ad hoc analysis based on semantic models provides greater flexibility for end users to pull information out of their information landscape. The Last Mile of Analytics.

Reporting 75

Reporting OLAP Interactive Data-driven 75

IBM Big Data Hub

SEPTEMBER 25, 2023

But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. This blog takes you on a journey into the world of Uber’s analytics and the critical role that Presto, the open source SQL query engine, plays in driving their success.

OLAP 90

OLAP Data Lake Data-driven Snapshot 90

Jet Global

MAY 28, 2019

High level, a data warehouse is a collection of business data from multiple sources used optimized for reporting, analytics and decision making. A data warehouse is typically used by companies with a high level of data diversity or analytical requirements. Enhancing a Data Warehouse with Cubes. Database vs Data Warehouse.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

SEPTEMBER 22, 2023

For Microsoft Dynamics customers this means having up-to-date information in Power BI dashboards and the skills to make custom changes when required. Jet Analytics from insightsoftware helps bridge the gap between reporting and data visualization. With Jet Analytics, you can: Collaborate through a single source of truth.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

Jet Global

MAY 6, 2022

An Ideal Match for Your Analytics. Where Jet Reports addresses reporting gaps, Jet Analytics brings all your data together in Power BI, allowing you to analyze trends and forecast scenarios through a channel your executives can easily understand. Providing pre-built OLAP cubes, a data warehouse, and visualized dashboards.

Data Warehouse 52

Data Warehouse Visualization Finance Reporting 52