Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it. OLAP Cubes vs. Tabular Models. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

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. Enter data warehousing.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Jet Global

JUNE 5, 2019

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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. As reporting software, it does not support OLAP. Zoho Analytics. Zoho Analytics is a cloud-based self -service BI with reporting capabilities. Agency Analytics.

Reporting 97

Reporting Slice and Dice OLAP Cost-Benefit 97

AWS Big Data

MARCH 20, 2023

Top line revenue refers to the total value of sales of an organization’s services or products. In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. An important goal to achieve for any organization is to grow the top line revenue.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Jet Global

DECEMBER 2, 2019

Reports tend to narrowly focus on a specific operation or dataset for a period (monthly sales, daily customer orders, weekly open AP, etc.). However, there are multiple ways and preferences to calculating and analyzing COGs, which subsequently affects everything from summary income statements to sales analysis.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

AWS Big Data

JUNE 21, 2023

Suppose we have a successful ecommerce application handling a high volume of sales transactions in DynamoDB. A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis. The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries.

Data Warehouse 82

Data Warehouse Data Lake OLAP Cost-Benefit 82

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. Sales and customer service interactions are tracked in CRM. Spot Problems (and Opportunities) Early.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

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. The Data Entity Store.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Jet Global

AUGUST 14, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

DECEMBER 1, 2020

Furthermore, it can be challenging to draw the proper connections between header tables (for example, the table that contains one record per sales invoice) and the associated detail tables (for example, the line item details associated with each of those invoices). The Easy Path to BI. Those systems contain valuable information.

Finance 78

Finance Data Warehouse OLAP Reporting 78

Jet Global

APRIL 20, 2020

CRM software has gone through a similar transformation, starting with sales force automation, and more recently evolving into a new breed of products that support digital marketing campaigns through email, social media, and online advertising. Over the past few decades, however, technology has been closing that gap.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

erwin

JUNE 7, 2022

In fact, many commonly accepted best practices for designing OLTP databases could well be considered worst practices for these purely analytical systems. Analytical. Figure 3: A data model of an OLTP point-of-sale system. This is a data model of an OLTP convenient store point-of-sale and ordering system. Business Focus.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

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. Database vs Data Warehouse. Let’s look at why: Data Quality and Consistency.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

APRIL 30, 2019

Built from the bones of Dynamics AX, the cloud-based Dynamics 365 Finance & Operations (D365FO) has introduced some new out-of-the-box reporting and analytical capabilities to customers. What Jet Analytics Brings to the Table. With Jet Analytics, we provide an easy-to-setup pre-packaged set of data entities with our solution.

Finance 73

Finance OLAP Reporting Data Warehouse 73

Jet Global

OCTOBER 2, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

JANUARY 15, 2021

While you are presumably already at an advantage when competing in a sales process with your existing customers, it still helps to tip the scales in your direction by making it economically attractive for your customers to stay the course and remain in the Microsoft camp. Building Customer Stickiness around Reporting.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

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. In such way, BI supports business decision maker to develop strategic and operational insights more effectively.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98