Jet Global

NOVEMBER 5, 2020

To enhance security, Microsoft has decided to restrict that kind of direct database access in D365 F&SCM and replace it with an abstraction layer comprised of something called “data entities”. For more powerful, multidimensional OLAP-style reporting, however, it falls short.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

FineReport

AUGUST 14, 2020

The reporting system is a general term applied to a wide range of applications that extract data from databases, organize these data into reports, manage and distribute these reports to the decision-makers to help them make better-informed business choices. Making operation and maintenance easy is also of great importance. .

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Jet Global

APRIL 2, 2019

But business intelligence software , built to give businesses the opportunity to collect, unify, sort, tag, analyze, and report on the vast amounts of data at their disposal, must be a focus for businesses hoping to gain an AI advantage down the road. It All Starts with Data. How should data be tagged, sorted, grouped, and analyzed?

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

FineReport

JUNE 24, 2021

Data is the key to gaining great insights for most businesses, but it is also one of the biggest obstacles. Originally, Excel has always been the “solution” for various reporting and data needs. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. One familiar task in most downstream applications is change data capture (CDC) and applying it to its target tables.

Data Warehouse 122

Data Warehouse OLAP Risk Online Analytical Processing 122

Jet Global

OCTOBER 7, 2020

It uses its own data mart, which cannot be customized in any way. Power BI is an analytical tool for data visualization and discovery. When working with D365 F&SCM data, it typically requires specialized programming skills to develop reports or to make changes to existing reports. What Are Data Entities? Tax Codes).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. Data Warehouse. Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Jet Global

APRIL 10, 2019

Well to start, if your current report writing tool is either too hard to use without programming experience, slow to load, has limited formatting options, or doesn’t automatically consolidate all of your data sources – it’s time to replace it. Multi Data Source Consolidation. Data Warehouse and OLAP Cubes.

Reporting 75

Reporting Management OLAP Data Warehouse 75

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 107

Data Warehouse KPI Optimization Cost-Benefit 107

Jet Global

DECEMBER 2, 2019

Not only will this cost you mountains of wasted time, but you’re also in extreme danger of having the wrong data in front of you or giving it to someone else. Wrong data has a domino of consequences from bad business decisions to unaligned operations and auditing implications.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

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. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in.

Analytics 110

Analytics Data Warehouse Dashboards Testing 110

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. As the number of campaigns grew, Aura’s Data team was required to run hundreds of concurrent queries for each of these steps.

Big Data 84

Big Data Data Warehouse Advertising OLAP 84

Jet Global

JUNE 5, 2019

But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Let’s introduce the concept of data mining.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

APRIL 20, 2020

First, accounting moved into the digital age and made it possible for data to be processed and summarized more efficiently. Spreadsheets enabled finance professionals to access data faster and to crunch the numbers with much greater ease. Software tools that support real-time analysis are undergoing a similar transformation today.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

DECEMBER 1, 2020

Finally, you will likely spend a great deal of time formatting and manipulating all of that data so that it is presented in a way that makes sense to the people reading it. A non-developer can easily build a basic data warehouse including OLAP Cube or Tabular Model with Jet Analytics in as little as 30 minutes.

Finance 78

Finance Data Warehouse OLAP Reporting 78

FineReport

FEBRUARY 28, 2020

Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. In the end, display data insights such as reports and visual charts through data presentation.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 86

Analytics Data Warehouse Data Lake Metadata 86

Octopai

JANUARY 8, 2020

Customers can sue companies for violations of CCPA, even if no data breach is involved. From a data management perspective, this means that you must have a handle on where your data is located, what is contained within it, who has access to it, how it’s used, shared, and protected.

Metadata 72

Metadata Key Performance Indicator OLAP Forecasting 72

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

AUGUST 14, 2019

Regardless of where you’re landing in regards to Artificial Intelligence and Business Intelligence, one thing is true: you’ll need to have data to feed both. Without data to act upon, there’s no ‘intelligence’ in AI or BI. Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Sisense

FEBRUARY 16, 2021

Another way of thinking about a data model is like an architect’s blueprint of a building: It helps create a conceptual model that sets the relationship among various data items. Data modeling organizes and transforms data. Data warehouses have become intensely important in the modern business world.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Jet Global

OCTOBER 22, 2020

OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications. As a security measure, Microsoft is closing off direct database access to live Microsoft Dynamics ERP data. This leads to the second option, which is a data warehouse. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

Jet Global

JULY 29, 2020

For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. User interfaces for ERP reporting tools are most often built with IT staff in mind, not the end user. Oracle’s 2014 Statement of Direction laid out its support strategy.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

IBM Big Data Hub

SEPTEMBER 27, 2023

Get a fast track to clarity: Single view with near real-time visibility and interactive dashboards QRadar Log Insights uses a modern open-source OLAP data warehouse, ClickHouse, which ingests, automatically indexes, searches and analyzes large datasets at sub-second speed.

Cost-Benefit 93

Cost-Benefit OLAP Dashboards Visualization 93

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. IT couldn’t find them.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Jet Global

APRIL 30, 2019

In this blog post, we are going to cover Data Entities. Many data entities are aimed at specific areas for reporting. Each of these Customer views contains rows of data from the customer, its related tables, and transaction tables. It’s the only way to get at the data. 4 Common Issues with Using Data Entities.

Finance 73

Finance OLAP Reporting Data Warehouse 73

Jet Global

JANUARY 15, 2021

For most customers, the latter view is probably closer to reality, given some of the major changes that Microsoft is making around data access, customizations, and the platform. As a Microsoft partner, it makes good business sense to decrease the friction that customers might associate with the Microsoft Dynamics ERP cloud migration process.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. On the other hand, it is an equally crucial priority to ensure the security of the data and meeting with the regulatory and compliance requirements.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. On the other hand, it is an equally crucial priority to ensure the security of the data and meeting with the regulatory and compliance requirements.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Domino Data Lab

JULY 2, 2019

The gist is this: given a pandas.DataFrame , suppose you need to need to aggregate the data by performing a `groupby()` on one of the columns and then calculating the means of the grouped values. As the Catalyst paper states, it is “tailored for the complex needs of modern data analysis” which comes in quite handy. Program Synthesis.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

erwin

AUGUST 15, 2022

Moreover, this blog will provide readers with a firm foundation for NoSQL and data lakes as they move to the cloud. As with the part 1 and part 2 of this data modeling blog series, the cloud is not nirvana. I was pricing for a data warehousing project with just 4 TBs of data, small by today’s standards. Business Focus.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

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. Discover Meaning Amid All That Data. Why business intelligence ? Allocate Your Spend More Efficiently.

Business Intelligence 52

Business Intelligence OLAP Sales Data Warehouse 52

Jet Global

OCTOBER 2, 2019

Regardless of where you’re landing in regards to Artificial Intelligence and Business Intelligence, one thing is true: you’ll need to have data to feed both. Without data to act upon, there’s no ‘intelligence’ in AI or BI. Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40