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

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

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

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. This data must also reflect the initial creation time and last update time for auditing and tracking purposes.

Data Warehouse 108

Data Warehouse OLAP Risk Online Analytical Processing 108

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 137

Data mining Data-driven Statistics OLAP 137

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 143

Business Intelligence Dashboards Data mining OLAP 143

Smart Data Collective

JUNE 16, 2022

One of the most valuable tools available is OLAP. This tool can be great for handing SQL queries and other data queries. Every data scientist needs to understand the benefits that this technology offers. Using OLAP Tools Properly. Several or more cubes are used to separate OLAP databases. see more ).

Online Analytical Processing 129

Online Analytical Processing OLAP Analytics Data Warehouse 129

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

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

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

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

OLAP 63

OLAP Slice and Dice Cost-Benefit Data Warehouse 63

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. It All Starts with Data. Without data to act upon, there’s no ‘intelligence’ in AI or BI. How should data be tagged, sorted, grouped, and analyzed?

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. As ERP moves to the cloud, software vendors are developing more sophisticated, interconnected ways of gathering, organizing, and analyzing business data. OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications.

Modeling 52

Modeling OLAP Reporting Sales 52

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. Option 3: Jet Analytics. Jet Analytics. Multi Data Source Consolidation.

Reporting 75

Reporting Management OLAP Data Warehouse 75

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

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

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. Toiling Away in the Data Mines.

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

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. Analytical.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

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.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

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

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

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 Sales OLAP Data Warehouse 52

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. Many data entities are aimed at specific areas for reporting. It’s the only way to get at the data. Document (Ex. Opening Balances).

Finance 73

Finance OLAP Reporting Data Warehouse 73

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. For reports developers, the business data is too scattered to utilize.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Smarten

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

Jen Stirrup

OCTOBER 30, 2022

What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Computers contain lots of data, but people need help to turn this data into intelligence.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 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

Jet Global

APRIL 19, 2021

Executives increasingly rely on data and advanced analytics to make business decisions. They also need the ability to access and parse that data faster and in more creative ways. Meanwhile, the data that businesses have access to and the number of systems producing that data are growing at lightspeed.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. 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

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. That speaks to the remarkable learning curve aspects of SQL, how oh-so-much data munging can be performed without having to sweat the details.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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

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. Data Security.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

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. Data modeling organizes and transforms data.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

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 104

Cost-Benefit OLAP Dashboards Visualization 104

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