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. Which problems do disparate data points speak to? Enter data warehousing.

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. Enterprise Business Intelligence.

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 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

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. Data Mining and Business Intelligence.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

AUGUST 14, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

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.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Jet Global

JANUARY 15, 2021

Power BI has definite strengths, including its tight integration with the Microsoft stack and strong data visualization capabilities, but the product is not necessarily well-suited to replace traditional reporting or analysis tools, especially so when it comes to financial reporting. Building Customer Stickiness around Reporting.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Jet Global

OCTOBER 2, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

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. Amazon Redshift provides comprehensive data security at no extra cost.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

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

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. This leads to the second option, which is a data warehouse.

Modeling 52

Modeling OLAP Reporting Sales 52

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

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

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.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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 137

Business Intelligence Dashboards Data mining OLAP 137

Jet Global

DECEMBER 1, 2020

Setting up a BI environment and then building and maintaining databases in that environment typically requires highly specialized training that includes understanding programming languages like Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX). Those systems contain valuable information.

Finance 78

Finance Data Warehouse OLAP Reporting 78

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. This also applies to businesses that may not have a data warehouse and operate with the help of a backend database system.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

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. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

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. This also applies to businesses that may not have a data warehouse and operate with the help of a backend database system.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 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 94

Cost-Benefit OLAP Dashboards Visualization 94

Data Virtualization

OCTOBER 28, 2020

Organizations today need a data architecture that can overcome a double challenge: satisfy new business needs that require more agility and self-service capabilities, while at the same time dealing with a growing, diverse, and fast-moving data ecosystem (new data sources,

Data Architecture 59

Data Architecture OLAP Data Warehouse Technology 59

Jen Stirrup

OCTOBER 30, 2022

These propensity models are useful for understanding which customers are most likely to purchase a given set of products. This model can assist in decision making and in focusing marketing efforts. As a first step to customer insight, analytical tools can summarise and aggregate historical information about customers.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Introduction.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. These types of queries are suited for a data warehouse.

Data Warehouse 79

Data Warehouse Data Lake OLAP Cost-Benefit 79

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. These campaigns are optimized by using an AI-based bid process that requires running hundreds of analytical queries per campaign.

Big Data 66

Big Data Data Warehouse Advertising OLAP 66

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

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. Every day, millions of riders use the Uber app, unwittingly contributing to a complex web of data-driven decisions. Consider the magnitude of Uber’s footprint.

OLAP 87

OLAP Data Lake Data-driven Snapshot 87

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

However, the complexity of Microsoft Dynamics data structures serves as a roadblock, making it difficult to use Power BI without a proper connection to your data. Dynamics ERP systems demand the creation of a data warehouse to ensure fast query response times and that data is in a suitable format for Power BI.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

Jet Global

MAY 6, 2022

Their combined utility makes it easy to create and maintain a complete data warehouse solution with very little effort. Jet acts as the perfect conduit between your ERP data and Power BI. Unlock Rapid Data Analysis in PowerBI With Jet. Data models must be refreshed either manually or on a set schedule.

Data Warehouse 52

Data Warehouse Visualization Finance Reporting 52