Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? What’s In a Name? Let’s take a closer look.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

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

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. The following diagram is a conceptual analytics data hub reference architecture. External processes are the spokes feeding data to and from the hub. Data repositories represent the hub.

Analytics 93

Analytics Data Warehouse Data Lake Metadata 93

Octopai

JANUARY 21, 2020

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. Saving time and headaches with online analytical processing tool. However, over time new technologies and tools developed to ease data reporting and analysis.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

AWS Big Data

SEPTEMBER 22, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. In most analytic queries that use window functions, you may need to use those window functions in your WHERE clause as well. Ranjan Burman is an Analytics Specialist Solutions Architect at AWS.

Data Warehouse 124

Data Warehouse OLAP Risk Online Analytical Processing 124

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.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

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. Amazon Redshift Serverless makes it straightforward to run and scale analytics in seconds without the need to set up and manage data warehouse clusters.

Big Data 89

Big Data Data Warehouse Advertising OLAP 89

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Businesses can use data mining to find the information they need and use business intelligence and analytics to determine why it is important. READ BLOG POST.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Predictive analytics and modeling. The more and more popular concept of predictive analytics is to predict what will happen in the future. Business intelligence solutions examples (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. Online Analytical Processing (OLAP). JasperSoft for Big Data Analytics. Insights can also be shared externally with a single click. Ad Hoc Analysis.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Jet Global

SEPTEMBER 4, 2020

Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

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

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

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. Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Octopai

DECEMBER 15, 2019

One of the biggest challenges facing data analytics teams is how to reconcile data that arrives from different sources which contains different metadata lineage information. Online analytics processing will further enable advanced analytics as these technologies continue to improve through 2020 and beyond that.

Enterprise 52

Enterprise Metadata Online Analytical Processing Business Intelligence 52

AWS Big Data

AUGUST 1, 2024

As data volumes continue to grow exponentially, traditional data warehousing solutions may struggle to keep up with the increasing demands for scalability, performance, and advanced analytics. Query consumption Response time Response time SLA for query patterns (dashboards, SQL analytics, ML analytics, BI tool caching).

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

Sisense

NOVEMBER 12, 2020

If there’s a need for data storage and processing of transactional data that serves an application, then an OLTP database is great. However, if the goal is to perform complex analytics on large sets of data from disparate sources, a warehouse is the better solution. The primary differentiator is the data workload they serve.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

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. Let’s begin with an overview of how data analytics works for most business applications.

Modeling 52

Modeling OLAP Reporting Sales 52

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. 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. DBT: Data Build Tool. Sisense data models. The benefits of DBT with Jinja.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

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

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. In our analytic use case, if we are analyzing quarterly growth rates, we may only need a couple of years’ worth of data; the rest can be unloaded into the data lake.

Data Warehouse 103

Data Warehouse Data Lake OLAP Cost-Benefit 103

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 86

OLAP Data Lake Data-driven Online Analytical Processing 86

AWS Big Data

MARCH 13, 2025

StarTree is a managed alternative that offers similar benefits for real-time analytics use cases. We highlight the key distinctions between open-source Pinot and StarTree, and provide valuable insights for organizations considering a more streamlined approach to their real-time analytics infrastructure.

Management 73

Management Analytics OLAP Online Analytical Processing 73

Jet Global

MAY 4, 2021

As the first in-memory database for SAP, HANA was revolutionary, bringing together the best characteristics of both traditional online transaction processing and online analytical processing. That, in turn, requires the involvement of IT experts in the process. An Overview of SAP S/4HANA Reporting Tools.

Reporting 52

Reporting IT Finance Data Warehouse 52