Smart Data Collective

JUNE 16, 2022

One of the most valuable tools available is OLAP. Using OLAP Tools Properly. Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Several or more cubes are used to separate OLAP databases. see more ).

Online Analytical Processing 129

Online Analytical Processing OLAP Analytics Data Warehouse 129

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 62

OLAP Slice and Dice Cost-Benefit Data Warehouse 62

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. Solution overview AWS SCT uses a service account to connect to your Azure Synapse Analytics.

Analytics 94

Analytics Data Warehouse Testing Dashboards 94

BI-Survey

JUNE 5, 2020

Model-based analysis like OLAP analysis on cubes or ad hoc analysis based on semantic models provides greater flexibility for end users to pull information out of their information landscape. Figure 1: Which analytical formats does your company currently use, or plan to use in the future? (n=249). The Last Mile of Analytics.

Reporting 75

Reporting OLAP Interactive Data-driven 75

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 Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

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

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. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Jet Global

NOVEMBER 5, 2020

For more powerful, multidimensional OLAP-style reporting, however, it falls short. OLAP reporting has traditionally relied on a data warehouse. OLAP reporting based on a data warehouse model is a well-proven solution for companies with robust reporting requirements. Azure Data Lakes are complicated.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

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. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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

FineReport

MAY 13, 2020

It is best for tracking marketing activities because DataBox supports dozens of one-click integrations with sources such as Google Analytics, Facebook, Salesforce, Shopify. . Databox is a free cloud-based BI tool that provides a single interface for marketers, CEOs, analysts to track KPIs and generate reports. .

OLAP 105

OLAP KPI Data mining Business Intelligence 105

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 65

Big Data Data Warehouse Advertising OLAP 65

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

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. QlikView is Qlik’s classic analytics solution, built on the company’s Associative Engine. Analytics, Data Science

Data mining 130

Data mining Data-driven Statistics OLAP 130

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

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 101

Data Warehouse OLAP Risk Online Analytical Processing 101

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes. Data Mining and Business Intelligence.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

APRIL 10, 2019

To show you exactly what you will gain by replacing MR with Jet, we’ve compared specific features in three of our products (Jet Basics, Jet Reports and Jet Analytics) with the features you are currently using. Option 3: Jet Analytics. Jet Analytics. Data Warehouse and OLAP Cubes. Option 1: Jet Basics. Management Reporter.

Reporting 75

Reporting Management OLAP Data Warehouse 75

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. OLAP for the masses, gents?

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

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 insightsoftware Brings to the Table.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Jedox

DECEMBER 3, 2020

In a recent web survey conducted by Jedox, 40% of FP&A professionals reported that disconnected data sources are their primary pain point for their data analytics. A modern planning solution should enable seamless connection of your data sources and allow your organization to minimize reliance on your in-house IT department.

OLAP 56

OLAP Cost-Benefit Data-driven Finance 56

Jet Global

DECEMBER 2, 2019

Also known as “analytics,” BI looks at more expansive data relationships, perhaps even between multiple systems that collect data (such as CRM and GP), and identifies trends that can inform strategic business decisions and objectives that will improve overall performance across the entire operation. Request a Free Personalized Demo.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Octopai

DECEMBER 22, 2019

Named by Solutions Review as an Analytics Vendor to Watch, 2020. Named by CRN as a Top 10 Data Analytics Company to Watch. Expanded our support of Microsoft OLAP cube , an innovative open-source feat. Announced our metadata management automated solution support across the entire Microsoft BI Stack.

Metadata 54

Metadata Management OLAP Data Governance 54

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

Jet Global

DECEMBER 1, 2020

With Jet Analytics from insightsoftware , users in the finance and accounting department can connect easily to Microsoft Dynamics data (and to other data sources) to get immediate access to all of the information they need for robust reporting and analysis. The Easy Path to BI. Those systems contain valuable information.

Finance 78

Finance Data Warehouse OLAP Reporting 78

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. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

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

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

Smart Data Collective

APRIL 2, 2019

Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. Data lakes were designed to be agile and provide analytics data on the fly while processing incoming data at a remarkable speed.

Data Lake 82

Data Lake Big Data OLAP Testing 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. This is especially true of finance teams, which serve as the go-to analytical resources for the rest of the company in most cases.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 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

Jet Global

JANUARY 15, 2021

In many respects, it is more akin to some of the very complex data warehousing and OLAP tools of the past–perhaps with an even steeper learning curve. Jet Analytics is a complete reporting and analytics platform that works with the entire family of Microsoft Dynamics products. Building Customer Stickiness around Reporting.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Ontotext

JUNE 10, 2021

To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP). If you want to solve interesting problems beyond basic data analytics, you are going to need formal semantics and that means schemas.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Sisense

NOVEMBER 12, 2020

However, if the goal is to perform complex analytics on large sets of data from disparate sources, a warehouse is the better solution. Before we look at modern data warehouses, it’s important to understand where data warehouses started to see why cloud data warehouses solve many analytics challenges. Traditional vs. Cloud Explained.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Jen Stirrup

OCTOBER 30, 2022

As a first step to customer insight, analytical tools can summarise and aggregate historical information about customers. One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing). This model can assist in decision making and in focusing marketing efforts.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75