AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Octopai

AUGUST 30, 2020

We’re talking end-to-end results in one screen starting from the very first source system all the way through to the different reports. The automated business glossary was awesome before, but now we’ve expanded coverage to the entire BI landscape – meaning DWH, ETL, analysis services and reports are all centralized inside the ABG.

OLAP 58

OLAP Metadata Visualization Data Processing 58

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. Reference (Ex. In this blog post, we are going to cover Data Entities.

Finance 73

Finance OLAP Reporting Data Warehouse 73

Jet Global

JANUARY 15, 2021

In this respect, we often hear references to “switching costs” and “stickiness.” Reporting as a Key Cost-driver. Virtually every ERP implementation or upgrade requires substantial effort to design, build, or modify, and then to test reports. There are numerous soft costs involving risk and potential business disruption.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Jet Global

AUGUST 14, 2019

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

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

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. But on the whole, BI is more concerned with the whats and the hows than the whys.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Jet Global

OCTOBER 2, 2019

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

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. We’ve been delivering powerful reporting, planning, and BI tools for over three decades.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

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. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 137

Business Intelligence Dashboards Data mining OLAP 137

FineReport

MAY 13, 2020

I listed 10 BEST Free and Open Source BI Tools for you as a reference. The most distinct is its reporting capabilities. Because FineReport can be seamlessly integrated with any data source, it is convenient to import data from Excel in batches to empower historical data or generate MIS reports from various business systems.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

AWS Big Data

OCTOBER 18, 2023

Analyze the assessment report and address the action items. To create it, refer to Tutorial: Get started with Amazon EC2 Windows instances. To download and install AWS SCT on the EC2 instance that you created, refer to Installing, verifying, and updating AWS SCT. Connect to the Amazon Redshift target. Choose Create bucket.

Analytics 94

Analytics Data Warehouse Testing Dashboards 94

BizAcuity

APRIL 1, 2023

KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Sisense

SEPTEMBER 3, 2019

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Jet Global

APRIL 19, 2021

Data warehouse automation refers to the process of automating each part of the data warehouse lifecycle by minimizing manual code writing and automating the repetitive, labor-intensive, time-consuming tasks normally associated with a data warehouse. What is Data Warehouse Automation? Reclaim Developer Hours.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

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

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

Jet Global

MAY 28, 2019

The success of any business into the next year and beyond will depend entirely on the volume, accuracy, and reportability of the data they collect—and how well the business can analyze, extract insight from, and take action on that data. Table-based reporting routinely causes performance issues as well, particularly with large data sets.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52