datapine

MAY 21, 2019

Download our game-changing summary and see your company grow! In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. Check out this investor relations dashboard example below, part of our management dashboard series: **click to enlarge**.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 92

Management Data Warehouse Metrics Dashboards 92

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 109

Data Warehouse Cost-Benefit Sales Data-driven 109

FineReport

NOVEMBER 17, 2021

Free Download. Report and Dashboard. Tableau : In Tableau, charts and series are separated, and users can customize the related attribute operations and can adjust the series in the layout whether it is mobile terminal or PC terminal, so the customization of dashboard layout is relatively strong. FineReport. FineReport.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

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

Jet Global

MARCH 25, 2020

While JD Edwards transactional data is required to run period close reports, analyze trends, and prepare forecasts for planning and budgeting, it comes with a lot of complexity. JD Edwards World has no less than 1600 tables of data to support just its business applications. 1 – What are all your reporting needs? .

Reporting 45

Reporting Finance Sales Visualization 45

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. Free Download. Supply Chain Dashboard (by FineReport). Free Download.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 63

Modeling Data Warehouse Machine Learning Testing 63

Jet Global

OCTOBER 10, 2019

Whether you are using the free desktop version or the paid professional version, one of the biggest challenges with Power BI is customizing your dashboards and reports to fit your analytical requirements. When creating or editing a Power BI dashboard, you have access to a ton of different types of visuals.

Visualization 56

Visualization Dashboards KPI Reporting 56

Jet Global

APRIL 2, 2019

But business intelligence software , built to give businesses the opportunity to collect, unify, sort, tag, analyze, and report on the vast amounts of data at their disposal, must be a focus for businesses hoping to gain an AI advantage down the road. It All Starts with Data. Which problems do disparate data points speak to?

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Jet Global

FEBRUARY 5, 2019

After working with many Microsoft Dynamics ERP clients who have faced data quality struggles, we’ve put together a list of 5 top warning signs that there’s something wrong with the data you are using every day. . You are having difficulty securing executive buy-in because report and budget a pprovals are constantly delayed .

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

Octopai

MAY 5, 2020

Moreover, the levels of frustration are through the roof as BI & Analytics teams spend more time searching for their data than actually analyzing it. Therefore it comes as no surprise that out of 276 BI experts, a whopping 76% of them reported that automation of metadata operations was a number-one need for BI teams.

Metadata 52

Metadata Reporting Data Warehouse Management 52

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. So how is the data extracted?

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Octopai

FEBRUARY 12, 2020

Having a data dictionary means any potential user will be able to understand the data in a data warehouse. By defining the metadata that is created by the data stored in the system, you can isolate relevant information and identify which variables impact the results of the data. Download Now.

Metadata 54

Metadata Enterprise Management Data Warehouse 54

erwin

FEBRUARY 28, 2024

Examples of complementary technologies include technology for data warehouse automation, change data capture and master data management. For data governance, it’s more complex. Ready to mature your data intelligence efforts?

Metadata 52

Metadata Data Governance Data Quality Technology 52

AWS Big Data

APRIL 20, 2023

Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

Jet Global

DECEMBER 8, 2020

Although there are a lot of things to like about Microsoft’s flagship analytics platform, any company that plans to build its financial reporting and analytics on Power BI should plan for the kind of cost, complexity, and risk that comes with a large-scale software project. Power BI doesn’t come with any reports out of the box.

Finance 52

Finance Risk Reporting Software 52

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. So how is the data extracted?

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

FineReport

NOVEMBER 25, 2020

Dashboard reporting refers to putting the relevant business metrics and KPIs in one interface, presenting them visually, dynamic, and in real-time, in the dashboard formats. This article will review the best 10 dashboard tools covering different areas, including open source and free software. What Makes a Great Dashboard?

Dashboards 98

Dashboards Reporting Visualization Snapshot 98

Jet Global

OCTOBER 30, 2020

For leaders in the finance and accounting department, it can often be frustrating to have conversations with IT experts about your reporting needs. Reporting: A Few Technical Basics. Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.”

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

AWS Big Data

JANUARY 24, 2023

Business teams can gain meaningful insights by simplifying their reporting through web applications and distributing it to a broader audience. Use cases can include the following: Dashboarding – A webpage consisting of tables and charts where each component can offer insights to a specific business department.

Analytics 57

Analytics Data-driven Management Reporting 57

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. You don’t need to worry about workloads such as ETL (extract, transform, and load), dashboards, ad-hoc queries, and so on interfering with each other.

Analytics 93

Analytics Data Warehouse Testing Dashboards 93

Cloudera

JUNE 7, 2021

Distributed real time data warehouse – Join streaming data as facts with batch data as dimensions via materialized views. For instance, performing enriched click stream analysis, or joining sensor data with historical measurements. Download your copy of the report now.

Analytics 63

Analytics Manufacturing Measurement IoT 63

CIO Business Intelligence

OCTOBER 19, 2023

With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. You can drill into data, create a variety of visualizations, and (literally) ask questions about it using AI.

Slice and Dice 127

Slice and Dice Scorecard Metrics Visualization 127

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. REPORT FILLING.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

FineReport

DECEMBER 27, 2021

Dashboards and visualizations are the primary user interfaces of many tools and platforms. Enterprise BI typically functions by combining enterprise data warehouse and enterprise license to a BI platform or toolset that business users in various roles can use. Enterprise BI dashboard by FineReport. Free Download.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

Occam's Razor

JANUARY 30, 2012

When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

Jet Global

JANUARY 20, 2021

Many companies would like to run reports against historical information held in a legacy database that is no longer operational. When you involve multiple software systems, multiple data models are inevitably present as well. Sources of Data Imperfection. Dynamic data can also create challenges.

Data Analytics 95

Data Analytics Management Analytics Data Warehouse 95

Jet Global

JULY 11, 2019

In order to understand demand and accurately predict supply, most companies adopt a business intelligence solution to assist with data preparation, data consolidation, analysis, and reporting. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data. Data Consolidation.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

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

OCTOBER 22, 2020

Power BI provides users with some very nice dashboarding and reporting capabilities. Unfortunately, it also introduces a mountain of complexity into the reporting process. Let’s begin with an overview of how data analytics works for most business applications. This leads to the second option, which is a data warehouse.

Modeling 52

Modeling OLAP Reporting Sales 52

Cloudera

JANUARY 21, 2021

Does your organization’s success depend on immediate delivery of new reports, applications, or projects? While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Do you need faster time to value?

Data Lake 95

Data Lake Data Warehouse IT Analytics 95

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Our team is focused on delivering insights and useful reporting to internal teams.

Metrics 52

Metrics Dashboards Sales Reporting 52