FineReport

AUGUST 14, 2020

When mentioning the reporting, folders loaded with spreadsheets, graphs, and commentaries may ring a bell. With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. What is the Reporting System? Software to Build Reporting System.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It can be used with both on-premise and multi-cloud environments.

Risk 79

Risk Modeling Management Metadata 79

FineReport

SEPTEMBER 3, 2020

For most companies, using Excel to create reports is the most common reporting solution. However, with the growing amount of data from many sources, the pain points of using Excel are more and more apparent. For example, data collection is time-consuming, and the data from scattered business systems can not be integrated.

Reporting 95

Reporting Dashboards Visualization Data Warehouse 95

AWS Big Data

MARCH 29, 2024

Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization.

Metrics 108

Metrics Visualization Dashboards Interactive 108

FineReport

FEBRUARY 28, 2020

What Is Enterprise Reporting? Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. Common Problems With Enterprise Reporting.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

FineReport

DECEMBER 17, 2019

In this article, I review some of the top free and open source reporting tools. These reporting tools have many advantages: low cost, meeting basic reporting needs, having a dedicated discussion board to solve user problems… 1.FineReport. The data entry function makes this reporting software distinctive from others.

Reporting 98

Reporting Dashboards Visualization Cost-Benefit 98

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

FineReport

FEBRUARY 12, 2020

The design of reports can be considered from two aspects: layout and system. You may have seen many articles emphasize how to improve the layout of the report. Today, let’s learn the report designing from the perspective of the report system. The Basics of Report Designing . The Basics of Report Designing .

Reporting 98

Reporting Metrics ROI KPI 98

CIO Business Intelligence

JULY 18, 2022

Central to Byrdak’s multi-year transformation plan is the expansion of MealConnect, the first nationally available food rescue and sourcing platform, and a new data warehouse to anchor an analytics offering that helps food banks analyze and visualize their food sourcing and distribution data.

Data Warehouse 141

Data Warehouse Dashboards Reporting Manufacturing 141

Laminar Security

APRIL 18, 2023

For many, it’s become common to have petabytes of data distributed within the cloud. Yet, managing this diverse environment creates challenges for the security, privacy and governance teams charged with protecting data. This enables centralized data security teams and CISOs to see where the biggest security gaps are.

Enterprise 52

Enterprise Management Dashboards Snapshot 52

Cloudera

OCTOBER 4, 2023

Ability to handle complex analytic queries — especially when we’re using real-time analytics to augment existing business dashboards and reports with large, complex, long-running business intelligence queries typical for those use cases, and not having the real-time dimension slow these down in any way. Kudu has this covered.

Data Warehouse 86

Data Warehouse Experimentation Cost-Benefit Dashboards 86

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. ERP dashboards.

Data mining 144

Data mining Data-driven Statistics OLAP 144

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. dbt enables you to write SQL select statements, and then it manages turning these select statements into tables or views in Amazon Redshift.

Data Warehouse 108

Data Warehouse Testing Data Quality Reporting 108

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Data is made queryable in real time.

Metrics 85

Metrics Slice and Dice Data Warehouse Dashboards 85

FineReport

MARCH 21, 2020

Do you have the same problem with daily, weekly, or monthly reports? I summarized the problems typical with many daily, weekly, and monthly reports I have these years. . The process of data collection is time-consuming. Usually, the data is stored in Excel. Many report styles in the company are the same.

Reporting 91

Reporting Data Warehouse Manufacturing Enterprise 91

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. The email is formatted via HTML output that provides tables for the aggregated job run data.

Reporting 70

Reporting Metrics Optimization Data Lake 70

FineReport

DECEMBER 25, 2019

Reports are the basic business requirements of an enterprise. It can help enterprises make better use of data if different data can be presented by appropriate reports. Top 10 Types of Report. Detail Report. Top 10 Types of Report. Detail Report. Group Report. Pagination Report.

Reporting 98

Reporting Metrics ROI KPI 98

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 114

Data Warehouse Cost-Benefit Sales Data-driven 114

Smart Data Collective

OCTOBER 27, 2021

The data is ever-increasing, and getting the deepest analytics about their business activities requires technical tools, analysts, and data scientists to explore and gain insight from large data sets. Interactive analytics applications make it easy to get and build reports from large unstructured data sets fast and at scale.

Interactive 114

Interactive Unstructured Data Analytics Data Warehouse 114

CIO Business Intelligence

OCTOBER 17, 2023

In an effort to help enterprises analyze data faster, NetSuite is adding new features to its Analytics Warehouse, which is built on Oracle’s Autonomous Data Warehouse and the Oracle Analytics Cloud. The company has added a new set of capabilities under the umbrella of NetSuite Enterprise Performance Management (EPM).

IT 131

IT Finance Sales Enterprise 131

Juice Analytics

NOVEMBER 11, 2021

The symptoms we see are varied: lack of management support, lack of end-user adoption; poorly defined requirements; data warehouse projects that never seem to finish. And for each of these problems, the data industry has crafted different “solutions” or technologies to try to address them.

Dashboards 137

Dashboards Data Warehouse Reporting Technology 137

AWS Big Data

NOVEMBER 20, 2023

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. Sean Ma is a Principal Product Manager on the AWS Glue team.

Metrics 98

Metrics Data Lake Cost-Benefit Dashboards 98

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. Data lakes are more focused around storing and maintaining all the data in an organization in one place. A data warehouse is one of the components in a data hub.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany wants to build a new dashboard with quote history data for analysis and business insights.

Dashboards 76

Dashboards Data Warehouse Visualization Data Processing 76

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 Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

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. Data Entities. 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

FineReport

JULY 28, 2021

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. financial dashboard (by FineReport). What is Data Science?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Octopai

FEBRUARY 12, 2020

Like any good puzzle, metadata management comes with a lot of complex variables. That’s why you need to use data dictionary tools, which can help organize your metadata into an archive that can be navigated with ease and from which you can derive good information to power informed decision-making. . Why Have a Data Dictionary? #1

Metadata 54

Metadata Enterprise Management Data Warehouse 54

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 97

Dashboards Visualization Data Warehouse Data Lake 97

Smart Data Collective

APRIL 15, 2021

Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports. Because employees of many different departments will be involved in managing the data in business intelligence, everyone needs to be on the same page before moving forward.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

AWS Big Data

JUNE 28, 2023

When data is used to improve customer experiences and drive innovation, it can lead to business growth. times more likely than beginners to report at least 20% revenue growth. However, to realize this growth, managing and preparing the data for analysis has to get easier.

Analytics 69

Analytics Data Warehouse Data Lake Data-driven 69

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer job description.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

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

IBM Big Data Hub

AUGUST 28, 2023

For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. This encompasses their finance, sales, supply chain, inventory management and production areas. As business processes grew more complex, the data transparency and visibility suffered.

Publishing 56

Publishing Analytics Business Intelligence Operational Reporting 56

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy. Use case-driven growth How do we take data and create value?

Metadata 52

Metadata Data Lake Data-driven Enterprise 52