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

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 Software 98

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

FineReport

JULY 1, 2021

If you have never heard of BI, I suggest you read these two articles, one on BI and analytics and one on BI reporting , to build your background knowledge. BI technology is a series of technologies that can handle a large amount of structured and sometimes unstructured data. Data warehouse. Data querying & discovery.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

Jet Global

JANUARY 6, 2020

Wes Gillette, VP of Product Management, insightsoftware discusses the problems most Finance professionals face with ERP financial reporting. While there’s no question that BI provides powerful and intuitive graphical analysis that serves most departments well, there is an exception: financial reporting. The Search for Real-time Data.

Consulting 64

Consulting Reporting Finance Data Warehouse 64

Smarten

JANUARY 18, 2023

It is a highly process driven company and depends on data and its analysis for decision making and reporting at each level in the organization. The Smarten system has helped the client cost-effectively shift from spreadsheet based reporting to business intelligence based centralized analysis, assessment, and reporting.

Data Warehouse 52

Data Warehouse Analytics Data mining Business Intelligence 52

Jet Global

NOVEMBER 5, 2020

Reporting will change in D365 F&SCM, and those changes could significantly increase complexity and total cost of ownership. To enhance security, Microsoft has decided to restrict that kind of direct database access in D365 F&SCM and replace it with an abstraction layer comprised of something called “data entities”.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

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

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 110

Data Warehouse Cost-Benefit Sales Data-driven 110

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

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 93

Management Data Warehouse Metrics Dashboards 93

Smarten

JANUARY 16, 2023

The Smarten team helped build a data warehouse and consolidate it with NSE source data that was most of the times available in a different format. Users at various levels could easily create reports and analytics on their own, without any specialized programmer or developer support. Download the Case study.

Analytics 52

Analytics Data Warehouse Marketing Reporting 52

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

APRIL 4, 2024

Although this solution is designed to seamlessly interact with both Hive Metastore and the AWS Glue Data Catalog, we use the Data Catalog as our example in this post. It generates and publishes reports in Amazon S3, which are then accessible via Athena. It also downloads sample data files to use in the next step.

Data Quality 61

Data Quality Data Lake Data Warehouse Data-driven 61

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Athena provides a simplified, flexible way to analyze petabytes of data where it lives.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100

FineReport

NOVEMBER 17, 2021

Free Download. FineReport: When organizing data management, we may face data source replacement. In SQL, the data source table name needs to be changed. Report and Dashboard. You can make changes to data and graphs or even data points directly on the chart. Meanwhile, Domo grows external data value.

KPI 52

KPI Dashboards Metadata Data Warehouse 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 62

Modeling Data Warehouse Machine Learning Testing 62

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 70

Analytics Data Warehouse Data Lake Metadata 70

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). You can download FineReport for free and have a try! Free Download of FineReport 1.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

CIO Business Intelligence

APRIL 14, 2022

DaaS vendors can also improve the quality of data that an organization might otherwise gather itself by correcting errors or filling in gaps and even provide big blocks of data should you need more. In this way, DaaS providers can improve your homegrown data warehouse by cross-fertilizing it with other, curated sources.

Enterprise 136

Enterprise Marketing Measurement Reporting 136

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. Free Download. What is business intelligence?.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

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. In this blog post, we are going to cover Data Entities. Many data entities are aimed at specific areas for reporting. Reference (Ex.

Finance 73

Finance OLAP Reporting Data Warehouse 73

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

MAY 6, 2020

That’s a big enough process on its own, but it’s accompanied by the need to update systems , policies, and reporting practices to reflect the details of ASC 606, which are extensive. Tools from insightsoftware round that strategy out by adding powerful financial reporting capabilities to the equation.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

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

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

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 76

Data Lake Data Warehouse Sales Data-driven 76

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

Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

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

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

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. Defined by Microsoft, “Custom visuals are packages that include code for rendering the data served to them.”

Visualization 56

Visualization Dashboards KPI Reporting 56

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

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

Octopai

JUNE 15, 2020

To make changes to a system, report, or process, BI developers must first perform impact analysis in order to gauge the potential impact of making such a change on the rest of the environment. With the insurance company’s current data architecture, the process would have no chance of being completed in time for the change.

Insurance 52

Insurance Metadata Business Intelligence Data Warehouse 52

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 can get faster insights without spending valuable time managing your data warehouse. Analyze the assessment report and address the action items.

Analytics 94

Analytics Data Warehouse Testing Dashboards 94

Jet Global

NOVEMBER 2, 2020

Interestingly, you can address many of them very effectively with a data warehouse. There are some very important reasons why you might want to bring some of your historical data into your new system, though. For example, it would be useful to retain the capability of reporting historical sales trends.

Data Warehouse 83

Data Warehouse Cost-Benefit Reporting Recreation/Entertainment 83