AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. This will be your OLTP data store for transactional data. version cluster. version cluster.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

Jet Global

JUNE 2, 2024

If that’s the case, then Atlas for Microsoft Dynamics just might be the Swiss army knife of Microsoft Dynamics data: Atlas solves data integration, operational reporting, and data upload challenges all in one easy-to-use package. This puts you in control of when and how you distribute information to your decision makers.

Operational Reporting 52

Operational Reporting Finance Data Warehouse Dashboards 52

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

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

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

datapine

MAY 9, 2019

Such jargon leads to business intelligence buzzwords that can dilute the meaning of important information. A host of business intelligence concepts are executed through intuitive, interactive tools and dashboards – a centralized space that provides the ability to drill down into your data with ease. But more on that later.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

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

AWS Big Data

NOVEMBER 29, 2023

Customers can also implement their own custom dashboards in QuickSight. As part of the Talent Intelligence Platform Eightfold also exposes a data hub where each customer can access their Amazon Redshift-based data warehouse and perform ad hoc queries as well as schedule queries for reporting and data export.

Metadata 103

Metadata Data Warehouse Analytics Data Analytics 103

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

One organization, Feeding America, the country’s largest domestic hunger relief organization, is turning to information technology to help, having hired three years ago its first IT chief to transform how its network of 200 food banks serve the food insecure. We didn’t have basic things like a data warehouse.

Data Warehouse 130

Data Warehouse Dashboards Reporting Manufacturing 130

Jet Global

DECEMBER 2, 2019

If you’re stumbling across this post through the sea of results researching “business intelligence vs. reporting,” then maybe you’re already familiar with the unlimited interpretations and definitions of these two practices. How to Compare Reporting & BI Solutions. in “business intelligence vs. reporting” is a bit misleading.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Cloudera

NOVEMBER 25, 2020

The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. . Most of their research data is unstructured and has a lot of variety.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

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

FEBRUARY 23, 2020

What is database reporting tools? Database reporting tools are the reporting software that helps you directly generate reports of the data from the database or the data warehouse you use. Database reporting tools rely on connections to a relational database management system via JDBC, JNDI or ODBC.

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98

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. ERP dashboards. Data-driven DSS. Dashboards and other user interfaces that allow users to interact with and view results.

Data mining 133

Data mining Data-driven Statistics OLAP 133

AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! The key to unlock the full potential of this real-time data lies in your ability to effectively make sense of it and transform it into actionable insights in real time.

IoT 91

IoT Analytics Dashboards Data-driven 91

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 92

Data Warehouse Data Lake Analytics Data Science 92

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 88

Data Warehouse Metrics Statistics Optimization 88

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

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 95

Management Data Warehouse Metrics Dashboards 95

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. The data typically encompasses all transactions and operations that the business engages in.

Data Warehouse 105

Data Warehouse Testing Data Quality Reporting 105

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 96

Analytics Data Warehouse Testing Dashboards 96

FineReport

APRIL 21, 2024

From addressing implementation challenges to conducting a comparative analysis of leading options, we delve into how embedded BI tools empower organizations to make informed decisions and drive business intelligence initiatives with unprecedented efficiency and precision. What Are Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

datapine

SEPTEMBER 29, 2022

However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Oftentimes, the data being collected and used is incomplete or damaged, leading to many other issues that can considerably harm the company. Enters data quality management.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

MAY 21, 2019

Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. The power of data analytics and business intelligence is universal. They need to make quick and informed decisions. And the success stories are seemingly endless.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

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. We’ve got a lot to share in this area.

Dashboards 137

Dashboards Data Warehouse Reporting Technology 137

Cloudera

SEPTEMBER 17, 2018

However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. Consider the following: More data types to be queried, but increasingly the data resides in separate silos.

Data Warehouse 55

Data Warehouse Optimization Visualization Unstructured Data 55

Jen Stirrup

MARCH 29, 2023

It is easier to list the symptoms of a problematic data foundation as they are often pretty clear to business users. To summarise, a problematic data foundation misdirects people to make suboptimal business decisions due to incorrect data and information. What does a sound, intelligent data foundation give you?

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

Sisense

OCTOBER 2, 2019

Reporting and business intelligence are often used to refer to the same thing — but wrongly so! The difference between reporting and business intelligence goes beyond charts for the first or data correlations for the second. Reporting and BI serve two different business needs. Reports often use the same format over time.

Business Intelligence 75

Business Intelligence Reporting Data Warehouse Data-driven 75

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. Data engineers can now replicate data from multiple Aurora database clusters into the same or a new Amazon Redshift instance to derive holistic insights across many applications or partitions.

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

FineReport

JULY 16, 2021

With the advancement of information construction, enterprises have accumulated massive data base. Because the greater the amount of data, the greater the value of the data that can be obtained. Companies employ BI systems to deliver right information to right person at the right time with a right format.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

datapine

SEPTEMBER 27, 2022

But before we do, let’s explore some interesting SQL facts: SQL assists in the structuring and management of information in a database, in addition to conducting searches for information using structures. With a MySQL dashboard builder , for example, you can connect all the data with a few clicks.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

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 112

Data Warehouse Cost-Benefit Sales Data-driven 112

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. Organizations using C360 achieved 43.9%

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Cloudera

FEBRUARY 8, 2021

Below is the entire set of steps in the data lifecycle, and each step in the lifecycle will be supported by a dedicated blog post(see Fig. 1): Data Collection – data ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a vehicle showroom). 2 ECC data enrichment pipeline.

Manufacturing 120

Manufacturing Data Warehouse Sales Predictive Analytics 120

FineReport

JULY 28, 2021

Data is knowledge, new oil, powerful weapon. Data is highly valued nowadays. Good data can give you keen insights, convincing evidence to make informed decisions. By observing and analyzing data, we can develop more accurate theories and formulate more effective solutions. For this reason, data science and/vs.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98