FineReport

APRIL 21, 2024

But what exactly are SaaS BI tools , and why do they matter in the realm of modern business intelligence? Defining Business Intelligence and SaaS Business Intelligence (BI) encompasses the technologies and strategies used for data analysis and decision-making within organizations.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

DataKitchen

SEPTEMBER 21, 2023

.’ It’s not just about playing detective to discover where things went wrong; it’s about proactively monitoring your entire data journey to ensure everything goes right with your data. What is Data in Place? There are multiple locations where problems can happen in a data and analytic system.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. Businesses often rely on Amazon Simple Storage Service (Amazon S3) for storing large amounts of data from various data sources in a cost-effective and secure manner.

IT 95

IT Visualization Machine Learning Data Integration 95

AWS Big Data

JANUARY 26, 2023

AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. AWS Glue provides an extensible architecture that enables users with different data processing use cases. Refer to AWS Glue job parameters for more details.

Data Lake 109

Data Lake Big Data Software Interactive 109

AWS Big Data

MAY 3, 2023

These two tasks (building data lakes or data warehouses and application modernization) involve data movement, which uses an extract, transform, and load (ETL) process. Enterprise customers can centralize and integrate data coming from multiple data stores by building data lakes and data warehouses.

Data Lake 80

Data Lake Data Warehouse Data-driven Optimization 80

AWS Big Data

JUNE 19, 2023

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. For example, a dashboard user can reference a parameter value in multiple places, using controls, filters, and actions, and also within calculated fields, narratives, and dynamic titles.

Optimization 70

Optimization Slice and Dice Dashboards Recreation/Entertainment 70

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. For more details on Iceberg format versions, refer to Format Versioning.

Data Lake 92

Data Lake Data Warehouse Metadata Data Architecture 92

FineReport

OCTOBER 25, 2021

A data dashboard is a useful tool that could display and analyze users’ complex data by means of data visualization so that the user gains a deep insight into the value of data. It is considered as one of the best business intelligence innovations in the 21st century. Data Dashboard Tool.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

FineReport

MAY 13, 2020

I listed 10 BEST Free and Open Source BI Tools for you as a reference. And, with Tableau Public, published workbooks are “disconnected” from the underlying data sources and require periodic updates when the data changes. Birt is an open-source Eclipse-based business intelligence platform for small businesses.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. They store attributes such as object size, total time, turn-around time, and HTTP referer for log records.

Metadata 99

Metadata Dashboards Metrics Visualization 99

AWS Big Data

NOVEMBER 13, 2023

Gameskraft used Amazon Redshift workload management (WLM) to manage priorities within workloads, with higher priority being assigned to the extract, transform, and load (ETL) queue that runs critical jobs for data producers. These query patterns and concurrency were unpredictable in nature.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

AWS Big Data

MARCH 14, 2024

The unwavering reliability of Kafka aligns with our commitment to data integrity. The integration of Ruby services with Kafka is streamlined through the Karafka library, acting as a higher-level wrapper. For more information, refer to Data protection in Amazon Managed Streaming for Apache Kafka.

Management 107

Management Insurance Optimization Strategy 107

AWS Big Data

JULY 25, 2023

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. For more information on how to connect to a database, refer to tDBConnection.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

datapine

MAY 17, 2021

Then, you can apply the information gleaned from your data across all teams and departments, which will enable you to make collective decisions that will ultimately solve challenges and create sustainable solutions in a number of key areas. Top Attributes You Should Look For In Data Discovery Tools. Does this sound familiar?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 68

Data Quality Data Integration Metadata Cost-Benefit 68

AWS Big Data

AUGUST 3, 2023

Change data capture (CDC) is one of the most common design patterns to capture the changes made in the source database and reflect them to other data stores. a new version of AWS Glue that accelerates data integration workloads in AWS. For more information, refer to Signing up for an Amazon QuickSight subscription.

Data Lake 77

Data Lake Visualization Dashboards Insurance 77

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. Basic formatting and readability of the data is standardized here.

Optimization 88

Optimization B2B Data Quality Sales 88

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage. Governing metadata.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

datapine

DECEMBER 28, 2021

In the digital age, these capabilities are only further enhanced and harnessed through the implementation of advanced technology and business intelligence software. Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

AWS Big Data

FEBRUARY 7, 2023

This post focuses on such schema changes in file-based tables and shows how to automatically replicate the schema evolution of structured data from table formats in databases to the tables stored as files in cost-effective way. For instructions to set up Aurora, refer to Creating an Amazon Aurora DB cluster.

Data Lake 71

Data Lake Testing Big Data Structured Data 71

FineReport

APRIL 26, 2023

As the world becomes increasingly digitized, the amount of data being generated on a daily basis is growing at an unprecedented rate. This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

AWS Big Data

NOVEMBER 29, 2023

The dbt-glue adapter democratized access for dbt users to data lakes, and enabled many users to effortlessly run their transformation workloads on the cloud with the serverless data integration capability of AWS Glue. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

AWS Big Data

JUNE 28, 2023

They can connect to multiple data streams and pull data directly into Amazon Redshift without staging it in Amazon Simple Storage Service (Amazon S3). After running analytics, the insights can be made available broadly across the organization with Amazon QuickSight , a cloud-native, serverless business intelligence service.

Analytics 67

Analytics Data Warehouse Data Lake Data-driven 67

AWS Big Data

JULY 19, 2023

Stage the source data Before we can create and load the dimensions table, we need source data. Therefore, we stage the source data into a staging or temporary table. This is often referred to as the staging layer , which is the raw copy of the source data. There are seven different dimension types.

Modeling 67

Modeling Sales Data Warehouse Snapshot 67

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

FineReport

JULY 6, 2022

With the advancement of digitization, various business intelligence tools have gradually emerged. Some BI tools are devoted to helping companies’ data analysis and business information management, gradually becoming the leaders of the BI market. It is devoted to transforming data into value. From FineReport.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

FineReport

MAY 25, 2023

An HR dashboard serves as a business intelligence tool empowering Human Resource teams to monitor, analyze, and present HR key performance indicators (KPIs). Refer to our guide on calculating employee turnover for more information. Feel free to take full advantage of this guide! What is an HR Dashboard?

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

CIO Business Intelligence

MAY 18, 2022

That may require, for example, an analysis of ERP systems to understand all the dependencies and functions that reference a bill of materials, he says. Enterprise architecture is the glue binding these units together, looking at overall business needs” and ensuring the product or service they develop works well, he says.

Enterprise 107

Enterprise Measurement Data-driven Software 107

Ontotext

JULY 26, 2019

Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity. Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning. Read more at: [link].

Technology 75

Technology Enterprise Data Integration Management 75

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Value Achieved.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

AWS Big Data

SEPTEMBER 21, 2023

Satori accelerates implementing data security controls on datawarehouses like Amazon Redshift, is straightforward to integrate, and doesn’t require any changes to your Amazon Redshift data, schema, or how your users interact with data. Satori interacts with identity providers either via API or by using the SAML protocol.

Data Warehouse 84

Data Warehouse Interactive Data Architecture Data Lake 84

Jet Global

AUGUST 25, 2020

CPM is a subset of the even broader concept of business intelligence (BI). Sometimes referred to as human performance management, this subset of human resources works to improve the productivity and satisfaction of employees. What Is Corporate Performance Management? The solution?

Software 96

Software Metrics Finance Key Performance Indicator 96

Jet Global

JANUARY 9, 2020

Business intelligence (BI) analytic tools have been all of the rage for years now. They can make your business data pretty and easy to understand, no doubt. But what’s the business value of highly visualized data if it’s not accurate or if it doesn’t connect you to your actual business strategy?

Management 52

Management Analytics Visualization Dashboards 52

BI-Survey

FEBRUARY 17, 2020

It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy. This is where data governance comes in. . Data governance refers to the individuals, processes and technology required to manage and protect enterprise data assets.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89