DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. DataKitchen acts as a process hub that unifies tools and pipelines across teams, tools and data centers.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

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 123

Data Warehouse Dashboards Reporting Manufacturing 123

datapine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. What Is Data Warehousing And Business Intelligence? BI Architecture Framework In Modern Business. Data integration.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

AWS Big Data

JUNE 28, 2023

Data is at the center of every application, process, and business decision. When data is used to improve customer experiences and drive innovation, it can lead to business growth. According to Forrester , advanced insights-driven businesses are 8.5 ETL can be challenging, time-consuming, and costly.

Analytics 71

Analytics Data Warehouse Data Lake Data-driven 71

CIO Business Intelligence

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

IBM Big Data Hub

JANUARY 5, 2023

But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality. Next generation of big data platforms and long running batch jobs operated by a central team of data engineers have often led to data lake swamps.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

APRIL 25, 2022

You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. Features focus on media and entertainment firms.

Recreation/Entertainment 108

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 108

datapine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. a) Data Connectors Features. billion , paired with the fact that 33% of large-sized businesses will practice decision intelligence by 2023. Your Chance: Want to take your data analysis to the next level?

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

MARCH 29, 2024

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. With these insights, teams have the visibility to make data integration pipelines more efficient.

Metrics 109

Metrics Visualization Dashboards Interactive 109

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. For example, imaging data can be used to show patients how an aligner will change their appearance over time. “It

Unstructured Data 101

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 101

FineReport

FEBRUARY 28, 2020

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. What Is the Difference Between Enterprise Reporting and Business Intelligence?

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. BI INTELLIGENCE (from google). Data Warehouse.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Jet Global

OCTOBER 7, 2020

It uses its own data mart, which cannot be customized in any way. Power BI is an analytical tool for data visualization and discovery. When working with D365 F&SCM data, it typically requires specialized programming skills to develop reports or to make changes to existing reports. What Are Data Entities? Tax Codes).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Smarten

DECEMBER 7, 2017

Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation?

IT 40

IT Testing ROI Data Warehouse 40

erwin

APRIL 27, 2022

In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Change Data Capture identifies and processes only the data that has changed and stores the changed data in a form so as to be of further use. We need your help!

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

FineReport

MAY 31, 2023

Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively. Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Octopai

JUNE 1, 2020

With the rapid rise of new data regulations across the globe, capable data mapping isn’t just a tool for companies to get a leg up on the competition – it is required for legal compliance. Let’s look at how these new requirements have changed the data landscape and how automated data mapping can give your company an advantage.

Metadata 52

Metadata Data Warehouse Data Integration Finance 52

Birst BI

OCTOBER 30, 2018

Because the data describing each transaction was in a database, this made it easy to retrieve and summarize multiple transactions together. This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Add the predictive logic to the data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

CIO Business Intelligence

JUNE 7, 2022

Data scientists may build the ML models, but its ML engineers who implement them. Data engineers build and maintain the systems that make up an organization’s data infrastructure. Data steward. A data steward oversees the management of a company’s data and makes certain it is accessible and of high quality.

Machine Learning 144

Machine Learning Data Science Consulting Metrics 144

CIO Business Intelligence

JULY 13, 2022

CDF-PC is a cloud native universal data distribution service powered by Apache NiFi on Kubernetes, ??allowing allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination. This blog aims to answer two questions: What is a universal data distribution service?

Enterprise 59

Enterprise Data Lake Data Collection Data-driven 59

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

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 95

Data Warehouse Data Lake Analytics Data Science 95

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

CIO Business Intelligence

FEBRUARY 20, 2024

Generative AI tools are only as accurate and effective as the data they can access, and while government and public service agencies will have invested in their data infrastructure, it still may not be optimised for the demands of generative AI. This seems a formidable task. Microsoft Fabric could be one way to deal with it.

Cost-Benefit 96

Cost-Benefit Data Lake Data Warehouse Data Integration 96

DataKitchen

SEPTEMBER 21, 2023

This is where the true power of complete data observability comes into play, and it’s time to get acquainted with its two critical parts: ‘Data in Place’ and ‘Data in Use.’ What is Data in Place? There are multiple locations where problems can happen in a data and analytic system.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

BI-Survey

AUGUST 21, 2020

But what are the right measures to make the data warehouse and BI fit for the future? Can the basic nature of the data be proactively improved? The following insights came from a global BARC survey into the current status of data warehouse modernization. They are opting for cloud data services more frequently.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

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 104

Data Warehouse Data Lake Analytics Machine Learning 104

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Jet Global

MAY 27, 2022

Synapse services are powerful tools for bringing data together for analytics, machine learning, reporting needs, and more. How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together. Book A Demo.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

CIO Business Intelligence

MAY 24, 2022

Australian research and advisory firm Adapt identifies an organisation’s ability to execute a data-driven strategy as one of 12 core competencies , identified from 30,000 conversations spanning three years with leading IT and businesses. analyse the data, using business intelligence, visualisation or data science tools.

Data-driven 78

Data-driven Data Lake Data Warehouse Cost-Benefit 78

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. Amazon Redshift is available in both serverless and provisioned configurations.

Data Lake 97

Data Lake Data Warehouse Metadata Data Architecture 97

AWS Big Data

NOVEMBER 29, 2023

Customizing foundation models The need for data is quite obvious if you are building your own foundation models (FMs). These models need vast amounts of data. But data is necessary even when you are building on top of FMs. Customers have created hundreds of thousands of data lakes on Amazon S3.

Data Warehouse 111

Data Warehouse Data Lake Data Integration Dashboards 111

Smart Data Collective

SEPTEMBER 8, 2021

The ETL process is defined as the movement of data from its source to destination storage (typically a Data Warehouse) for future use in reports and analyzes. The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements.

Data Warehouse 93

Data Warehouse Data Integration Marketing Software 93

AWS Big Data

MAY 3, 2023

In today’s data-driven business environment, organizations face the challenge of efficiently preparing and transforming large amounts of data for analytics and data science purposes. Businesses need to build data warehouses and data lakes based on operational data.

Data Lake 83

Data Lake Data Warehouse Data-driven Optimization 83

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Enterprise 75

Enterprise Management Strategy Data Lake 75