Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. So, we feel validated.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

AWS Big Data

OCTOBER 20, 2023

Regarding the Azure Data Lake Storage Gen2 Connector, we highlight any major differences in this post. AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development.

Data Lake 83

Data Lake Big Data Consulting Data Warehouse 83

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Octopai

JUNE 1, 2020

Data mapping is the cornerstone of many important business intelligence processes: Data Integration – Even if systems are compatible, combining two disparate data repositories still requires meticulous data mapping. Correct data mapping facilitates the creation of usable, searchable data warehouses.

Metadata 52

Metadata Data Warehouse Data Integration Finance 52

FineReport

MAY 9, 2020

Whether the data layer is a simple SqlHelper or a class with Mapping, make sure it is independent of the abstract system layer. FineReport is reporting software adopted the 3-tier architecture. . The data layer of FineReport is responsible for data management, including data collection, ETL, building a data warehouse, etc.

Reporting 52

Reporting Sales Data Warehouse Software 52

Cloudera

FEBRUARY 11, 2019

The Magic Quadrant (MQ) is an established, widely-referenced series of research reports published by the analyst firm Gartner, Inc. The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market.

Management 42

Management Metadata Analytics Machine Learning 42

Alation

DECEMBER 15, 2022

December 2012: Alation forms and goes to work creating the first enterprise data catalog. Later, in its inaugural report on data catalogs, Forrester Research recognizes that “Alation started the MLDC trend.”. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

erwin

JANUARY 11, 2019

Consider the problematic issue of manually mapping source system fields (typically source files or database tables) to target system fields (such as different tables in target data warehouses or data marts). So how can businesses produce value from their data when errors are introduced through manual integration processes?

Data Governance 40

Data Governance Risk Metadata Management 40

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets. 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

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

datapine

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. Data integration. Storage of data.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

IBM Big Data Hub

APRIL 19, 2023

Water technology companies worldwide provide innovative solutions to supply, conserve and protect water throughout the highly complex and technical water cycle of collection, treatment, distribution, reuse and disposal. The water company first needed to standardize its monthly financials and management reporting for the solution to work.

Technology 91

Technology Forecasting Data Warehouse Reporting 91

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

BI-Survey

AUGUST 21, 2020

But what are the right measures to make the data warehouse and BI fit for the future? What role do technology and IT infrastructure play? 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.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

CIO Business Intelligence

OCTOBER 7, 2022

BI analysts, with an average salary of $71,493 according to PayScale , provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. The exams are multiple-choice.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

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

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. This is one of the biggest hurdles with the data vault approach. What is a dimensional data model?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

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 94

Data Warehouse Data Integration Marketing Software 94

FineReport

JULY 16, 2021

Business intelligence system is a set of complete solutions using technologies, processes and applications. In addition, it can extract useful data from different business systems of an enterprise for storing, analyzing, and managing internal data. Data Warehouse. Data Analysis. What is BI System?

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

datapine

NOVEMBER 11, 2021

a) Data Connectors Features. d) Reporting Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. b) Flexible Data Integration. Table of Contents.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Jen Stirrup

MARCH 29, 2023

Despite technological advances, businesses still need help working with data. Data is complex, and companies often need to catch up on what they are trying to achieve. They are also starting to realize – and accept – that data is challenging. Data needs to be respected in the same way as building a product.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

Jet Global

MAY 27, 2022

Synapse services are powerful tools for bringing data together for analytics, machine learning, reporting needs, and more. Here, we discuss technology solutions that help you leverage the benefits of synapse services for mission-critical financial analysis and reporting in Microsoft Dynamics. Streamline Data with Atlas.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

Cloudera

JULY 11, 2022

Before you can capitalize on your data you need to know what you have, how you can use it in a safe and compliant manner, and how to make it available to the business. Cloudera data fabric and analyst acclaim. Forrester ranked Cloudera at the same level in their two previous Wave reports on this topic (2020 and 2018). .

Data Architecture 104

Data Architecture Data-driven Cost-Benefit Data Warehouse 104

Cloudera

MARCH 11, 2021

Data flows are an integral part of every modern enterprise. At Cloudera, we’re helping our customers implement data flows on-premises and in the public cloud using Apache NiFi , a core component of Cloudera DataFlow.

Data Integration 115

Data Integration Data Warehouse Testing Enterprise 115

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. SQL Server Integration Services (SSIS): You know it; your father used it.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

JULY 13, 2023

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. The reporting zone is based on a set of Amazon Athena views, which are consumed for BI purposes.

Optimization 88

Optimization B2B Data Quality Sales 88

erwin

FEBRUARY 7, 2019

For example, manually managing data mappings for the enterprise data warehouse via MS Excel spreadsheets had become cumbersome and unsustainable for one BSFI company. Users now view end-to-end data lineage from the source layer to the reporting layer within seconds. Join one our weekly erwin Mapping Manager demos.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 80

Data-driven Data Lake Data Warehouse Cost-Benefit 80

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. Data processing and analytics drive their entire business. Ad hoc exploration and scheduled reports.

Data Warehouse 91

Data Warehouse Optimization Dashboards Interactive 91

CDW Research Hub

NOVEMBER 17, 2021

Streamlining data into one source frees up storage and relieves IT stress in buying storage that may not be needed. One way to bust those data silos is to pool all corporate data into a cloud-based data warehouse. This enables departments to work collaboratively in a single, accessible modern data platform.

Strategy 83

Strategy Data Governance Data Warehouse Data-driven 83

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Most of the data management moved to back-end servers, e.g., databases.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

MARCH 22, 2022

Consolidation creates a single source of truth on which to base decisions, actions, and reports. Which type(s) of storage consolidation you use depends on the data you generate and collect. . Another option is a data warehouse, which stores processed and refined data. Intel® Technologies Move Analytics Forward.

Analytics 96

Analytics Key Performance Indicator Data Warehouse Data-driven 96

BI-Survey

FEBRUARY 17, 2020

However, effectively using data needs to be learned. Companies using multiple systems for various purposes tend to have complex technology landscapes with highly specialized silo solutions. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 101

Management Advertising Data Lake Sales 101

CIO Business Intelligence

JUNE 9, 2022

A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Deploying a DMP can be a great way for companies to navigate a business world dominated by data.

Management 139

Management Advertising Data Lake Sales 139