Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.” Emphasize performance, cost reduction, and control.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Innovation 101

Innovation Data Warehouse Data Architecture Visualization 101

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This also applies to businesses that may not have a data warehouse and operate with the help of a backend database system.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This also applies to businesses that may not have a data warehouse and operate with the help of a backend database system.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Sisense

JULY 7, 2020

A modern data experience means organizations should be able to: Connect to any dataset, live or cached, wherever it resides Analyze data in any environment, whether it’s code-first, low code, or no code Deploy anywhere: In the cloud, on-prem, or hybrid Embed analytics anywhere. Additional capabilities.

Data Warehouse 92

Data Warehouse Agile Data Modelling Innovation 92

ElegantJ BI

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

Supply Chain 130

Supply Chain Data Discovery Data Warehouse Government 130

ElegantJ BI

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

Supply Chain 130

Supply Chain Data Discovery Data Warehouse Government 130

ElegantJ BI

DECEMBER 7, 2017

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.

Supply Chain 130

Supply Chain Data Discovery Data Warehouse Business Intelligence 130

Tableau

APRIL 3, 2021

Always pushing the limits of what the tool is capable of, showing the world the power of data, and challenging thinking about the world of analytics and data visualization. They shifted from a practice of simply reporting to looking at visualization as more of a data product enhanced by product development practices. .

Design Thinking 101

Design Thinking Data Visualization Data Warehouse Visualization 101

ElegantJ BI

OCTOBER 1, 2020

Instead, the average business user can gather and prepare data on their own with clear insight into the sources and methods so that the outcome meets requirements. Self-Serve Data Preparation solutions provide tools that are flexible so the user is not restricted to dashboards or interfaces that are designed by someone else.

Data Discovery 130

Data Discovery Data Warehouse Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 1, 2020

Instead, the average business user can gather and prepare data on their own with clear insight into the sources and methods so that the outcome meets requirements. Self-Serve Data Preparation solutions provide tools that are flexible so the user is not restricted to dashboards or interfaces that are designed by someone else.

Data Discovery 130

Data Discovery Data Warehouse Government Business Intelligence 130

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Information marts are data structures optimized for reporting and analysis.

Agile 52

Agile Data Warehouse Data Quality Government 52

Sisense

JULY 22, 2020

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Data Pine

MAY 29, 2019

That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights. One of the BI architecture components is data warehousing. Data integration.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Insight Software

JANUARY 5, 2021

Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards. It offers the benefits of a data warehouse–high-performance, sophisticated analysis capabilities and the capacity to manage and analyze very large data sets.

Supply Chain 98

Supply Chain Data Warehouse Finance Business Intelligence 98

Domo

JUNE 15, 2022

That means your data apps can run on Snowflake right alongside data stored in Domo—and even alongside your Databricks lakehouse—in one seamless experience. No moving or copying data—ever. You get all of this agility with none of the expected trade-offs in performance.

Cloud Computing 86

Cloud Computing Data Governance Data Warehouse Government 86

Business Analysis Knowledge Share

OCTOBER 24, 2023

Data Warehousing is the process of collecting, storing, and managing data from various sources into a central repository. This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Data Sources Data Warehouses collect data from diverse sources within an organization.

IBM Maintenance 75

IBM Maintenance Data Warehouse IBM cost Data Quality 75

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Microsoft also releases Power BI, a data visualization and business intelligence tool. There is Alibaba Cloud, Turbonomic, Terremark etc.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Insight Software

JULY 29, 2020

Using OBIEE as Discoverer’s replacement is intended to help unlock the power of your information with robust reporting, ad hoc query and analysis, OLAP, dashboard, and scorecard functionality that offers the end user an experience that comes with visualization, collaboration, alert capabilities, and more. But does OBIEE stack up?

Data Warehouse 98

Data Warehouse Supply Chain Finance Visualization 98

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Innovation 52

Innovation Data Warehouse Data Architecture Visualization 52

Astera

DECEMBER 14, 2022

Kimball-style dimensional modeling has been the go-to architecture for most data warehouse developers over the past couple of decades. The questions that arise, however, are the following: How easy is it to load and maintain data in fact and dimension tables? And Is it worth the effort? Do you realize what that would require?

Data Warehouse 52

Data Warehouse Data Modelling Business Intelligence Business Intelligence 52

Domo

OCTOBER 22, 2021

All too often, enterprise data is siloed across various business systems, SaaS systems, and enterprise data warehouses, leading to shadow IT and “BI breadlines”—a long queue of BI requests that can keep getting longer, compounding unresolved requests for data engineering services.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Tableau

APRIL 3, 2021

Always pushing the limits of what the tool is capable of, showing the world the power of data, and challenging thinking about the world of analytics and data visualization. They shifted from a practice of simply reporting to looking at visualization as more of a data product enhanced by product development practices. .

Design Thinking 52

Design Thinking Data Visualization Data Warehouse Visualization 52

Sisense

OCTOBER 14, 2020

A strong data team, coupled with an advanced analytics platform, enables you to deepen your data exploration as you scale your business and anticipate the increasing complexity that comes with growth. Data teams deliver fast, accurate business reporting, BI, and data visualizations via SQL-based tools.

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Astera

JANUARY 19, 2024

Shortcomings in Complete Data Management : While MuleSoft excels in integration and connectivity, it falls short of being an end-to-end data management platform. Notably, MuleSoft lacks built-in capabilities for AI-powered data extraction and the direct construction of data warehouses.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

The BAWorld

DECEMBER 23, 2023

These requirements can range from simple to highly complex, involving the creation of data warehouses and analytics reports. Proficiency in visualization tools such as PowerBI and Tableau, along with knowledge of Python libraries for visual charts, is essential.

Banking 52

Banking UML Business Analysis Business Analysis 52

Actian

SEPTEMBER 17, 2019

The result is that these systems are not easily extended either for localized analytics and visualization, sharing data across local systems, or easily and securely exchanging data with modern backend systems for further analytics and visualization. Technology that empowers historical data to shape the future.

Artificial Intelligence 40

Artificial Intelligence Data Warehouse Visualization Vision 40

Actian

JUNE 7, 2019

At Actian, we understand how important it is to provide you with the tools to create integrations quickly, manage them as your environment changes and evolve them to keep your organization agile. A new Extract editor enables visual parsing and extraction of data elements from semi-structured files. Integration Manager.

Data Warehouse 40

Data Warehouse Visualization Agile Monitoring 40

Astera

SEPTEMBER 28, 2023

Reverse ETL is a relatively new concept in the field of data engineering and analytics. It’s a data integration process that involves moving data from a data warehouse, data lake, or other analytical storage systems back into operational systems, applications, or databases that are used for day-to-day business operations.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Insight Software

JULY 30, 2021

A smart design combined with straightforward visualizations allow this template to communicate volumes. EPM tools automatically pull information from consolidated group financial data or to budgeting and planning data. Step 7: Translate Information Visually. KPIs Overview. Step 2: Choose Reporting Templates.

Finance 52

Finance Supply Chain Visualization Data Warehouse 52

Actian

NOVEMBER 25, 2019

With a modern edge data management system, all this functionality is hyper-connected, and interoperability with streaming data standards like Kafka or Spark are a given. The Machine Learning (ML) lifecycle, reporting, and visualization tools need plug-and-play retrieval based on industry standards over and above those for file systems.

Artificial Intelligence 40

Artificial Intelligence Data Warehouse Data Management Visualization 40

Astera

JUNE 13, 2023

Data Mesh: The data mesh concept decentralizes them and establishes domain-oriented, self-serve data infrastructure. It promotes data ownership, autonomy, and easy access to data, leading to improved scalability and agility in data processing.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52