Dataversity

DECEMBER 7, 2020

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

Data Warehouse 225

Data Warehouse Data Discovery Business Intelligence Business Intelligence 225

Dataversity

AUGUST 16, 2023

Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

Big Data 200

Big Data Business Intelligence Business Intelligence Data Analytics 200

Astera

JULY 3, 2024

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Insight Software

JANUARY 17, 2022

Business intelligence requirements in this category may include dashboards and reports as well as the interactive and analytical functions users can perform. Data Environment. Also ask yourself if your users need to transform or enrich data for analysis. End-User Experience.

Business Intelligence 52

Business Intelligence Business Intelligence User Experience Embedded Analytics 52

Dataversity

JANUARY 11, 2021

In Part 1 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […].

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Data Quality 147

Sisense

JULY 6, 2020

These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling. Benefits of enterprise data management.

Data Management 98

Data Management Data Architecture Data Governance Government 98

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Passionate BA

MAY 29, 2024

Business Intelligence Perspective The following perspective – Business Intelligence, or BI – is centered on businesses using business analysis for data transformation, integration, and enhancement to support decision-making processes.

Business Analysis 130

Business Analysis Business Analysis Business Architecture Agile 130

ElegantJ BI

JUNE 1, 2022

The integrated solution provides access to data sources and data warehouses using a robust data architecture with single-tenant or multi-tenant modes and flexible deployment via public or private cloud, or via on-premises hardware, so the business can deploy anywhere with no environmental dependencies.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

The integrated solution provides access to data sources and data warehouses using a robust data architecture with single-tenant or multi-tenant modes and flexible deployment via public or private cloud, or via on-premises hardware, so the business can deploy anywhere with no environmental dependencies.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

The integrated solution provides access to data sources and data warehouses using a robust data architecture with single-tenant or multi-tenant modes and flexible deployment via public or private cloud, or via on-premises hardware, so the business can deploy anywhere with no environmental dependencies.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

Dataversity

NOVEMBER 10, 2022

The analyst community is championing the data fabric tenet. The data mesh and data lake house architectures are gaining traction. Data lakes are widely deployed. Even architectural-agnostic business intelligence tooling seeks to harmonize data across sources. Each […].

Business Intelligence 130

Business Intelligence Business Intelligence Data Management Data Architecture 130

Domo

JULY 28, 2022

With more than 2,000 issued patents for advances in technology, the cutting-edge, multi-national company builds core innovations in connectivity, modeling, and data analytics for customers in agriculture, construction, and transportation. A: We first introduced Domo for our platform called Reveal Business Intelligence.

Embedded Analytics 98

Embedded Analytics Data Warehouse Digital Transformation Data Architecture 98

Domo

APRIL 14, 2021

2 – The Art of Designing an Enterprise-level Data Architecture and Pipeline ( WATCH ) Facing an enterprise-scale data analysis and management implementation can be a daunting proposition. It’s what we build our Legos on.”

Agile 98

Agile Data Warehouse Data Architecture Logistics 98

Astera

DECEMBER 16, 2024

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. The support is primarily chat-based, which is not comprehensive enough for certain organizations.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Let’s get into the nuts and bolts.

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Let’s get into the nuts and bolts.

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Tableau

MAY 19, 2021

Fortunately, a modern data stack (MDS) using Fivetran, Snowflake, and Tableau makes it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. What is a modern data stack?

Retail 91

Retail Supply Chain Agile Data Architecture 91

Tableau

JUNE 8, 2021

This raw data often goes through a number of transformation steps: clean and prepare, apply business rules, feature engineering, classification, scoring, and so on. . Aggregated results are then pulled into a data warehouse , or semantic layer, where business users can interact with the data using business intelligence tools. .

Innovation 102

Innovation Data Warehouse Data Architecture Visualization 102

Domo

AUGUST 28, 2020

How cloud data integration takes full advantage of your current data architecture. The difference between integration processes and business intelligence tools. Why 40% of your enterprise data is likely dark data, and how a cloud data integration solution can lower your risk of data loss and leaks.

Data Architecture 52

Data Architecture Business Intelligence Business Intelligence 52

Domo

AUGUST 28, 2020

Download the whitepaper to learn: How to access, analyze, and act upon data to meet the needs of technical IT managers and business users alike Why integration for analytics, rather than system application integration, requires different tools but can deliver a competitive advantage How cloud data integration maximizes value in data architecture investments (..)

Data Architecture 52

Data Architecture Government Business Intelligence Business Intelligence 52

Domo

JULY 23, 2024

It aligns data services and streams within your organization, simplifying data management on a massive scale. A data fabric enables CIOs and data practitioners to unify their business intelligence (BI) architecture without moving data out of the cloud.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

Sisense

AUGUST 28, 2019

This functionality is especially pertinent in the case of mergers and acquisitions — you want to ensure your BI platform can support any future architecture that your company inherits along the way. The business intelligence and cloud computing markets experience consolidation like any other.

Cloud Computing 73

Cloud Computing Data Architecture Data Modelling Documentation 73

Domo

SEPTEMBER 4, 2024

. ### About Domo Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps.

Data Architecture 52

Data Architecture Innovation Data Management Business Intelligence 52

Sisense

SEPTEMBER 3, 2020

Database specialists may be charged with looking after other data repositories used by the organization, such as data stores, marts, warehouses, and lakes.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Astera

DECEMBER 22, 2022

Data Engineers : Build and manage a data warehouse strategy and execute them. Data Architects : Define a data architecture framework, including metadata, reference data, and master data. . Best Practices to Build Your Data Warehouse . Migrate to Cloud-based data architecture.

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

Dataversity

DECEMBER 15, 2021

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization.

Data Warehouse 246

Data Warehouse Visualization Data Architecture Business Intelligence 246

Dataversity

SEPTEMBER 6, 2021

The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. Click to learn more about author Mike Potter.

Data Warehouse 246

Data Warehouse Data Architecture Business Intelligence Business Intelligence 246

Dataversity

DECEMBER 9, 2020

In an industry as competitive as eCommerce retail, the ability to turn data into actionable insights presents the opportunity to make business decisions that drive more revenue and control costs. Click to learn more about author Maurice Lacroix.

Logistics 239

Logistics Retail Data Modelling Data Architecture 239

Dataversity

MARCH 29, 2021

It has taken a global pandemic for organizations to finally realize that the old way of doing businesses – and the legacy technologies and processes that came with it – are no longer going to cut it. The post The Move to Public Cloud and an Intelligent Data Strategy appeared first on DATAVERSITY. As […].

Data Architecture 237

Data Architecture Business Intelligence Business Intelligence 237

Tableau

MAY 19, 2021

Fortunately, a modern data stack (MDS) using Fivetran, Snowflake, and Tableau makes it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. What is a modern data stack?

Retail 52

Retail Supply Chain Agile Data Architecture 52

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. But good data—and actionable insights—are hard to get. Let’s get into the nuts and bolts.

Talent Acquisition 55

Talent Acquisition Data Warehouse Data Architecture Visualization 55

Astera

DECEMBER 21, 2022

In comparison to cloud data warehouses, on-premise data warehouses pose certain challenges that affect the efficiency of the organizations’ analytics and business intelligence operations. 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

Tableau

JUNE 8, 2021

This raw data often goes through a number of transformation steps: clean and prepare, apply business rules, feature engineering, classification, scoring, and so on. . Aggregated results are then pulled into a data warehouse , or semantic layer, where business users can interact with the data using business intelligence tools. .

Innovation 52

Innovation Data Warehouse Data Architecture Visualization 52

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.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

JUNE 4, 2024

Relationships Between Data Elements Data dictionaries map out the connections between different fields within the database. Understanding these relationships is essential for data analysis and retrieval, as it portrays the internal data architecture and how various pieces of information interconnect within the database.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

The Data Administration Newsletter

JULY 21, 2021

In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do.

Big Data 145

Big Data Data Modelling Data Architecture Data Management 145