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.”

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

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

Dataversity

JUNE 4, 2021

To make your offering even more attractive, you’ve decided to embed analytics and business intelligence (ABI) into your product. Your enterprise software is outstanding in its functionality. You have a solid value proposition with your target market. So far, so good. But which embedded ABI solution will you select?

Embedded Analytics 231

Embedded Analytics Business Intelligence Business Intelligence Data Architecture 231

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

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

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

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

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

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

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 96

Talent Acquisition Data Warehouse Data Architecture Visualization 96

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 94

Talent Acquisition Data Warehouse Data Architecture Visualization 94

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

ElegantJ BI

MARCH 16, 2022

‘Users can access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment.’ Flexible Deployment via public or private cloud, or enterprise on-premises hardware.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

ElegantJ BI

MARCH 16, 2022

‘Users can access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment.’ Flexible Deployment via public or private cloud, or enterprise on-premises hardware.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

ElegantJ BI

MARCH 16, 2022

‘Users can access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment.’. Flexible Deployment via public or private cloud, or enterprise on-premises hardware.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

Tableau

AUGUST 6, 2021

In fact, after Tableau moved to the cloud and chose Snowflake to host its data, technology team members had flexibility to concentrate on more strategic business intelligence efforts because many requests could be addressed with self-service analytics.

Cloud Computing 98

Cloud Computing Government Supply Chain Data Governance 98

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

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

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 53

Talent Acquisition Data Warehouse Data Architecture Visualization 53

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

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

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 63

Retail Supply Chain Agile Data Architecture 63

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 92

Innovation Data Warehouse Data Architecture Visualization 92

Astera

MARCH 20, 2024

This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge. For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

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

AUGUST 6, 2021

In fact, after Tableau moved to the cloud and chose Snowflake to host its data, technology team members had flexibility to concentrate on more strategic business intelligence efforts because many requests could be addressed with self-service analytics.

Cloud Computing 52

Cloud Computing Government Supply Chain Data Governance 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

APRIL 19, 2021

You don’t need to be fluent in data to be able to make sense of it, to access it, to use it, and transform it from raw information into insight. By democratizing access to data stored in EDWs like Snowflake, Domo optimizes the value of the investments your company has made in its data architecture.

Data Warehouse 52

Data Warehouse Data Architecture Business Intelligence Business Intelligence 52

Insight Software

JULY 28, 2023

Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current data architecture. Use independent industry resources, such as the 2023 Wisdom of Crowds® Business Intelligence Market Study report. Weigh the importance of each.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 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

FEBRUARY 14, 2024

Only 5% of businesses feel they have data management under control, while 77% of industry leaders consider growing volume of data one of the biggest challenges. It is composed of user-friendly structures like star schemas that represent or data marts.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 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

OCTOBER 27, 2023

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

OCTOBER 19, 2023

While all data transformation solutions can generate flat files in CSV or similar formats, the most efficient data prep implementations will also easily integrate with your other productivity business intelligence (BI) tools. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

DECEMBER 21, 2022

There are many types of data repositories. There are also many other processes and tools that go into a data management system, such as data governance, data integration, business intelligence, and more. Using the example of the eCommerce store, a variety of data on each customer may be processed.

Data Management 52

Data Management Data Governance Government Data Warehouse 52