Dataversity

MARCH 1, 2021

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Each business often uses one or more data […].

Data Warehouse 130

Data Warehouse Data Governance Data Modelling Data Quality 130

Dataversity

FEBRUARY 1, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3 appeared first on DATAVERSITY.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Data Quality 147

Dataversity

JANUARY 11, 2021

Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […]. The post Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2 appeared first on DATAVERSITY.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Data Quality 147

Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

Data Warehouse 130

Data Warehouse Data Governance Government Data Quality 130

Dataversity

AUGUST 9, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The Business Dislikes Our Data Warehouse appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Help!

Data Warehouse 130

Data Warehouse Data Governance Government Data Quality 130

Smart Data Collective

OCTOBER 13, 2021

In the era of Big Data, the Web, the Cloud and the huge explosion in data volume and diversity, companies cannot afford to store and replicate all the information they need for their business. Data Virtualization allows accessing them from a single point, replicating them only when strictly necessary.

Data Visualization 363

Data Visualization Visualization Big Data Artificial Intelligence 363

Timo Elliott

JANUARY 6, 2022

The point of finding your dark data is to generate insight from it. To this end, SAP offers a wide range of tools that support the following capabilities: Data orchestration. Information landscapes are complex. It also helps you fix data quality problems so that you can separate the signal from the noise.

Chief Data Officer 338

Chief Data Officer Embedded Analytics Data Governance Data Warehouse 338

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. It’s obvious that you’ll want to use big data, but it’s not so obvious how you’re going to work with it. Preserve information: Keep your raw data raw.

Documentation 326

Documentation Data Visualization Data Mining Visualization 326

Dataversity

AUGUST 15, 2022

If data is the new oil, then high-quality data is the new black gold. Just like with oil, if you don’t have good data quality, you will not get very far. So, what can you do to ensure your data is up to par and […]. You might not even make it out of the starting gate.

Data Quality 130

Data Quality Data Warehouse Data Governance Data Architecture 130

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Microsoft Azure.

Data Management 249

Data Management Data Warehouse Master Data Management Digital Transformation 249

Dataversity

DECEMBER 11, 2023

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

Data Governance 278

Data Governance Government Data Warehouse Data Quality 278

Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Analysts Corner

JUNE 18, 2023

In today’s data-driven world, organizations increasingly rely on large volumes of data from various sources to make informed decisions. This article will provide an in-depth and up-to-date comparison of ETL and ELT, their advantages and disadvantages, and guidance for choosing the right data integration strategy in 2023.

Data Warehouse 130

Data Warehouse IBM Maintenance IBM Support Data Quality 130

ElegantJ BI

NOVEMBER 20, 2015

selected ElegantJ BI to help them create a central data warehouse system with validated, timely data from all toll plazas and provide uniform multidimensional BI information architecture. An India-based Highway Toll Plaza Management Co.

Data Warehouse 130

Data Warehouse Data Quality Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 20, 2015

selected ElegantJ BI to help them create a central data warehouse system with validated, timely data from all toll plazas and provide uniform multidimensional BI information architecture. An India-based Highway Toll Plaza Management Co.

Data Warehouse 130

Data Warehouse Data Quality Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 20, 2015

selected ElegantJ BI to help them create a central data warehouse system with validated, timely data from all toll plazas and provide uniform multidimensional BI information architecture. An India-based Highway Toll Plaza Management Co.

Data Warehouse 130

Data Warehouse Data Quality Business Intelligence Business Intelligence 130

Timo Elliott

DECEMBER 14, 2022

Gartner calls it the Composable Enterprise , for example – it’s about having a solid information foundation that enables fast and flexible creation of what they call composable applications that allow you to create new applications and workflows by just bringing together modular components. Business Context.

Innovation 264

Innovation Artificial Intelligence Data Warehouse Government 264

Dataversity

MAY 26, 2023

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

Monitoring 130

Monitoring Data Warehouse Data Quality Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Dataversity

DECEMBER 16, 2020

According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […].

Data Warehouse 173

Data Warehouse Data Quality Data Governance Government 173

Analysts Corner

AUGUST 13, 2023

Understand Data Structure: Data profiling helps in understanding the structure and format of the data, such as the number of columns, data types, and data format. Data Collection: The first step is to gather data from various sources.

Data Quality 130

Data Quality Data Warehouse Data Discovery Innovation 130

Astera

NOVEMBER 1, 2023

It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

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. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations.

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. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Astera

FEBRUARY 28, 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

APRIL 7, 2023

Finally, the stored data is retrieved at optimal speeds to support efficient analysis and decision-making. Essentially, a data warehouse also acts as a centralized database for storing structured, analysis-ready data and giving a holistic view of this data to decision-makers.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

APRIL 13, 2023

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

Astera

NOVEMBER 14, 2023

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. What do you need to build an agile data warehouse?

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

NOVEMBER 13, 2023

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. In this blog, we will discuss everything about a modern data warehouse including why you should invest in one and how you can migrate your traditional infrastructure to a modern data warehouse.

Data Warehouse 52

Data Warehouse Real-time Data Planning Agile 52

Astera

APRIL 23, 2024

This data ranges from customer information to sales records, employee performance, and more. However, if this data is inaccurate, outdated, or incomplete, it becomes more of a liability than an asset, making it more important to measure its health. To do so, they need data quality metrics relevant to their specific needs.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Astera

DECEMBER 9, 2024

Data Governance is a systematic approach to managing and utilizing an organizations data. It ensures data quality, security, and accessibility for informed decision-making. However, managing, analyzing, and governing the data is a complex process.

Data Warehouse 52

Data Warehouse Data Governance Government Data Quality 52

Insight Software

JANUARY 20, 2021

That process, broadly speaking, is called data management. As the volume of available information continues to grow, data management will become an increasingly important factor in effective business management. Pile on external data from suppliers and external service providers, and it begins to appear unmanageable.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95