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

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. This tailored approach is central to agile BI practices.

Agile 52

Agile Data Warehouse Data Quality Government 52

The Data Administration Newsletter

JULY 5, 2022

Bounded Contexts / Ubiquitous Language My new book, Data Model Storytelling,[i] contains a section describing some of the most significant challenges data modelers and other Data professionals face. Like most of its predecessors, including Agile development and […].

Data Modelling 102

Data Modelling Agile Data Architecture Data Management 102

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

Passionate BA

SEPTEMBER 2, 2023

Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs. By addressing these common pitfalls, the article provides valuable guidance for domain and data modeling. The Rock Crusher: Mastering Agile Backlog Management. 07.09, 7.30

Business Analysis 130

Business Analysis Business Analysis Backlog Management Documentation 130

Timo Elliott

DECEMBER 14, 2022

Everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. The industry analysts all have a similar vision of what that agile future of business looks like. So how do organizations do that? So innovation has to mean business! Business Process.

Innovation 262

Innovation Artificial Intelligence Data Warehouse Government 262

ElegantJ BI

AUGUST 6, 2020

BI Reporting Tool support business users with easy-to-use reporting for clear visualization, and flexible, customizable reports that offer agility for individual and team use. What is business intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

AUGUST 6, 2020

BI Reporting Tool support business users with easy-to-use reporting for clear visualization, and flexible, customizable reports that offer agility for individual and team use. What is business intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

AUGUST 6, 2020

BI Reporting Tool support business users with easy-to-use reporting for clear visualization, and flexible, customizable reports that offer agility for individual and team use. What is business intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

The BAWorld

MARCH 13, 2024

User stories empower Agile development teams to collaborate and communicate effectively. Data Modeling: Building the Information Backbone Data fuels decision-making. Data Modeling: Building the Information Backbone Data fuels decision-making.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Analysts Corner

FEBRUARY 12, 2023

AI : The BABOK Guide defines various tasks and concepts related to business analysis, including requirements elicitation and analysis, process and data modeling, and stakeholder communication and management. This could help save time and effort in process and data modeling. Some suggestions include: 1. ID (primary key).

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

ElegantJ BI

DECEMBER 19, 2021

These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users. But, the Citizen Data Scientist doesn’t have to do it alone.

Data Visualization 130

Data Visualization Data Modelling Monitoring Visualization 130

ElegantJ BI

DECEMBER 19, 2021

These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users. But, the Citizen Data Scientist doesn’t have to do it alone.

Data Visualization 130

Data Visualization Data Modelling Monitoring Visualization 130

ElegantJ BI

DECEMBER 19, 2021

These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users. But, the Citizen Data Scientist doesn’t have to do it alone.

Data Visualization 130

Data Visualization Data Modelling Monitoring Visualization 130

ElegantJ BI

SEPTEMBER 1, 2021

With a targeted self-serve data preparation tool, the midsized business can allow its business users to take on these tasks without the need for SQL skills, ETL or other programming language or data scientist skills. Original Post : Self-Serve Data Prep Tools Can Optimize SME Business Budgets and Resources!

Data Quality 130

Data Quality Visualization Data Modelling Agile 130

ElegantJ BI

SEPTEMBER 1, 2021

With a targeted self-serve data preparation tool, the midsized business can allow its business users to take on these tasks without the need for SQL skills, ETL or other programming language or data scientist skills. Original Post : Self-Serve Data Prep Tools Can Optimize SME Business Budgets and Resources!

Data Quality 130

Data Quality Visualization Data Modelling Agile 130

Dataversity

APRIL 5, 2021

Agility is key to success here. However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark.

Data Management 244

Data Management Agile Data Warehouse Data Modelling 244

Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Dataversity

JANUARY 30, 2023

One of the newer data buzzwords is “data debt.” Actually, it is approximately 10 years old, and it became popular ever since agile people realized that postponing things creates not only technical debt, but certainly also data debt.

Agile 130

Agile Data Modelling 130

The Data Administration Newsletter

FEBRUARY 1, 2022

My new book, Data Model Storytelling[i], describes how data models can be used to tell the story of an organization’s relationships with its Stakeholders (Customers, Suppliers, Dealers, Regulators, etc.), The book describes, […].

Data Modelling 64

Data Modelling Data Governance Data Management Government 64

Cprime

SEPTEMBER 7, 2023

Investigating Existing Data Models: Understanding the current data structure, including how information is stored, categorized, and accessed, is paramount. Mapping Old to New: A crucial part of this stage involves mapping the existing data structure to the new one, ensuring no loss of essential information.

User Experience 52

User Experience Data Modelling Procurement Planning 52

Astera

NOVEMBER 1, 2023

This empowers them to generate reports on demand and reduce their reliance on IT or data teams. Such agility accelerates their ability to respond swiftly to market fluctuations, customer demands, and emerging financial opportunities, which ultimately strengthens the organization’s agility and competitiveness.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

BizAcuity

APRIL 1, 2023

The Data Warehouse can scale up to 2048 nodes, thus offering data storage ability up to 94 petabytes. However, the major challenges with Teradata are: Huge data warehouse cost Not being an agile cloud data warehouse Teradata is on the higher end of the pricing spectrum, and so capacity management is its biggest challenge.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

BizAcuity

SEPTEMBER 22, 2022

The Data Warehouse can scale up to 2048 nodes, thus offering data storage ability up to 94 petabytes. The Data Model is designed to be fault-tolerant and be scalable with redundant network connectivity to ensure reliability for critical use case. However, the major challenges with Teradata are: Huge data warehouse cost.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Bridging the Gap

MARCH 9, 2023

And they’ll use a variety of data modeling techniques to define how information is stored and flows through various systems. Finally, I just want to call out Agile Analysis. A BA on an Agile team might be in a role called an Agile Analyst that would be, typically, a support role to the product owner.

Skillset 98

Skillset Business Analysis Business Analysis Project Management 98

Smart Data Collective

APRIL 2, 2019

From the excitement of goals set by CEO’s and CIO’s about what their Big Data lakes would be able to do, data scientists were starting to find it difficult to use them in real-world applications. Data lakes were designed to be agile and provide analytics data on the fly while processing incoming data at a remarkable speed.

Big Data 209

Big Data Agile Data Analytics Data Analytics 209

Leading Agile

NOVEMBER 22, 2023

It’s kind of agile transformation adjacent. It’s a little bit of maybe an impediment to agile transformation that we’re going to explore. And I’m going to talk a little bit about what leading Agile’s doing about it and what we’re doing in the market. Hey Dennis. How you doing, man?

Agile 62

Agile Business Architecture Government Project Management 62

Leading Agile

NOVEMBER 22, 2023

It’s kind of agile transformation adjacent. It’s a little bit of maybe an impediment to agile transformation that we’re going to explore. And I’m going to talk a little bit about what leading Agile’s doing about it and what we’re doing in the market. Hey Dennis. How you doing, man?

Agile 62

Agile Business Architecture Government Project Management 62

Watermark Learning

JUNE 15, 2021

A variety of models can be used to show scope, including context diagrams, features in/out lists, use case diagrams, high-level data flow diagrams, and business processes. Data models. Process models include process maps, swimlanes, value stream maps, activity diagrams and data flow diagrams.

Process Modelling 52

Process Modelling Project Management Data Modelling Visualization 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

Astera

FEBRUARY 28, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Business Bullet

MAY 28, 2023

Drawing Software: For tasks such as business process modeling, use case modeling, user interface drawings, data models, and flow charts, software like Microsoft Visio and Draw.io provide convenient virtual alternatives. Interactive Work Organization: Tools like virtual whiteboards (e.g.,

Process Modelling 52

Process Modelling Visualization Data Modelling Project Management 52

Tableau

OCTOBER 8, 2021

It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. Speed, agility, and empowerment are crucial to thriving in this new environment. However, most organizations struggle to become data driven. October 8, 2021 - 11:41pm. October 12, 2021.

Government 133

Government Digital Transformation Healthcare Retail 133