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.

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.

Data Quality 130

Data Quality Visualization Data Modelling Agile 130

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

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

The Data Administration Newsletter

MAY 1, 2024

In my first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]

Agile 52

Agile Data Modelling Data Management Business Intelligence 52

Tableau

MAY 11, 2022

They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. Throughout the years, we’ve tackled the challenge of data and content reuse.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. Throughout the years, we’ve tackled the challenge of data and content reuse.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

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

Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. It has some key differences in terms of data loading, data modeling, and data agility.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Marutitech

NOVEMBER 13, 2020

Low-code platforms typically use drag-and-drop features, automatic code generation, business process maps, and other visual tools to deliver an agile development environment without requiring the time or complexity of traditional coding methods. Offers great speed and automated data management. Offers declarative data modeling.

Visualization 98

Visualization User Experience Documentation Agile 98

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

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 Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Tableau

SEPTEMBER 12, 2024

Tableau Einstein is a composable AI analytics platform infused with autonomous and assistive agents that turn data into actionable insights wherever you work. You’ll always see your data’s lineage with a clear and transparent view of where data comes from and how it’s processed. Excited to get your hands on Tableau Einstein?

Data Modelling 65

Data Modelling Real-time Data Visualization Government 65

Marutitech

JANUARY 21, 2022

The primary responsibility of a data science manager is to ensure that the team demonstrates the impact of their actions and that the entire team is working towards the same goals defined by the requirements of the stakeholders. 2. Manage people. Interpreting data. Data science is the sexiest job of the 21st century.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

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

Astera

JULY 3, 2024

Data architecture is important because designing a structured framework helps avoid data silos and inefficiencies, enabling smooth data flow across various systems and departments. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

Business Intelligence 99

Business Intelligence Business Intelligence Government Visualization 99

Astera

NOVEMBER 1, 2023

Faster Decision-Making: Quick access to comprehensive and reliable data in a data warehouse streamlines decision-making processes, which enables financial organizations to respond rapidly to market changes and customer needs. This empowers them to generate reports on demand and reduce their reliance on IT or data teams.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Capiro

JULY 19, 2017

Strategic : Business transformations; Portfolio management; Business change; Business architecture and Target operating models; Business agility; Benefits realisation. Tactical: Software requirements specification and management; Business Analysis Roles and Qualities.

Business Analysis 40

Business Analysis Business Analysis Portfolio Management Business Architecture 40

Astera

NOVEMBER 17, 2022

Most enterprises out there rely on a data warehouse as a single source of truth — a consolidated data repository that serves as a reporting layer for companies to identify trends and gain valuable business insights. If you want to explore the agile way to build your data warehouse, reach us at sales@astera.com today.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Management 52

Astera

FEBRUARY 27, 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

Astera

FEBRUARY 27, 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

Astera

FEBRUARY 28, 2024

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. However, the ideal data modeling technique for your data warehouse might differ based on your requirements.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Actian

JULY 29, 2019

Enabling specialization provides not only lead to better performance, but also a path to long-term scalability and business agility. They may reside on-premise, in the cloud or be a Software as a Service (SaaS) solution that third parties manage. Your transactional systems must be optimized for real-time processing.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8

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

Astera

SEPTEMBER 20, 2024

A cloud database operates within the expansive infrastructure of providers like AWS, Microsoft Azure, or Google Cloud, utilizing their global network of data centers equipped with high-performance servers and storage systems. They are based on a table-based schema, which organizes data into rows and columns.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Actian

JUNE 17, 2019

A 4–5 tier refinement process that includes filtering data at the source, aggregating it in an operational data warehouse, normalizing it into an enterprise data model, segmenting it into functional views and then curating it into role-based dashboards and reports will provide data consumers with better quality and actionable information insights.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Tableau

OCTOBER 8, 2024

Salesforce’s Hyperforce cloud infrastructure provides world-class standards for security, compliance, agility, and scalability, backed by Salesforce’s continued commitment to privacy. Lastly, Salesforce CRM customers benefit from one place to centrally manage user permissions, administration, inherited security, and more.

Innovation 52

Innovation Retail Vision Data Visualization 52

Cprime

DECEMBER 21, 2022

In each case, the process of integration in the cloud can involve creating cloud-to-cloud data integration, cloud-to-on-premises integration or a combination of both, addressing different business components, including data and applications. There are three main types of data integration. Data consolidation.

Data Management 52

Data Management Real-time Data Data Governance Vision 52

Insight Software

DECEMBER 23, 2020

To accomplish some of the key technical objectives that contribute to lower costs, increased agility, and customer value, there comes a point when vendors must make a clean break with the past. An evolving toolset, shifting data models, and the learning curves associated with change all create some kind of cost for customer organizations.

Data Warehouse 52

Data Warehouse Supply Chain Finance Data Modelling 52

Tableau

JANUARY 27, 2021

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

Astera

DECEMBER 21, 2022

Moving data warehouses to the cloud relieve businesses from worrying about insufficient storage and lowers their overhead and maintenance costs. A cloud DWH is critical for businesses that need to make quick, data-driven decisions. What are the Benefits of Cloud Data Warehouses Compared to On-premise Solutions?

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

OCTOBER 27, 2023

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications. We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Whizlabs

APRIL 19, 2021

Jason is the author or coauthor of four books – The Agile Architecture Revolution (Wiley, 2013), Service Orient or Be Doomed! He is currently working on his next book – Agile Digital Transformation. Even though he is a Cloud Architect, he is into the roles of DevOps Engineer, Data Modeller and Database Developer.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Sisense

SEPTEMBER 3, 2020

It’s important that the analytics and BI team clearly indicate their needs and that the data team understand what the BI platform will be used for and how they can build the right data model(s) to suit the analytics and BI team’s requirements. Data Team: Certainly, but let’s not forget governance too. Data Team: Agreed.

Visualization 105

Visualization Government Embedded Analytics Agile 105

Astera

JANUARY 12, 2024

Data Vault vs Data Mesh: A Comparison Let’s compare the two approaches to uncover the differences and similarities between them for improved understanding: Differences: Infrastructure Data Vault typically relies on a centralized infrastructure, often involving a data warehouse or similar centralized storage system.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

The key is to stay agile and approach embedded analytics in an iterative way. Strategic Objective Enjoy the ultimate flexibility in data sourcing through APIs or plug-ins. These connect to uncommon or proprietary data sources. Look for those that do not require data replication or advanced data modeling.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52