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 93

Data Warehouse Government Artificial Intelligence Data Discovery 93

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

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

FEBRUARY 14, 2024

Identify the source systems, data entities, and stakeholders involved. Your Salesforce data migration plan should also be clear about the timelines, resources, and responsibilities. Specify how data will be transformed and mapped during the migration process.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Quality 52

Astera

JANUARY 18, 2024

As far as the destinations are concerned, Fivetran supports data warehouses and databases, but it doesn’t support most data lakes. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Tableau

APRIL 20, 2022

Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . All things data: Dig into Data Fabric , a design framework that helps people go beyond our core analytics to get more from their data and Data Management.

Chief Data Officer 111

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 111

Tableau

APRIL 20, 2022

Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . All things data: Dig into Data Fabric , a design framework that helps people go beyond our core analytics to get more from their data and Data Management.

Chief Data Officer 93

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 93

Astera

APRIL 27, 2023

The modern data stack has revolutionized the way organizations approach data management, enabling them to harness the power of data for informed decision-making and strategic planning. These tools should allow you to automate your data pipeline and should make data management easy.

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 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

Sisense

SEPTEMBER 3, 2020

They make it’s correctly stored, protected, cleaned, transformed, and aggregated to meet business requirements (for instance, to go into a data model for self-service analyses, to be embedded into products, etc.). Combining datasets is key to unlocking more advanced insights.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Marutitech

JANUARY 21, 2022

The initial step for any data science management process is to define the team’s appropriate project goal and metrics, i.e., a data science strategic plan. Manage people. Being a good data science manager involves managing the project and managing people on the team.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Insight Software

DECEMBER 23, 2020

An evolving toolset, shifting data models, and the learning curves associated with change all create some kind of cost for customer organizations. Microsoft plans to support its legacy products for at least another eight years, but the company’s future investments in improved functionality will focus on the two new D365 products.

Data Warehouse 52

Data Warehouse Supply Chain Finance Data Modelling 52

Sisense

JULY 6, 2020

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise Data Management (EDM). What is enterprise data management?

Data Management 98

Data Management Data Architecture Data Governance Government 98

Astera

JANUARY 25, 2024

This facilitates the real-time flow of data from data warehouse to reporting dashboards and operational analytics tools, accelerating data processing and providing business leaders with timely information. Data Models: These define the specific sets of data that need to be moved.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

DECEMBER 29, 2023

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. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

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. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Ntara

JULY 26, 2021

Wherever your data is stored between your enterprise resource planning (ERP) and your website or your distributors’ websites, let’s call this your “homegrown” solution. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Ntara

JULY 26, 2021

Wherever your data is stored between your enterprise resource planning (ERP) and your website or your distributors’ websites, let’s call this your “homegrown” solution. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

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

Insight Software

JANUARY 20, 2021

In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models. That process, broadly speaking, is called data management. Worse yet, poor data management can lead managers to make decisions based on faulty assumptions.

Data Management 95

Data Management E-Commerce Data Analytics Data Analytics 95

Astera

APRIL 24, 2024

Lack of Accountability and Ownership It emphasizes accountability by defining roles and responsibilities and assigning data stewards, owners, and custodians to oversee data management practices and enforce governance policies effectively. It automates repetitive tasks, streamlines workflows, and improves operational efficiency.

Data Governance 52

Data Governance Government Data Architecture Data Quality 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

Data Pine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

MAY 13, 2024

Data Aggregation Types and Techniques There are various types of data aggregation. Your requirements and how you plan to use the data will determine which approach suits your use case. Temporal As the name suggests, temporal aggregation summarizes data over specified time intervals.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

JANUARY 24, 2024

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data. Considering cloud-first data management?

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Sisense

AUGUST 21, 2020

Planning for every feature starts with questions about how the user will be able to play around with and modify the input to see how it affects the result. How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis? Trend 5: Augmented data management.

Supply Chain 112

Supply Chain Data Modelling Decision Modelling Visualization 112

Astera

OCTOBER 1, 2022

Database design is a collection of steps that help create, implement, and maintain a business’s data management systems. The primary purpose of designing a database is to produce physical and logical models of designs for the proposed database system. ETL your enterprise data using pre-built database connectors.

Retail 75

Retail Planning Government Data Management 75

Astera

DECEMBER 21, 2022

According to Mordor Intelligence , the demand for data warehouse solutions will reach $13.32 As more businesses embrace digital transformation, data warehousing will play a significant role in the development of an enterprise-scale data management ecosystem for real-time reporting and analytics. billion by 2026.

Data Warehouse 52

Data Warehouse Cloud Computing Cybersecurity Data Modelling 52

Sisense

JUNE 19, 2019

Business moves fast nowadays, and there isn’t enough time for months of preparation, data modeling, IT platform planning, management decisions, and implementation. Actionable Results from Data in One Week Using BI. days left).

Business Intelligence 75

Business Intelligence Business Intelligence Data Modelling Visualization 75

Data Pine

MARCH 25, 2022

BI and BA will provide an organization with a holistic view of the raw data and make decisions more successful and cost-efficient. Data modeling: Marketers or analysts can use data modeling to assess the success of marketing campaigns and find improvement opportunities. What Is Business Intelligence And Analytics?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

JUNE 1, 2023

A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. What is a NoSQL Database?

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

JUNE 1, 2023

A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. What is a NoSQL Database?

Documentation 52

Documentation E-Commerce Big Data Master Data Management 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

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. Conclusion.

Data Management 52

Data Management Real-time Data Data Governance Vision 52

Tableau

SEPTEMBER 23, 2021

This also helps IT with impact analysis and change management, to understand who and which assets are affected downstream when changes are made to a table. While not exhaustive, here are additional capabilities to consider as part of your data management and governance solution: Data preparation. Data modeling.

Data Governance 91

Data Governance Government Data Quality Change Management 91