Tableau

JANUARY 31, 2022

To navigate the data chaos and make sense of a rapidly-changing landscape, we spoke with experts, customers, and other Tableau leaders to learn what emerging forces continue to evolve how we work, the role data and analytics play, and what this means to the future of our customers, partners, company, and the Tableau Community. .

Artificial Intelligence 98

Artificial Intelligence Chief Data Officer Government Data Governance 98

Smart Data Collective

MAY 20, 2019

There are many reasons why data is being generated so quickly — doubling in size every two years. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. They specifically help shape the industry, altering how business analysts work with data.

Cloud Computing 279

Cloud Computing IBM Support Big Data Real-time Data 279

Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. Incomplete or inaccurate data can lead to incorrect conclusions and decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Domo

OCTOBER 12, 2021

In order to maintain data governance, administrators can determine which users are allowed to create Dataset Views in Analyzer. Just like normal datasets in Domo, these user-generated datasets will be live and always up-to-date with the latest inputs, enabling users to make decisions based on real-time data.

Real-time Data 52

Real-time Data Data Governance Government Visualization 52

Astera

NOVEMBER 30, 2023

It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. With its ability to adapt to changing data types and offer real-time data processing capabilities, it empowers businesses to make timely, data-driven decisions.

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

JUNE 13, 2023

Evolution of Data Pipelines: From CPU Automation to Real-Time Flow Data pipelines have evolved over the past four decades, originating from the automation of CPU instructions to the seamless flow of real-time data. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

JUNE 6, 2023

The best data pipeline tools offer the necessary infrastructure to automate data workflows, ensuring impeccable data quality, reliability, and timely availability. Empowering data engineers and analysts, these tools streamline data processing, integrate diverse sources, and establish robust data governance practices.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Cprime

APRIL 16, 2024

– Generative AI (Gen AI) is transforming the energy and materials sector by enhancing efficiency, driving innovation, and supporting sustainability efforts through advanced data analysis and predictive modeling. How does Gen AI improve predictive maintenance in the energy sector?

Innovation 59

Innovation Digital Government Vision 59

Astera

AUGUST 3, 2023

Ensuring Timeliness of Data The timeliness of data is critical in B2B EDI, as outdated or delayed data can impact decision-making and overall business operations. ETL processes can help ensure the timely availability of data by automating data extraction and transformation.

Data Quality 52

Data Quality Supply Chain Monitoring Real-time Data 52

Astera

AUGUST 3, 2023

Ensuring Timeliness of Data The timeliness of data is critical in B2B EDI, as outdated or delayed data can impact decision-making and overall business operations. ETL processes can help ensure the timely availability of data by automating data extraction and transformation.

Data Quality 52

Data Quality Supply Chain Monitoring Real-time Data 52

Astera

JUNE 6, 2023

Technology Selection: Choose suitable tools and technologies based on data volume, processing needs, compatibility, and cloud options. Data Flow and Integration Design: Design the overall data flow and integration processes, including sequencing, transformation rules, and data governance policies.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Domo

APRIL 16, 2021

This simplifies the process for the customer and means the client always has access to the most up-to-date data, because they’re accessing it in real time. It’s governed. UDAPs don’t just cascade the data; they cascade all of the permissions and restrictions attached to it. It’s customizable.

Government 52

Government Real-time Data Visualization Data Governance 52

Insight Software

SEPTEMBER 29, 2021

They use data and software with machine learning (artificial intelligence) to model and compare ‘what-if’ scenarios to grow the business. In response to changing circumstances, real-time data is used to understand variances and isolate issues. Use Modern Governance Methods.

Finance 52

Finance Artificial Intelligence Government Digital Transformation 52

Astera

MAY 13, 2024

These are some uses of hierarchical aggregation in a few industries: Finance: Evaluating financial data by transaction, account type, and branch. Government: Using regional and administrative level demographic data to guide decision-making. Manufacturing: Overseeing the production cycle by SKU, production line, and factory.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

JANUARY 15, 2024

Real-time data preview. Here’s a high-level product overview of Astera: Talend Talend Data Fabric is a comprehensive data management platform that aims to unify data integration, data quality, and data governance in a single, easy-to-use solution. Pushdown optimization.

Real-time Data 52

Real-time Data Data Warehouse Data Quality Visualization 52

Domo

MAY 24, 2021

To ensure harmony, here are some key points to consider as you are weighing cloud data integration for analytics: Act before governance issues compound. There are limits to data lake and data warehouse configurations, especially when these limitations scale due to company size and complexity within the organization.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Astera

FEBRUARY 9, 2024

Enhancing data governance and customer insights. According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data. You can choose the destination type and format depending on the data usage and consumption.

IBM Support 52

IBM Support Data Quality IBM Maintenance Data Governance 52

Astera

APRIL 24, 2024

ETL (Extract, Transform, Load) Tools : While ETL tools can handle the overall data integration process, they are also often used for data ingestion. Data Integration Platforms : Data integration platforms offer multiple data handling capabilities, including ingestion, integration, transformation, and management.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Astera

JANUARY 2, 2024

When data is organized and accessible, different departments can work cohesively, sharing insights and working towards common goals. Data Governance vs Data Management One of the key points to remember is that data governance and data management are not the same concepts—they are more different than similar.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

AUGUST 8, 2023

You can visualize and explore data intuitively for accuracy and consistency. Reusable Scripts: Astera streamlines data preparation with efficient, reusable scripts across workflows, promoting automation, efficiency, and consistency. Based on user feedback, Ataccama ONE exhibits certain limitations.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

JULY 13, 2023

This would allow the sales team to access the data they need without having to switch between different systems. Enterprise Application Integration (EAI) EAI focuses on integrating data and processes across disparate applications within an organization.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

NOVEMBER 1, 2023

Think of a database as a digital filing cabinet that allows users to store, retrieve, and manipulate data efficiently. Databases are optimized for fast read and write operations, which makes them ideal for applications that require real-time data processing and quick access to specific information.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Astera

OCTOBER 12, 2023

million to the US government when their lack of proper screening mechanisms led to 500 PayPal transactions worth $44,000, violating sanctions against Iran, Cuba, and Sudan. By offering agile data cleansing and correction capabilities, the tool empowers you to access trusted, accurate, and consistent data for reliable insights.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

NOVEMBER 13, 2023

For instance, marketing teams can use data from EDWs to analyze customer behavior and optimize campaigns, while finance can monitor financial performance and HR can track workforce metrics, all contributing to informed, cross-functional decision-making. Conclusion Looking ahead, the future of EDWs appears promising.

Data Warehouse 52

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

Astera

MARCH 30, 2023

Data sharing also enables better, informed decisions by providing access to data collected by various business functions such as operations, customer success, marketing, etc. Moreover, data sharing leads to better data governance by centralizing their data and ensuring that it is consistent, accurate, and updated.

Data Quality 52

Data Quality Data Warehouse Data Security Finance 52

Astera

NOVEMBER 28, 2023

They also facilitate dynamic pricing, where fares can be adjusted in real-time based on factors like demand, traffic, and weather conditions, thereby enhancing operational efficiency. Promoting Data Governance: Data pipelines ensure that data is handled in a way that complies with internal policies and external regulations.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Cprime

DECEMBER 21, 2022

Unifying information components to normalize the data and provide business intelligence tools to access marketing data and enhance productivity and efficiency. Optimizing business processes using accurate real-time data necessary for timely reaction to challenges, as well as adaptation to changes in customer needs and behaviors.

Data Management 52

Data Management Real-time Data Data Governance Vision 52

Data Pine

FEBRUARY 22, 2022

A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. Save time and money: Thinking carefully about a BI roadmap will not only help you make better strategic decisions but will also save your business time and money.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Astera

APRIL 24, 2024

IBM Cloud Pak for Data IBM Cloud Pak for Data is an integrated data and AI platform that aids in removing data silos and improving data security and accessibility. It offers a modular set of software components for data management. Ensure support for real-time data access if needed for operations.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52