Sisense

MARCH 18, 2019

Since our target audience covers an entire spectrum of users from the C-Level down to the operational level, our prebuilt dashboards are designed to show high-level metrics when users land on the page and include paths to drill into detail-level data. Sisense is truly unique in that the data layer is decoupled from the visualizations.

Embedded Analytics 71

Embedded Analytics Data Modelling Monitoring Logistics 71

Astera

JULY 3, 2024

It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies. Moreover, a well-designed data architecture enhances data security and compliance by defining clear protocols for data governance.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

AUGUST 30, 2024

Data Migrations Made Efficient with ADP Accelerator Astera Data Pipeline Accelerator increases efficiency by 90%. Try our automated, data model-driven solution for fast, seamless, and effortless data migrations. Automate your migration journey with our holistic, data model-driven solution.

Data Governance 52

Data Governance Government Data Quality Documentation 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

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

Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Actian

OCTOBER 7, 2019

A data hub is a logical architecture which enables data sharing by connecting producers of data (applications, processes, and teams) with consumers of data (other applications, process, and teams). Data hubs also simplify the data governance requirements as the data is persisted at a central location.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

Domo

OCTOBER 22, 2021

Such an offering can also simplify and integrate data management on a massive scale—whether that data lives on premises or in cloud environments—and be used to develop an enterprise-wide data modeling process. For another, it enables business users to access warehouse data in a highly governed way.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 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

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 Big Data Healthcare Data Governance 52

Actian

OCTOBER 7, 2019

A data hub is a logical architecture which enables data sharing by connecting producers of data (applications, processes, and teams) with consumers of data (other applications, process, and teams). Data hubs also simplify the data governance requirements as the data is persisted at a central location.

Data Warehouse 40

Data Warehouse Government Data Governance Agile 40

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. Some of these features include reporting tools, dashboards, and data modeling.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

AUGUST 16, 2024

Poor Data Governance, Access, and Security Transferring data is one thing, but what about the access permissions and governance policies surrounding that data? Data security can be another challenge when migrating unstructured data.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 52

Whizlabs

APRIL 19, 2021

His 20+ years of experience has made him an expert in Cloud Computing Strategy & Governance, Cloud Centre of Excellence leadership, Cloud Migration, IaaS/PaaS and Public/Hybrid Cloud. He is a globally recognized thought leader in IoT, Cloud Data Security, Health Tech, Digital Health and many more.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Astera

JULY 13, 2023

Master Data Management (MDM) Master data management is a process of creating a single, authoritative source of data for business-critical information, such as customer or product data. One of the key benefits of MDM is that it can help to improve data quality and reduce errors.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Actian

NOVEMBER 26, 2019

The recent shift towards the cloud, SaaS services, mobile devices, and IoT has made data integration and management highly challenging and enforcing the required security and governance nearly impossible. Without the right tools, this task can be nearly impossible.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Digital 8

Astera

DECEMBER 22, 2022

It’s one of the three core data types, along with structured and semi-structured formats. Examples of unstructured data include call logs, chat transcripts, contracts, and sensor data, as these datasets are not arranged according to a preset data model. This makes managing unstructured data difficult.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Astera

JANUARY 24, 2024

If your Reverse ETL tool prioritizes sync reliability and robustness, you can rest easy knowing that your data will be synchronized regardless of any technical difficulties or other issues that may arise. Also look for data protection measures such as encryption for optimum security.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

JUNE 3, 2024

A database secures sensitive information through access controls Using a modern database management system (DBMS) enhances data security by restricting access to unauthorized users through various access controls. Relational databases excel with structured data, while NoSQL options cater to more flexible data models.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Leading Agile

NOVEMBER 22, 2023

So leading Agile brings this idea of business capability, architecture, teaming strategies, flow-based governance, ultimately starting with business capabilities, but ultimately organizing around value streams, incremental and iterative transformation. Not a lot of people that deeply understand. So we look at all the dependencies.

Agile 62

Agile Business Architecture Government Project Management 62

Leading Agile

NOVEMBER 22, 2023

So leading Agile brings this idea of business capability, architecture, teaming strategies, flow-based governance, ultimately starting with business capabilities, but ultimately organizing around value streams, incremental and iterative transformation. Not a lot of people that deeply understand. So we look at all the dependencies.

Agile 62

Agile Business Architecture Government Project Management 62

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. Test the tool’s transformation capabilities with data samples.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Astera

JANUARY 12, 2024

Modern data architecture is characterized by flexibility and adaptability, allowing organizations to seamlessly integrate structured and unstructured data, facilitate real-time analytics, and ensure robust data governance and security, fostering data-driven insights.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

Content creators want a managed experience where they can query governed data sources, create dashboards and reports, and share what they’ve created with colleagues. Data analysts need a self-directed experience. They start with a blank canvas and connect to their own data sources. These support multi-tenancy.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52