Actian

JULY 26, 2019

So, you have made the business case to modernize your data warehouse. A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. Good choice! Want all the details? What is the right choice?

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

Tableau

MAY 11, 2022

If you are tasked with enforcing data management, you can have access to metrics on what data is being used, by whom, and at what frequency to make data source cleanup easier. . Connect and manage disparate data securely. The average enterprise has data in over 800 applications, and just 29% of them are connected.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

If you are tasked with enforcing data management, you can have access to metrics on what data is being used, by whom, and at what frequency to make data source cleanup easier. . Connect and manage disparate data securely. The average enterprise has data in over 800 applications, and just 29% of them are connected.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Domo

JULY 23, 2024

Breaking down data silos: the CIO’s dilemma Enterprise data is often stuck in silos—scattered across business systems, SaaS applications, and data warehouses. This fragmentation creates “BI breadlines,” where data requests pile up and slow down progress.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

Insight Software

JULY 29, 2020

While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse. But does OBIEE stack up? Disadvantages of OBIEE.

Data Warehouse 98

Data Warehouse Supply Chain Finance Visualization 98

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

NOVEMBER 30, 2023

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 Data Vault 2.0 What’s New in Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Actian

OCTOBER 7, 2019

When you want to change or upgrade systems, tools or technologies, you must find all the connections entering and exiting what is being changed and ensure they are migrated and upgraded effectively – this is a barrier to business agility and impacts your time to market/value. Data Hubs enable efficiency, scale, and agility.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

Actian

NOVEMBER 26, 2019

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Conceptually, it is easy to understand why you would want to move to a cloud data warehouse.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Digital 8

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

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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

DECEMBER 18, 2023

These processes are critical for banks to manage and utilize their vast amounts of data effectively. However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies.

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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

Actian

OCTOBER 7, 2019

When you want to change or upgrade systems, tools or technologies, you must find all the connections entering and exiting what is being changed and ensure they are migrated and upgraded effectively – this is a barrier to business agility and impacts your time to market/value. Data Hubs enable efficiency, scale, and agility.

Data Warehouse 40

Data Warehouse Government Data Governance Agile 40

Astera

APRIL 3, 2023

Did you know that the amount of data generated worldwide is predicted to reach a staggering 180 zettabytes by 2025? While this wealth of data can help uncover valuable insights and trends that help businesses make better decisions and become more agile, it can also be a problem.

IBM Maintenance 52

IBM Maintenance IBM cost Data Security IBM Support 52

Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs.

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Astera

SEPTEMBER 20, 2024

his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses. Ensure the provider has robust security protocols and certifications.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

DECEMBER 18, 2023

These processes are critical for banks to manage and utilize their vast amounts of data effectively. However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies.

Finance 40

Finance Banking Real-time Data Data Warehouse 40

Astera

MAY 25, 2023

It was designed for speed and scalability and supports a wide variety of applications, from web applications to data warehouses. MySQL is written in C and C++, it uses Structured Query Language (SQL) to interact with databases and can handle large volumes of data. So, how does Astera Centerprise use MySQL and SQL Server?

Data Warehouse 52

Data Warehouse Data Requirement Finance Data Security 52

Astera

OCTOBER 19, 2023

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

AUGUST 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Business Analysis Knowledge Share

OCTOBER 27, 2023

Introduction In today’s data-driven landscape, businesses have recognized the paramount importance of harnessing the power of data to stay competitive and agile. Business Intelligence (BI) has emerged as a critical tool for organizations seeking to gain insights from their data and make informed decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

ElegantJ BI

NOVEMBER 19, 2019

ETL, as it is called, refers to the process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Quality Data Security Monitoring 130

ElegantJ BI

NOVEMBER 19, 2019

ETL, as it is called, refers to the process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Quality Data Security Monitoring 130

ElegantJ BI

NOVEMBER 19, 2019

ETL, as it is called, refers to the process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Quality Data Security Monitoring 130

Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

APRIL 10, 2023

Source: Gartner As companies continue to move their operations to the cloud, they are also adopting cloud-based data integration solutions, such as cloud data warehouses and data lakes. Data Security and Privacy Data privacy and security are critical concerns for businesses in today’s data-driven economy.

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Insight Software

MAY 1, 2023

If the app has simple requirements, basic security, and no plans to modernize its capabilities at a future date, this can be a good 1.0. These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

APRIL 25, 2024

With multitudes of regulations surrounding everything from reporting to data security, organizations can quickly become overwhelmed. Leveraging SOX compliance software enables organizations to support their culture of compliance by strengthening their internal controls, mitigating risks, and enhancing data security.

IBM Maintenance 52

IBM Maintenance IBM Support Government IBM cost 52

Insight Software

AUGUST 20, 2024

While business leaders do have concerns about migration costs and data security, the benefits of moving to the cloud are impossible to deny. The Elephant in the Room: Concerns About the Cloud Migrating your Oracle environment to the cloud presents an exciting opportunity for increased agility, scalability, and cost savings.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Security 52

Insight Software

NOVEMBER 4, 2024

BigQuery Integration for Enhanced Big Data Capabilities Big data is an incredibly valuable asset for your users, but extracting value from it often involves navigating complex processes and incurring extra costs. For end users, this means seamless data consolidation and blending, unlocking opportunities for advanced analytics at scale.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

APRIL 30, 2024

The ever-growing threat landscape of hackers, cyberattacks, and data breaches makes data security a top priority, especially when integrating analytics capabilities directly into customer-facing applications. While these platforms secure dashboards and reports, a hidden vulnerability lies within the data connector.

Embedded Analytics 52

Embedded Analytics IBM Maintenance IBM Support Data Security 52

Insight Software

AUGUST 24, 2023

Mitigated Risk and Data Control: Finance teams can retain sensitive financial data on-premises while leveraging the cloud for less sensitive functions. This approach helps mitigate risks associated with data security and compliance, while still harnessing the benefits of cloud scalability and innovation.

IBM Maintenance 52

IBM Maintenance IBM cost Finance IBM Support 52

Insight Software

OCTOBER 18, 2024

Key Challenges of Embedded Dashboards Implementing Embedded Dashboards can present challenges, including technical integration, data security, and user training. Technical integration can be complex, especially when connecting multiple data sources through APIs, requiring a stable infrastructure to support data flow.

IBM Support 40

IBM Support Embedded Analytics IBM Maintenance IBM Expert 40