Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

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

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

NOVEMBER 13, 2023

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. In this blog, we will discuss everything about a modern data warehouse including why you should invest in one and how you can migrate your traditional infrastructure to a modern data warehouse.

Data Warehouse 52

Data Warehouse Real-time Data Planning Agile 52

Astera

FEBRUARY 28, 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

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy. To ensure minimum latency, efficient data management is key.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy. To ensure minimum latency, efficient data management is key.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

ElegantJ BI

APRIL 29, 2012

Business agility is essential (we all know that)! A healthy dose of skepticism never hurt a business pro! When it comes to BI consulting , skepticism shouldn’t keep you from hiring a BI consultant but it should dictate WHICH BI consultant you choose. Competition and market conditions are ever-changing! Don’t be that stubborn skeptic!

Data Warehouse 100

Data Warehouse Monitoring Agile Planning 100

Astera

DECEMBER 16, 2024

What is Hevo Data and its Key Features Hevo is a data pipeline platform that simplifies data movement and integration across multiple data sources and destinations and can automatically sync data from various sources, such as databases, cloud storage, SaaS applications, or data streaming services, into databases and data warehouses.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

ElegantJ BI

OCTOBER 1, 2020

Instead, the average business user can gather and prepare data on their own with clear insight into the sources and methods so that the outcome meets requirements. What the business needs is a tool that allows users to prepare and analyze data and satisfy the needs of today.

Data Discovery 130

Data Discovery Data Warehouse Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 1, 2020

Instead, the average business user can gather and prepare data on their own with clear insight into the sources and methods so that the outcome meets requirements. What the business needs is a tool that allows users to prepare and analyze data and satisfy the needs of today.

Data Discovery 130

Data Discovery Data Warehouse Government Business Intelligence 130

Insight Software

JANUARY 5, 2021

Fortunately, Microsoft plans to support AX for at least another eight years, but its investments in new functionality will focus on Microsoft D365 F&SCM as AX goes into maintenance mode. Yet unlike legacy data warehouse systems, Jet Analytics offers significant automation capabilities and ease of use.

Supply Chain 98

Supply Chain Data Warehouse Finance Business Intelligence 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. Information marts are data structures optimized for reporting and analysis.

Agile 52

Agile Data Warehouse Data Quality Government 52

Actian

JULY 26, 2019

Unfortunately , this wise saying is not nearly applied as often as it should be to the contemporary topic of data warehouse modernization project design and execution. The result, thousands of data warehouse modernization projects unnecessarily end up in failure. How to get started? .

Data Warehouse 40

Data Warehouse Agile Planning 40

BizAcuity

MAY 10, 2022

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. More on Kubernetes soon.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Tableau

MAY 11, 2022

At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.) Collaborate and drive adoption .

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.) Collaborate and drive adoption .

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Data Pine

MAY 29, 2019

That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights. One of the BI architecture components is data warehousing. Data integration.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

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. Disadvantages of OBIEE. Assess Current Discoverer Report Use.

Data Warehouse 98

Data Warehouse Supply Chain Finance Visualization 98

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Insight Software

JANUARY 6, 2021

Microsoft plans to support its legacy products for at least until 2028, but the company’s future investments in improved functionality will focus on the two new Microsoft D365 products. By allowing enough time for detailed planning and analysis, organizations can more thoroughly assess their specific needs.

Supply Chain 98

Supply Chain Finance Planning Data Warehouse 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 Data Quality Cloud Computing 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 Data Quality Cloud Computing Monitoring 52

Data Pine

OCTOBER 25, 2022

This growth brings a wealth of insight, and if you’re BI-savvy, you’ll be able to squeeze every single drop of value from the mobile data available at your fingertips. Expanding on our previous point, presently, 42% of companies plan to deploy mobile-based BI as part of their growth strategy. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

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

AUGUST 22, 2019

Extract, Transform, and Load (ETL) is the process that has been used to share data between applications, transactional systems, and data warehouses for decades. The push for business agility has caused applications and business processes to change rapidly, thereby increasing the cost of integration between applications.

Data Warehouse 40

Data Warehouse Agile Data Management Planning 40

Actian

AUGUST 22, 2019

Extract, Transform, and Load (ETL) is the process that has been used to share data between applications, transactional systems, and data warehouses for decades. The push for business agility has caused applications and business processes to change rapidly, thereby increasing the cost of integration between applications.

Data Warehouse 8

Data Warehouse Agile Data Management Planning 8

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

AUGUST 19, 2019

Drawbacks to moving your IoT data to the cloud. Using IoT data to solve business problems can create tremendous value for a company in pursuit of digital transformation or enterprise business agility goals. Unfortunately, not all the data IoT devices produce is useful and valuable – some of it is just noise.

Data Warehouse 45

Data Warehouse Digital Transformation Digital Agile 45

Sisense

MARCH 6, 2019

Even the perfect BI platform can find itself in an unfulfilled project if there’s no champion for BI, lack of planning, or misalignment on the attention needed for execution. A big part of our Elastic Data Hub strategy comes from the belief that even the best data warehouses need rapid prototyping environments for BI professionals.

Data Analytics 75

Data Analytics Data Analytics Data Warehouse Agile 75

Astera

JANUARY 19, 2024

Shortcomings in Complete Data Management : While MuleSoft excels in integration and connectivity, it falls short of being an end-to-end data management platform. Notably, MuleSoft lacks built-in capabilities for AI-powered data extraction and the direct construction of data warehouses.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

Insight Software

JULY 26, 2022

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. introduces a range of new features that offer greater productivity, agility, and utility. RALEIGH, N.C.—July formerly Noetix).

Supply Chain 52

Supply Chain Data Warehouse Finance Customer Experience 52

Insight Software

JULY 26, 2022

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. introduces a range of new features that offer greater productivity, agility, and utility. RALEIGH, N.C.—July formerly Noetix).

Supply Chain 52

Supply Chain Data Warehouse Finance Customer Experience 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

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. Check with vendors to learn more about their product roadmap, upgrade plans, and supported functionality. Plan Ahead for Data Migration.

Data Warehouse 52

Data Warehouse Supply Chain Finance Data Modelling 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

Actian

AUGUST 19, 2019

Drawbacks to moving your IoT data to the cloud. Using IoT data to solve business problems can create tremendous value for a company in pursuit of digital transformation or enterprise business agility goals. Unfortunately, not all the data IoT devices produce is useful and valuable – some of it is just noise.

Data Warehouse 8

Data Warehouse Digital Transformation Digital Agile 8