Timo Elliott

NOVEMBER 30, 2022

First, everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. All the industry analysts have a similar vision of what that agile future of business looks like. Innovating Faster. But how do they do that? Analysis to Action.

Innovation 246

Innovation Vision Data Warehouse Logistics 246

Domo

APRIL 14, 2021

If you attended Domopalooza 2021 or have read anything about it, then you know that data agility is one of the three principles that not only form the foundation of Domo but enable modern BI for all. But what exactly is data agility? Indeed, 38 sessions fell under the data agility track at Domopalooza.

Agile 98

Agile Data Warehouse Data Architecture Logistics 98

Timo Elliott

MARCH 6, 2023

Elliott also emphasizes the importance of empowering employees by providing them with necessary tools and information, while maintaining a secure and compliant framework to avoid chaos. To address this, a digital business platform is needed, which is a solid foundation of technology to enable agile and flexible innovation.

Artificial Intelligence 278

Artificial Intelligence Innovation Supply Chain Logistics 278

Astera

NOVEMBER 14, 2023

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end.

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

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. What are Information Marts?

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Best Practices to Build Your Data Warehouse .

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

Astera

NOVEMBER 1, 2023

It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Dataversity

DECEMBER 14, 2020

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

Data Warehouse 147

Data Warehouse Big Data Data Architecture Data Management 147

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

Dataversity

FEBRUARY 8, 2022

Every generation of data infrastructure technology has promised more speed and agility, or better standardization, centralization, and control. The post How to Combine Agility and Control with Data Convergence appeared first on DATAVERSITY. Essentially, […].

Agile 130

Agile Government Data Warehouse Data Architecture 130

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

Sisense

APRIL 9, 2021

Until then though, they don’t necessarily want to spend the time and resources necessary to create a schema to house this data in a traditional data warehouse. Instead, businesses are increasingly turning to data lakes to store massive amounts of unstructured data. The rise of data warehouses and data lakes.

Data Warehouse 52

Data Warehouse Documentation Innovation Agile 52

Astera

JANUARY 29, 2024

As we approach Data Privacy Day on January 28th, it’s crucial to recognize the significance of enterprise data privacy in our increasingly digital world. Data privacy is a fundamental aspect that businesses, especially those dealing with vast amounts of data, must ensure to protect sensitive information.

Government 145

Government Data Warehouse Data Governance Digital 145

BizAcuity

SEPTEMBER 22, 2022

Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. Not being an agile cloud data warehouse.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

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

BizAcuity

APRIL 1, 2023

PowerCenter can move the existing account data to the new application. Informatica Cloud Data Integration is the cloud-based Power Center, which delivers accessible, trusted, and secure data to facilitate more valuable business decisions. For example, company A purchases Company B.

Data Warehouse 130

Data Warehouse Documentation Government Monitoring 130

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 strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations.

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 strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

APRIL 1, 2023

Introduction Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Dataversity

APRIL 5, 2021

Agility is key to success here. However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark.

Data Management 244

Data Management Agile Data Warehouse Data Modelling 244

Dataversity

SEPTEMBER 27, 2021

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. extract, transform, load) projects are often devoid of automated testing. The […].

Agile 246

Agile Data Warehouse Data Quality Data Architecture 246

Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Actian

JULY 17, 2019

If your company has existed for a number of years, then you likely have multiple databases, data marts and data warehouses, developed for independent business functions, that now must be integrated to provide the holistic perspective that digitally transformed business processes require. Why are distributed queries problematic?

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Actian

FEBRUARY 17, 2020

Your users are happy, but management is starting to ask questions about what’s next and how they can pull together the data from across different systems to drive real-time decision making across your operations. You need a real-time connected data warehouse. Why You Need a Connected Data Warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

ElegantJ BI

APRIL 29, 2012

Business agility is essential (we all know that)! Success depends on rapid, reliable decisions and your confidence in the information you use to make those decisions! 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.

Data Warehouse 100

Data Warehouse Monitoring Agile Planning 100

Insight Software

JANUARY 5, 2021

Then the team needed to extract the information to Excel, consolidate it, format it, add formulas, and double-check the results. Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards. Demand is volatile.

Supply Chain 98

Supply Chain Data Warehouse Finance Business Intelligence 98

BizAcuity

DECEMBER 28, 2022

PowerCenter can move the existing account data to the new application. Informatica preserves data lineage for tax, accounting, and other legally mandated purposes. Informatica tool for Data Warehousing: Companies establishing their warehouses of data will need ETL to transfer the data to the warehouse from the Production system.

Data Warehouse 100

Data Warehouse Documentation Government Monitoring 100

Sisense

JULY 22, 2020

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.”

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Sisense

APRIL 17, 2020

Identifying the exact data you need to solve a singular problem results in a perfect candidate to go into your warehouse on the first cycle. Identifying the exact data you need to solve a singular problem results in a perfect candidate to go into your warehouse on the first cycle.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Domo

JUNE 15, 2022

That means your data apps can run on Snowflake right alongside data stored in Domo—and even alongside your Databricks lakehouse—in one seamless experience. No moving or copying data—ever. You get all of this agility with none of the expected trade-offs in performance.

Cloud Computing 86

Cloud Computing Data Governance Data Warehouse Government 86

Actian

FEBRUARY 13, 2020

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? The first article looked at manufacturing operations and integrating data across your supply chain.

Data Warehouse 40

Data Warehouse Supply Chain Enterprise Architecture Digital Transformation 40

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. For more information go to Actian Avalanche cloud data warehouse.

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

Data Pine

MAY 29, 2019

Effective decision-making processes in business are dependent upon high-quality information. 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.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Business Analysis Knowledge Share

OCTOBER 24, 2023

Data Warehousing is the process of collecting, storing, and managing data from various sources into a central repository. This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Data Sources Data Warehouses collect data from diverse sources within an organization.

IBM Maintenance 75

IBM Maintenance Data Warehouse IBM cost Data Quality 75

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

Actian

MAY 22, 2019

When most company leaders think about their data warehouse and the systems connected to it, they typically think about their internal IT systems. For companies with outsourced supply chains, real time integration with their suppliers’ systems and data warehouse can enable better insights, better security and more supply-chain agility.

Supply Chain 40

Supply Chain Agile Data Warehouse Monitoring 40