Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Empowering Admins.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

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

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

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

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 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

Astera

APRIL 7, 2023

Finally, the stored data is retrieved at optimal speeds to support efficient analysis and decision-making. Essentially, a data warehouse also acts as a centralized database for storing structured, analysis-ready data and giving a holistic view of this data to decision-makers.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Dataversity

MAY 28, 2024

Most enterprises today store and process vast amounts of data from various sources within a centralized repository known as a data warehouse or data lake, where they can analyze it with advanced analytics tools to generate critical business insights.

Data Warehouse 130

Data Warehouse Data Architecture Data Security Cybersecurity 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

Analysts Corner

OCTOBER 26, 2023

Mastering Business Intelligence: Comprehensive Guide to Concepts, Components, Techniques, and Examples Introduction to Business Intelligence In today’s data-driven business environment, organizations must leverage the power of data to drive decision-making and improve overall performance. What is Business Intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

Data Warehouse 40

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

BizAcuity

AUGUST 1, 2022

Popular companies that leverage JasperSoft enterprise BI suite include Lufthansa Systems, Iron Mountain, and DATA Inc. Data Security. Good: Self-service capability, ability to work with big data, users can build their own data mart or warehouse. Source: [link] ]. Source: [link] ]. TIBCO JasperSoft Features.

IBM Support 130

IBM Support IBM cost IBM Maintenance Big Data 130

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

AUGUST 10, 2016

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise. Assure data security for proprietary information, personal user data, customer data, etc.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

Astera

DECEMBER 24, 2024

Today, the term refers to the automated method of pulling data from invoices in bulk via tools powered by artificial intelligence (AI) and machine learning algorithms. Being able to extract data from invoices quickly enables them to fast-track financial operations. Why is extracting invoice data challenging?

Documentation 52

Documentation Artificial Intelligence Data Warehouse Digital 52

The BAWorld

FEBRUARY 18, 2025

Senior Power BI Data Engineer (4-8 years) Advanced SQL scripting for data processing. Managing data security and compliance. Implementing enterprise-wide security models and governance policies. Scenario: What strategies would you use to integrate Power BI with a cloud-based data warehouse?

Data Modelling 40

Data Modelling Data Warehouse Data Security Government 40

Actian

JULY 26, 2019

So, you have made the business case to modernize your data warehouse. But how do you effectively go about choosing the right data warehouse to migrate to? Should you stay with your existing traditional data warehouse provider as they try to convince you to stay on-premise with their latest appliance?

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

Sisense

JUNE 26, 2019

You need to find the right data sets, clean them up, and test out interoperability. But you also need to deliver comprehensible insights, make changes on the fly, and continue to deliver the most up-to-date information from the latest data available. Enterprise companies usually have legacy systems that contain important data.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

Domo

JULY 23, 2024

Despite advancements in data engineering and predictive modeling, chief information officers (CIOs) face the tough challenge of making data accessible and breaking down silos that hinder progress. 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

Userzoom

JULY 31, 2019

Blockchain is not a single piece of technology but a package of technologies that have come together – kind of like the YouTube tech stuff above – that invert the way we think of data and information on the internet. As with other industries, data security has become a priority for the research industry.

Banking 56

Banking Big Data Artificial Intelligence Data Warehouse 56

Tableau

APRIL 18, 2022

Tableau helps strike the necessary balance to access, improve data quality, and prepare and model data for analytics use cases, while writing-back data to data management sources. Analytics data catalog. Review quality and structural information on data and data sources to better monitor and curate for use.

Data Quality 102

Data Quality Government Artificial Intelligence Data Warehouse 102

Tableau

APRIL 18, 2022

Tableau helps strike the necessary balance to access, improve data quality, and prepare and model data for analytics use cases, while writing-back data to data management sources. Analytics data catalog. Review quality and structural information on data and data sources to better monitor and curate for use.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Tableau

DECEMBER 22, 2020

What an informative few weeks! Accessibility and scalability of the dashboard resulted in faster time to market and adoption by nearly 70 local authorities, emergency services, and charities now using “data for good.” . Another big concern as analytics programs grow is maintaining data security and governance in a self-service model.

Government 91

Government Data Warehouse Banking Innovation 91

Sisense

APRIL 26, 2020

A data’s “structure” refers to a particular way of organizing and storing it in a database or warehouse so that it can be accessed and analyzed. Different types of information are more suited to being stored in a structured or unstructured format. Structured vs unstructured data.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Insight Software

JULY 29, 2020

In a recent survey of ERP user satisfaction, almost half of the approximately 1,500 respondents said they needed easier access to information , with 35 percent indicating that access to information takes too long. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse.

Data Warehouse 98

Data Warehouse Supply Chain Finance Visualization 98

Astera

SEPTEMBER 1, 2023

The significance of data warehousing for insurance cannot be overstated. It forms the bedrock of modern insurance operations, facilitating data-driven insights and streamlined processes to better serve policyholders. The data warehouse has the highest adoption of data solutions, used by 54% of organizations.

Data Warehouse 40

Data Warehouse Data Modelling Data Quality Data Security 40

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

Actian

SEPTEMBER 3, 2019

You need tools and systems for your business processes to function and to enable your leaders to make informed decisions. One service management expert who specializes in this area estimated data connections account for as much as 40% of the TCO of a typical company’s IT systems.

Data Security 67

Data Security Data Warehouse Monitoring Innovation 67

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

Dataversity

DECEMBER 20, 2021

“Data is the currency of the future,” many experts have predicted. The 21st century has been characterized by the astounding amount of data we’ve gained access to. But what happens if this data isn’t properly stored? A data swamp begins to develop, and accessing that data becomes difficult and sometimes impossible.

Data Warehouse 246

Data Warehouse Data Architecture Data Security 246

Astera

FEBRUARY 9, 2024

Data Quality : Credit institutions should have internally established quality and reliability standards on data (historical, current, and forward-looking information) used as model inputs. Astera’s Data Destinations can be critical in setting up the credit risk assessment pipelines. Transformation features.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Dataversity

FEBRUARY 18, 2022

Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions.

Data Mining 130

Data Mining Big Data Data Warehouse Data Visualization 130

Astera

MARCH 30, 2023

It is an integral aspect of data management within an organization as it enables the stakeholders to access and utilize relevant data sets for analysis, decision making, and other purposes. It involve multiple forms, depending on the requirements and objectives of stakeholders.

Data Quality 52

Data Quality Data Warehouse Data Security Finance 52