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. This also applies to businesses that may not have a data warehouse and operate with the help of a backend database system.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 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

Analysts Corner

OCTOBER 26, 2023

This data must be cleaned, transformed, and integrated to create a consistent and accurate view of the organization’s data. Data Storage: Once the data has been collected and integrated, it must be stored in a centralized repository, such as a data warehouse or a data lake.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Good Visualization Options.

IBM Support 130

IBM Support IBM cost IBM Maintenance Big Data 130

The BAWorld

FEBRUARY 18, 2025

Creates data models, streamlines ETL processes, and enhances Power BI performance. ollaborates with analysts and IT teams to provide smooth data flow. Mid-Level Positions (4-8 years experience) Senior Power BI Data Analyst: Directs data visualization projects, enhancing report usability and design.

Data Modelling 40

Data Modelling Data Warehouse Data Security Government 40

Sisense

JUNE 26, 2019

Consolidating into one integrated tool for prep, analysis, and visualization gives you and your team more functionality all in one place. Once you get connected, there are a few ways you can access and work with your data: Query Data Live. Enterprise companies usually have legacy systems that contain important data.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

Tableau

APRIL 18, 2022

Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation. Provide a visual and direct way to combine, shape, and clean data in a few clicks. Ensure the behaves the way you want it to— especially sensitive data and access.

Data Quality 102

Data Quality Government Artificial Intelligence Data Warehouse 102

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Tableau

APRIL 18, 2022

Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation. Provide a visual and direct way to combine, shape, and clean data in a few clicks. Ensure the behaves the way you want it to— especially sensitive data and access.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Insight Software

JULY 29, 2020

Using OBIEE as Discoverer’s replacement is intended to help unlock the power of your information with robust reporting, ad hoc query and analysis, OLAP, dashboard, and scorecard functionality that offers the end user an experience that comes with visualization, collaboration, alert capabilities, and more. But does OBIEE stack up?

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 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

Astera

SEPTEMBER 25, 2024

With Astera, users can: Extract data from PDFs using our LLM-powered solution. Cleanse and validate Integrate data from CRMs, databases, EDI files, and APIs. Load data to various cloud data warehouses and lakes. Govern their data assets. AI-powered data mapping. Real-time data transfer capabilities.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Sisense

AUGUST 9, 2021

In our latest Sisense release, we came out with the first iteration of Notebooks, a new way to perform ad hoc analysis on disparate datasets, develop powerful charts that tell your data’s story, and provide users with a single platform for both in-depth analysis and BI that preserves data security and integrity.

Data Security 52

Data Security Product Management Product Management Data Warehouse 52

Sisense

MARCH 13, 2019

Can I create my own visualizations or connect to third-party charts to maximize the visualization possibilities for my analytics? Which add-ons, libraries, and certified extensions can I download to help users configure new visualizations? Can these open APIs give access to external developers for quick fixes and enhancements?

Embedded Analytics 69

Embedded Analytics Business Intelligence Business Intelligence Customer Experience 69

Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Astera

OCTOBER 16, 2023

Data migration centralizes this dispersed data, making it easier to manage, access, and analyze. Compliance and Security: Organizations must comply with data protection regulations and ensure data security.

Data Warehouse 40

Data Warehouse Data Quality Data Security Visualization 40

Astera

NOVEMBER 28, 2023

For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback. They can then transform that data into a unified format, and load it into a data warehouse. Facilitating Real-Time Analytics: Modern data pipelines allow businesses to analyze data as it is generated.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

JUNE 6, 2023

The transformation layer applies cleansing, filtering, and data manipulation techniques, while the loading layer transfers the transformed data to a target repository, such as a data warehouse or data lake. Types of ETL Architectures Batch ETL Architecture: Data is processed at scheduled intervals.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Data Warehouse 173

Data Warehouse Data Visualization Data Security Data Governance 173

Astera

MARCH 31, 2023

Global enterprises have data scattered across different business units, and then further spread across different departments with every department having its own central repository. Team members heavily depend on these repositories for decision-making, reporting and visualizing data, and other business intelligence activities.

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Astera

DECEMBER 28, 2023

Access Control Informatica enables users to fine-tune access controls and manage permissions for data sets. They can also set permissions on database, domain, and security rule set nodes to authorize users to edit the nodes. Data Security As far as security is concerned, Informatica employs a range of measures tailored to its suite.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Access Control Informatica enables users to fine-tune access controls and manage permissions for data sets. They can also set permissions on database, domain, and security rule set nodes to authorize users to edit the nodes. Data Security As far as security is concerned, Informatica employs a range of measures tailored to its suite.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

JANUARY 24, 2024

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data. It provides multiple security measures for data protection.

Data Warehouse 52

Data Warehouse Data Quality Data Management 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

JUNE 14, 2023

Ensuring data quality and consistency. Loading/Integration: Establishing a robust data storage system to store all the transformed data. Ensuring data security and privacy. Overcoming these challenges is crucial for utilizing external data effectively and gaining valuable insights.

Procurement 40

Procurement Data Security Monitoring Retail 40

Business Analysis Knowledge Share

OCTOBER 27, 2023

This may involve data from internal systems, external sources, or third-party data providers. The data collected should be integrated into a centralized repository, often referred to as a data warehouse or data lake. Data integration ensures that all necessary information is readily available for analysis.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

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.

Data Warehouse 52

Data Warehouse Data Requirement Finance 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

Insight Software

FEBRUARY 25, 2025

Lets take a closer look at just how expensive dirty data can be. How Much is Dirty Data Costing You? According to The Data Warehouse Institute (TDWI), dirty data is costing US companies around $600 billion every year in lost revenue, missed opportunities, and ill-informed strategic decision-making.

Finance 52

Finance Data Quality Visualization Data Warehouse 52

Astera

MAY 14, 2024

This approach empowers data teams to analyze root cause with lightning speed by pinpointing the exact source of problems within queries or reports. These insights allow cost-saving costs and enhanced data warehouse efficiency. PII under EU GDPR or internal team data).

Government 52

Government Data Governance Master Data Management Documentation 52

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

Astera

MARCH 28, 2024

Establishing a data catalog is part of a broader data governance strategy, which includes: creating a business glossary, increasing data literacy across the company and data classification. Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MAY 13, 2024

It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Some of these features include reporting tools, dashboards, and data modeling.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 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

Astera

JUNE 6, 2023

Scalability and Performance: PostgreSQL is highly scalable and performs exceptionally well for high-traffic websites, data warehouses, and critical applications. Data Integrity and Security: Look for robust data integrity mechanisms, transactional support, and referential integrity constraints.

Documentation 52

Documentation Data Warehouse Data Security Data Management 52

Astera

JUNE 6, 2023

Scalability and Performance: PostgreSQL is highly scalable and performs exceptionally well for high-traffic websites, data warehouses, and critical applications. Data Integrity and Security: Look for robust data integrity mechanisms, transactional support, and referential integrity constraints.

Documentation 52

Documentation Data Warehouse Data Security Data Management 52