Business Analysis Knowledge Share

OCTOBER 27, 2023

This data, if harnessed effectively, can provide valuable insights that drive decision-making and ultimately lead to improved performance and profitability. This is where Business Intelligence (BI) projects come into play, aiming to transform raw data into actionable information.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Domo

MAY 31, 2021

Most IT leaders (97%) agree, designating self-service business intelligence tools as a top priority, according to a recent IDG survey. Ultimately, self-service BI democratizes data insights, giving users the ability to explore on demand. NOTE: This post was written by a representative of International Data Group, Inc.

Logistics 98

Logistics Pharmaceutical Government Customer Experience 98

Domo

OCTOBER 24, 2024

SILICON SLOPES, Utah — Today Domo (Nasdaq: DOMO) announced it has been ranked an “Overall Leader” in Dresner Advisory Services’ 2024 Wisdom of Crowds® Small and Midsize Enterprise (SME) Business Intelligence (BI) Market Study. Wisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors.

Business Intelligence 52

Business Intelligence Business Intelligence Cloud Computing Customer Experience 52

Domo

AUGUST 2, 2023

SILICON SLOPES, Utah – Today Domo (Nasdaq: DOMO) announced it has been named an overall leader and received its seventh consecutive perfect recommendation score in Dresner Advisory Services’ 2023 Wisdom of Crowds ® Business Intelligence (BI) Market Study Customer Experience and Vendor Credibility Models.

Business Intelligence 52

Business Intelligence Business Intelligence Cloud Computing Customer Experience 52

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Astera

DECEMBER 16, 2024

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. Integrate.io

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Smart Data Collective

APRIL 20, 2022

Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow.

Documentation 363

Documentation Data Quality Data Security Data Management 363

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

Astera

APRIL 7, 2023

A robust data warehouse architecture does everything in data management—including ETL (extraction, transformation, loading)—while ensuring data quality, consistency, speedy retrieval, and enhanced security at all times. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

MARCH 31, 2023

Team members heavily depend on these repositories for decision-making, reporting and visualizing data, and other business intelligence activities. With every department operating in an isolated silo, the data they base their decisions on is mostly inconsistent, inaccurate, and not up to date. Building a SSOT?

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Quality 52

Astera

MAY 20, 2024

Data provenance answers questions like: What is the source of this data? Who created this data? This information helps ensure data quality, transparency, and accountability. This proactive approach enhances the overall trust in the data and streamlines data validation processes.

Data Governance 52

Data Governance Healthcare Government Data Quality 52

Astera

JULY 3, 2024

An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications. It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 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

NOVEMBER 1, 2023

Data warehouses have risen to prominence as fundamental tools that empower financial institutions to capitalize on the vast volumes of data for streamlined reporting and business intelligence. Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

MAY 13, 2024

Besides being relevant, your data must be complete, up-to-date, and accurate. Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. PII under EU GDPR or internal team data).

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

JULY 13, 2023

Data warehouses are designed to support complex queries and provide a historical data perspective, making them ideal for consolidated data analysis. They are used when organizations need a consolidated and structured view of data for business intelligence, reporting, and advanced analytics.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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

Dataversity

AUGUST 12, 2024

We live in a data-driven culture, which means that as a business leader, you probably have more data than you know what to do with. To gain control over your data, it is essential to implement a data governance strategy that considers the business needs of every level, from basement to boardroom.

Data Governance 130

Data Governance Government Data Quality Data Security 130

Astera

APRIL 24, 2024

Enterprise-Grade Integration Engine : Offers comprehensive tools for integrating diverse data sources and native connectors for easy mapping. Interactive, Automated Data Preparation : Ensures data quality using data health monitors, interactive grids, and robust quality checks.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Astera

SEPTEMBER 1, 2023

In addition, data warehousing helps improve other data management aspects, including: Data Security: Centralizing data in a data warehouse enables the implementation of robust security measures, ensuring that sensitive information is appropriately protected.

Data Warehouse 40

Data Warehouse Data Modelling Data Quality Data Security 40

Astera

NOVEMBER 13, 2023

What is an Enterprise Data Warehouse (EDW)? An Enterprise Data Warehouse is a centralized repository that consolidates data from various sources within an organization for business intelligence, reporting, and analysis. This schema is particularly useful for data warehouses with substantial data volumes.

Data Warehouse 52

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

Dataversity

MAY 4, 2021

Data is all-pervading in the modern world. Regardless of one’s industry or field, every organization always uses data in their everyday operations to help them attain their goals or help monitor their performance. However, without incorporating Data Management best practices, your data analysis may be flawed. […].

Data Management 130

Data Management Monitoring Data Visualization Data Quality 130

Astera

JANUARY 17, 2024

Data movement is the process of transferring data from one place to another. This process is typically initiated when there are system upgrades, consolidations, or when there is a need to synchronize data across different platforms for business intelligence or other operational purposes.

Real-time Data 52

Real-time Data Data Warehouse Data Management Data Security 52

Astera

AUGUST 5, 2024

Through these steps, business analytics helps organizations leverage data effectively, empowering stakeholders to make informed decisions and achieve sustainable growth. Overcoming Challenges in Business Analytics Implementing business analytics can greatly improve decision-making and efficiency, but it comes with challenges.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Astera

JUNE 3, 2024

While traditional databases excel at storing and managing operational data for day-to-day transactions, data warehouses focus on historical and aggregated data from various sources within an organization. Today, cloud computing, artificial intelligence (AI), and machine learning (ML) are pushing the boundaries of databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

NOVEMBER 13, 2023

These compute nodes subsequently return the query results to the leader nodes, which consolidate and prepare the data for client-side applications to utilize. Consider factors such as scalability, integration capabilities, pricing, and data processing features.

Data Warehouse 52

Data Warehouse Real-time Data Planning Agile 52

The Data Administration Newsletter

FEBRUARY 7, 2024

It involves the gathering, classifying, and analyzing of large volumes of data. Given its very nature, it’s the perfect field for data analytics, which can speed processes up and assess the quality and reliability of data. Due […]

Data Analytics 52

Data Analytics Data Analytics Data Quality Data Governance 52

Insight Software

MAY 8, 2024

According to a recent Dresner Advisory Services’ Wisdom of Crowds® Business Intelligence Market Study, Logi Symphony has been recognized as a leader in the field. Among other findings, the report identifies operations, executive management, and finance as the key drivers for business intelligence practices.

Business Intelligence 52

Business Intelligence Business Intelligence IBM Support Embedded Analytics 52

Insight Software

MARCH 14, 2024

The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Jet’s interface lets you handle data administration easily, without advanced coding skills. You don’t need technical skills to manage complex data workflows in the Fabric environment.

IBM Maintenance 52

IBM Maintenance IBM Support Data Discovery Supply Chain 52

Analysts Corner

NOVEMBER 18, 2024

This means not only do we analyze existing data, but we can also create synthetic datasets. Imagine needing to train a model but lacking sufficient data? Data security and potential pitfalls like data poisoning should be priorities for anyone working in analytics. How do we ensure data quality and security?

Data Analytics 130

Data Analytics Data Analytics Visualization Healthcare 130