Sisense

AUGUST 11, 2019

The sheer quantity and scope of data produced and stored by your company can make it incredibly hard to peer through the number-fog to pick out the details you need. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

Analysts Corner

JULY 28, 2023

You are familiar with the following keywords: SQL queries, spreadsheet “magic”, data lake, process mining, Tableau, Power BI, or any other business intelligence system. Companies also call it an IT data analyst or Business Intelligence analyst. You do descriptive, diagnostic, and predictive analysis.

Artificial Intelligence 130

Artificial Intelligence Business Analysis Business Analysis Predictive Analytics 130

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

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

Sisense

JANUARY 14, 2021

Because of how delicate customer relationships can be, Billie expended considerable resources monitoring reported data for accuracy and fixing broken charts and reports before consumers could be affected. He works on reporting, analysis, and data modeling. Read on to see how this enterprising team did it.

E-Commerce 85

E-Commerce Business Intelligence Business Intelligence Data Modelling 85

Astera

MAY 13, 2024

Consolidating, summarized data from wide-ranging sources ensures you aren’t considering just one perspective in your analysis. Performance Monitoring Data aggregation facilitates you in monitoring key performance indicators (KPIs) more effectively.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

SEPTEMBER 1, 2023

A data warehouse’s capability to consolidate information empowers insurers to minimize financial losses caused by fraud. Monitoring various operational aspects allows insurers to gain a comprehensive overview, facilitating rapid identification of irregularities and potential fraud indicators.

Data Warehouse 40

Data Warehouse Data Modelling Data Security Data Quality 40

Astera

APRIL 7, 2023

Data Quality Metrics: healthcare data warehouses can establish data quality metrics to measure quality and consistency such as completeness, accuracy, and timeliness. These metrics can then be used to monitor and improve data quality.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Whizlabs

MARCH 14, 2021

Data modelling and visualizations. As ahead, you can monitor your reports through the app. It makes sure that the data is presented in a compelling and much more readable visual manner. Its equipped with the term ‘Business Intelligence’. A hand on access to analysis, monitoring and exploration.

Visualization 52

Visualization Cloud Computing Data Modelling Monitoring 52

Astera

JANUARY 25, 2024

So, in simple terms, reverse ETL helps businesses get the right data to the right tools at the right time, making their work easier and more productive. Primary Focus Integrating, cleansing, and storing data for reporting and analysis. Use Cases Data warehousing, business intelligence, reporting, and data analytics.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 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.

Agile 52

Agile Data Warehouse Data Quality Government 52

Data Pine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Data Pine

SEPTEMBER 29, 2022

Therefore, there are several roles that need to be filled, including: DQM Program Manager: The program manager role should be filled by a high-level leader who accepts the responsibility of general oversight for business intelligence initiatives. The program manager should lead the vision for quality data and ROI.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

APRIL 24, 2024

At its core, Astera boasts a potent ETL engine that automates data integration. Additionally, the platform’s customizable automation enhances efficiency by scheduling tasks and providing real-time monitoring to address integration errors quickly. These features streamline data integration, ensuring users enjoy uninterrupted data flow.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

The BAWorld

NOVEMBER 5, 2023

the Business Analyst's workplace c. Option B none of the above Option C Option A A business analyst is part of a business intelligence project. MuSoft's Business analyst has conducted the elicitation and has modelled the processes and has created data model for the change.

Banking 52

Banking Documentation Business Analysis Business Analysis 52

Astera

JANUARY 23, 2023

Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives. What is Health Data Management ?

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

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

Whizlabs

APRIL 25, 2021

EXAM TOPIC WEIGHTAGE: Configuration of data service, creation and management, security roles, hierarchy of security and business data models: 25-30%. Power Automate, UI flows and business flows: 15%. Type of questions asked: True or false, MCQs and case studies. Validity of certification: 2 years.

Visualization 52

Visualization Business Intelligence Business Intelligence Data Modelling 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 Governance Data Quality Master Data Management 40

Marutitech

MARCH 10, 2022

Business intelligence tools have been the standard for organizations looking to remain ahead of the competition for the past few decades. With the expanding pace of digital changes in business, most analysts are increasingly asking, “What more can we do with data to assist business decisions?”

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

Astera

JANUARY 31, 2024

Its extensibility is evident through components, such as SQL Server Integration Services (SSIS) for ETL , SQL Server Reporting Services (SSRS) for creating and managing reports, SQL Server Analysis Service (SSAS) for analytical data models, and so on.

Data Warehouse 52

Data Warehouse Visualization Data Management Data Quality 52

Astera

OCTOBER 27, 2023

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. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics. We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Cprime

DECEMBER 21, 2022

Unreadable or inaccessible data means that your employees cannot see a broader picture of your business and cannot get insight out of the data your company has already collected. Improving connectivity and visibility to adapt to changes and innovations in the business world.

Data Management 52

Data Management Real-time Data Data Governance Vision 52

Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( see more ). The Benefits of OLAP.

Data Warehouse 326

Data Warehouse Data Modelling Monitoring Business Intelligence 326

Marutitech

JANUARY 21, 2022

Identifying the correct data to process the underlying problem is essential to predict the suitable working model of your data science project. . Apart from reducing the data set, train your model to differentiate and classify your data. Business ethics is always a tricky subject.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Sisense

JULY 6, 2020

These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling. Benefits of enterprise data management.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Sisense

MARCH 18, 2019

As part of our continuing tech investments, CTSI-Global decided to incorporate modern BI technology to help shippers perform advanced forecasting and modeling through elegant and robust visualizations on top of the centralized shipping data we aggregate. Scalability and Monitoring. Automation and Integration.

Embedded Analytics 71

Embedded Analytics Data Modelling Monitoring Logistics 71

Tableau

DECEMBER 7, 2022

Cut costs by consolidating data warehouse investments. Think of Tableau as your data visualization and business intelligence layer on top of Genie—allowing you to see, understand, and act on your live customer data. Sales leaders can reduce time to close with instant access to sales pipeline and purchase data.

Talent Acquisition 96

Talent Acquisition Data Warehouse Data Architecture Visualization 96

Tableau

DECEMBER 7, 2022

Cut costs by consolidating data warehouse investments. Think of Tableau as your data visualization and business intelligence layer on top of Genie—allowing you to see, understand, and act on your live customer data. Sales leaders can reduce time to close with instant access to sales pipeline and purchase data.

Talent Acquisition 94

Talent Acquisition Data Warehouse Data Architecture Visualization 94

Tableau

DECEMBER 7, 2022

Think of Tableau as your data visualization and business intelligence layer on top of Data Cloud—allowing you to see, understand, and act on your live customer data. These features cover functionality for enterprise customer data in five key categories: Connect, Harmonize, Unify, Analyze and Predict, and Act.

Talent Acquisition 53

Talent Acquisition Data Warehouse Data Architecture Visualization 53

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. April 2018), which focused on users who do understand joins and curating federated data sources. Occasionally, computer recommendations will trigger humans to do data analysis.

Innovation 144

Innovation Visualization User Experience Documentation 144

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. April 2018), which focused on users who do understand joins and curating federated data sources. Occasionally, computer recommendations will trigger humans to do data analysis.

Innovation 98

Innovation Visualization User Experience Documentation 98