BizAcuity

APRIL 1, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

ElegantJ BI

AUGUST 6, 2020

The evolution of BI solutions has enabled business users to gather and analyze business intelligence at the individual and team level so Modern Business Intelligence is no longer an activity that is limited to strategic initiatives, data scientists or IT. What is business intelligence? Contact Us now.

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

AUGUST 6, 2020

The evolution of BI solutions has enabled business users to gather and analyze business intelligence at the individual and team level so Modern Business Intelligence is no longer an activity that is limited to strategic initiatives, data scientists or IT. What is business intelligence? Contact Us now.

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

AUGUST 6, 2020

The evolution of BI solutions has enabled business users to gather and analyze business intelligence at the individual and team level so Modern Business Intelligence is no longer an activity that is limited to strategic initiatives, data scientists or IT. What is business intelligence? Contact Us now.

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

BizAcuity

JANUARY 18, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

ElegantJ BI

DECEMBER 19, 2021

These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users. But, the Citizen Data Scientist doesn’t have to do it alone.

Data Visualization 130

Data Visualization Data Modelling Monitoring Visualization 130

ElegantJ BI

DECEMBER 19, 2021

These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users. But, the Citizen Data Scientist doesn’t have to do it alone.

Data Visualization 130

Data Visualization Data Modelling Monitoring Visualization 130

ElegantJ BI

DECEMBER 19, 2021

These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users. But, the Citizen Data Scientist doesn’t have to do it alone.

Data Visualization 130

Data Visualization Data Modelling Monitoring Visualization 130

Astera

FEBRUARY 28, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

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

Analysts Corner

FEBRUARY 12, 2023

AI : The BABOK Guide defines various tasks and concepts related to business analysis, including requirements elicitation and analysis, process and data modeling, and stakeholder communication and management. This could help save time and effort in process and data modeling. Some suggestions include: 1. ID (primary key).

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

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

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

Tableau

OCTOBER 8, 2021

Tableau and Google Cloud are partnering to help modernize your data and analytics infrastructure and unlock your data’s full value. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems. With Tableau, any user can visually explore that data in real time.

Government 133

Government Digital Transformation Healthcare Retail 133

Tableau

OCTOBER 14, 2021

Culture change can be hard, but with a flexible data governance framework, platform, and tools to power digital transformation, you can accelerate business growth. Let’s start with how governance helps employees use data responsibly. . Bring your governance and data management practices out of the past.

Government 91

Government Data Management Data Governance Cybersecurity 91

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

OCTOBER 8, 2021

Tableau and Google Cloud are partnering to help modernize your data and analytics infrastructure and unlock your data’s full value. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems. With Tableau, any user can visually explore that data in real time.

Government 98

Government Digital Transformation Healthcare Retail 98

Sisense

AUGUST 21, 2020

One result is that systems become much more intuitive: Users can take advantage of the “Simply Ask” feature to check “what are my sales next two months” and receive chatbot messages with projected visualizations and suggestions for further exploration routes. My take: The world is wider than the traditional BI tabular data.

Supply Chain 112

Supply Chain Data Modelling Decision Modelling Visualization 112

Monday

MAY 28, 2021

Sadly, many business owners never take the time to actually map and model their processes in a visual way, leading to a lack of understanding of their own business. We’ll discuss why business process modeling is essential for modern organizations, as well as how to implement it, starting today. Get started with monday.com.

Process Modelling 103

Process Modelling UML Visualization Project Management 103

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. Like other solutions, NiFi has a visual UI to design ETL flows.

Data Warehouse 52

Data Warehouse Visualization Data Management Data Quality 52

Analysts Corner

JULY 28, 2023

Visually representation of AI mimics the human world but does not understand it. Prompt: “Computer on the desk, data diagrams on the screen” — Source: Bing AI image generator. Companies also call it an IT data analyst or Business Intelligence analyst. AGI’s capability is equal to human intelligence. AGI hasn’t been achieved yet.

Artificial Intelligence 130

Artificial Intelligence Business Analysis Business Analysis Predictive Analytics 130

Sisense

JUNE 26, 2019

We have often talked about the single-stack approach to business analytics, and with the complexity of enterprise data, this approach makes even more sense. . You want to make sure you have one place to bring in all your data and do your data modeling. You can use it for so many different ways of modeling your data.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

Tableau

OCTOBER 14, 2021

Culture change can be hard, but with a flexible data governance framework, platform, and tools to power digital transformation, you can accelerate business growth. Let’s start with how governance helps employees use data responsibly. . Bring your governance and data management practices out of the past.

Government 70

Government Data Management Data Governance Cybersecurity 70

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

JUNE 14, 2023

It can even extract data from images using OCR technology. Centerprise : It is user-friendly software that smoothly integrates data from various sources. You can design, execute, and monitor data integration workflows with this tool. DWBuilder : It simplifies the process of building and maintaining data warehouses.

Procurement 52

Procurement Data Security Retail Monitoring 52

Astera

JANUARY 25, 2024

Guide to the Workflow of Reverse ETL There are four main aspects to reverse ETL: Data Source: It refers to the origin of data, like a website or a mobile app. Data Models: These define the specific sets of data that need to be moved. On-going Monitoring The final step is to keep an eye on the process.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Marutitech

NOVEMBER 13, 2020

Low-code platforms typically use drag-and-drop features, automatic code generation, business process maps, and other visual tools to deliver an agile development environment without requiring the time or complexity of traditional coding methods. Visual based design. Pros: Offers a compelling visual app designer.

Visualization 98

Visualization User Experience Documentation Agile 98

Astera

AUGUST 22, 2023

This new addition allows you to evaluate and compare models, fine-tune parameters, and ensure accuracy and relevance—all within a unified environment. Astera Data Analytics offers built-in performance monitoring, reporting, and experimentation capabilities, providing transparency and rapid prototyping.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Astera

NOVEMBER 13, 2023

With built-in connectivity to a wide array of data sources, it is a versatile solution for various use cases. You can easily design, test, develop, manage, publish, and monitor your APIs and integrations using the no-code, intuitive user interface that comes equipped with advanced data integration capabilities.

Documentation 52

Documentation Visualization Data Modelling Project Management 52

Astera

JUNE 1, 2023

Python can connect to SQL Server to query and manipulate this data. Leverage the power of Python for data analysis. Python has many libraries for data analysis, machine learning, and visualization. By connecting Python to SQL Server, you can analyze data stored in the database. Build data-driven web applications.

Monitoring 52

Monitoring Documentation Data Modelling Visualization 52

Astera

JUNE 1, 2023

Python can connect to SQL Server to query and manipulate this data. Leverage the power of Python for data analysis. Python has many libraries for data analysis, machine learning, and visualization. By connecting Python to SQL Server, you can analyze data stored in the database. Build data-driven web applications.

Monitoring 52

Monitoring Documentation Data Modelling Visualization 52

Sisense

FEBRUARY 23, 2021

After writing out a properly scoped, well-defined set of goals and a way to collect the needed data, Measuremen begins its research period. That could entail surveys, studies, and app-based workplace sampling or involve a limited period when Measuremen observers personally monitor workplaces and record data.

Visualization 52

Visualization Data Modelling Monitoring Planning 52

Data Pine

SEPTEMBER 29, 2022

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business. 2 – Data profiling. What Are Data Quality Metrics Examples?

Data Quality 96

Data Quality Monitoring Big Data Government 96