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

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

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

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 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 93

Government Data Management Data Governance Cybersecurity 93

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

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 71

Government Data Management Data Governance Cybersecurity 71

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

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

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

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

The BAWorld

NOVEMBER 5, 2023

MuSoft's Business analyst has conducted the elicitation and has modelled the processes and has created data model for the change. A section of the data model is shown here. 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

MindsMapped

SEPTEMBER 10, 2020

Knowledge Areas Percentage Weight (%) Business Analysis Planning and Monitoring 14% Elicitation and Collaboration 12% Requirements Life Cycle Management 15% Strategy Analysis 15% Requirements Analysis and Design Definition 30% Solution Evaluation 14% IIBA CBAP® Exam Blueprint. Redraw any visual diagrams or notes from memory.

Requirements Life Cycle Management 53

Requirements Life Cycle Management Business Analysis Business Analysis Design Definition 53

Marutitech

MARCH 10, 2022

It’s a good idea to regularly examine and monitor your product and test it with the new data set to ensure it hasn’t lost its importance. Even though implementing predictive analytics solutions enables managers to make informed decisions, there is no perfect predictive model. Avoid making the same mistake.

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

Sisense

MAY 27, 2019

To extend our analogy, if the data scientist is the diamond cutter, then they pass the material on to the last expert in the chain – the jeweler (business analyst) – to create something valuable for a non-expert audience. They enable their business colleagues to visualize findings, trends and patterns based on their analysis.

Skillset 75

Skillset Cloud Computing Big Data Visualization 75

MindsMapped

JANUARY 5, 2021

Business Analysis Planning and Monitoring. Business analysis work will need to be monitored and assessed throughout a project. This task covers managing and monitoring the ‘how’ of business analysis work, ensuring that commitments are being met and continuous learning and improvement opportunities are realised.

Business Analysis 94

Business Analysis Business Analysis Skillset Solution Evaluation 94

Marutitech

JANUARY 21, 2022

Lastly, perform the data visualization to identify significant trends and patterns of your data. Simply putting your data in the form of a bar or line chart will enable you better to picture the importance and interdependency of the data. Modeling data . Integrate ethics into everything.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

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

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

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Whizlabs

MARCH 14, 2021

What Microsoft Power BI does is that it will collect all the software services, apps and web that you desire and connect every piece of data with each other. The end product is a visual projection of insights that you might know and the ones you should know. Data modelling and visualizations. Working of Power BI.

Visualization 52

Visualization Cloud Computing Data Modelling Monitoring 52

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

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

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

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

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