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 137

Government Digital Transformation Healthcare Retail 137

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

Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Tableau

OCTOBER 7, 2024

Tableau is a leader in the analytics market, known for helping organizations see and understand their data, but we recognize that gaps still exist: while many of our joint customers already benefit from dbt and trust the metrics that result from these workflows, they are often disconnected and obscured from Tableau’s analytics layer.

Data Quality 137

Data Quality Government Vision Data Governance 137

Sisense

JULY 22, 2020

As access to and use of data has now expanded to business team members and others, it’s more important than ever that everyone can appreciate what happens to data as it goes through the BI and analytics process. Your definitive guide to data and analytics processes. Data modeling: Create relationships between data.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 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.

Data Modelling 112

Data Modelling Supply Chain Decision Modelling Visualization 112

Sisense

SEPTEMBER 3, 2020

One of the most common data job titles, data analysts use existing tools and algorithms to solve data-related problems (instead of inventing new ones like data scientists might do. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Insight Software

JANUARY 20, 2021

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

Watermark Learning

OCTOBER 3, 2023

Model Techniques from BABOK Guide v3 From IIBA’sBABOK Guide v3 a business process model is defined as: “…a visual representation of the sequential flow and control logic of a set of related activities or actions.” Models are a means to visualize the steps of a complex or multi-stage process.

Process Modelling 86

Process Modelling Business Analysis Business Analysis Visualization 86

Passionate BA

SEPTEMBER 2, 2023

Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs. By addressing these common pitfalls, the article provides valuable guidance for domain and data modeling.

Business Analysis 130

Business Analysis Business Analysis Backlog Management Documentation 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 98

Government Digital Transformation Healthcare Retail 98

Data Pine

MARCH 25, 2022

It seems clear that there isn’t one standard “correct” definition of the differences between the two terms. The most straightforward and useful difference between business intelligence and data analytics boils down to two factors: What direction in time are we facing; the past or the future? Definition: description vs prediction.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

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

The BAWorld

NOVEMBER 20, 2024

Here’s a brief comparison: Tableau: For data visualization specialists, Tableau is more preferred. It features rich visualizations with highly interactive dashboards. Advanced Reporting: Path layer for Azure Map Visual. Visual calculations within reports. Small multiples for new card visual.

Supply Chain 52

Supply Chain Pharmaceutical Healthcare Real-time Data 52

Sisense

APRIL 10, 2020

R is a tool built by statisticians mainly for mathematics, statistics, research, and data analysis. It’s quite popular for its visualizations: charts, graphs, pictures, and various plots. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data.

Visualization 98

Visualization Artificial Intelligence Data Mining Logistics 98

Tableau

APRIL 18, 2022

Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation.

Data Quality 101

Data Quality Government Artificial Intelligence Data Warehouse 101

Tableau

APRIL 18, 2022

Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Sisense

JULY 24, 2019

NLQ serves those users who are in a rush, or who lack the skills or permissions to model their data using visualization tools or code editors. In this mode, the user avoids putting too much effort into the definition of a specific search, and instead, relies on a random exploration path with the assisted exploration of NLQ.

Skillset 89

Skillset Big Data Data Modelling Data Analytics 89

Sisense

AUGUST 4, 2019

This will make it easier to visualize the different issues as we come to them. First of all, the definition of database. As you know, this data is organized into rows, columns and tables, and it’s also indexed so that you can find what you need quickly and easily. Understanding a M2M Relationship and Its Consequences.

Visualization 75

Visualization User Experience Data Modelling Big Data 75

Data Pine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? 2 – Data profiling. This is definitely not in line with reality.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Sisense

JUNE 30, 2020

In the traditional sense, it’s the ability to take individual visualizations , individual KPIs, and embed them directly in your workflow. So, as you’re using your favorite tool, you just get a little bit of data, right at the point where that data is going to be the most helpful. PeggySue Werthessen: Everywhere.

Embedded Analytics 59

Embedded Analytics Visualization Data Modelling Data Warehouse 59

Astera

JUNE 12, 2024

Data Governance Data lineage, data provenance , and data governance are all crucial concepts in data management, but they address different aspects of handling data. Data Provenance captures metadata describing the origin and history of data, including inputs, entities, systems, and processes involved.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

NOVEMBER 13, 2023

Astera’s API builder is a blank canvas where you can visually construct request processing pipelines. Between the request and response, you have the flexibility to apply a wide range of transformations, data access restrictions, validations, and data manipulation actions. Apiary Apiary.io

Documentation 52

Documentation Visualization Project Management Data Modelling 52

Insight Software

JANUARY 15, 2021

There are definite steps you can take to increase customer value, win loyalty, and improve your chances of retaining those customers for the long haul. The required investment to develop reports on Power BI and Azure Data Lakes is considerable, and there are substantial liabilities to consider before making a costly long-term commitment.

Data Warehouse 72

Data Warehouse Supply Chain Finance Data Visualization 72

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

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 . Provide deeper context .

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

Astera

NOVEMBER 14, 2023

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. And that, in essence, is pretty much the truth.

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Sisense

AUGUST 11, 2019

Seen this way, BI is still the “descriptive” part of data analysis, but BA means BI, plus the predictive element, plus all the extra bits and pieces that make up the way you handle, interpret and visualize data. You Say Potato, I Say… And lastly, there are those who say that the distinction has now become meaningless.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Astera

JULY 8, 2024

These tools typically offer features for: Designing and building APIs: Define API endpoints, data models, request/response structures, and authentication mechanisms. This solution helps businesses by integrating applications, systems, and data. It helps you define granular permissions to ensure only authorized access.

Documentation 52

Documentation Monitoring Visualization Government 52

Whizlabs

JUNE 2, 2021

Before you can go ahead with the preparatory moves, you need to understand the basic definition of Microsoft Power Platform App Maker and its certification. Individuals must gain knowledge on: Data modeling basics. 4 Modules- Create a Model-Driven application in Power Apps. No cards needed to try the test!

User Experience 52

User Experience Process Analysis Government Data Modelling 52

Astera

MARCH 28, 2024

Additionally, data catalogs include features such as data lineage tracking and governance capabilities to ensure data quality and compliance. On the other hand, a data dictionary typically provides technical metadata and is commonly used as a reference for data modeling and database design.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Bridging the Gap

OCTOBER 12, 2022

I’ll be sharing specific techniques for business process analysis , use cases , and data modeling , as well as success stories from ACBAs. Now, the first slide I want to bring, just to kind of revisit these actual definitions and make sure we’re clear. Okay, so third element of COTS requirements is data modeling.

Skillset 52

Skillset Business Analysis Business Analysis Data Modelling 52

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

Bridging the Gap

MARCH 5, 2024

The Business-Level , or how the business work flows operationally, often completed by analyzing the business process (a textual model) and creating business process flow diagrams (a visual model). The definition of business analysis allows for many different approaches to the role.

Business Analysis 52

Business Analysis Business Analysis Project Management Portfolio Management 52