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

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

Timo Elliott

NOVEMBER 30, 2022

Gartner says that data is a liability – after all, it costs you money to collect, and it has risks, the very definition of a liability. To turn it into an asset, you actually have to do something with the data, to change something in the way you do business. And that’s what often goes wrong.

Innovation 246

Innovation Vision Data Warehouse Logistics 246

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

The BAWorld

NOVEMBER 20, 2024

Responsibilities: Creating basic reports and dashboards, connecting to data sources, and assisting in data modeling. Conclusion If one is interested in data analytics, business intelligence, or even improving their current skill in a technology-driven marketplace then learning Power BI is definitely worth the shot.

Supply Chain 52

Supply Chain Pharmaceutical Healthcare Real-time Data 52

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 138

Data Quality Government Vision Data Governance 138

Tableau

AUGUST 29, 2024

Spencer Czapiewski August 29, 2024 - 9:52pm Kirk Munroe Chief Analytics Officer & Founding Partner at Paint with Data Kirk Munroe, Chief Analytics Officer and Founding Partner at Paint with Data and Tableau DataDev Ambassador, explains the value of using relationships in your Tableau data models. over 4 years ago!),

Data Modelling 96

Data Modelling Product Management Product Management 96

Analysts Corner

OCTOBER 10, 2023

This time, we discuss a more down-to-earth topic using a headless backend legacy system that performs calculations and data transformations as an example. Part 1: Definition, Reasons, Characteristics Replacing Legacy. That results in the conversion layer requiring data mapping as a BA artifact.

Documentation 130

Documentation Data Modelling 130

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

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

JANUARY 6, 2020

Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. In this blog, we share some ideas of how to best use data to manage sales pipelines and have access to the fundamental data models that enable this process.

Data Modelling 91

Data Modelling Data Warehouse Logistics Customer Experience 91

Sisense

SEPTEMBER 3, 2020

This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. ROI (return on investment) is also a key concern, as business analysts apply their data-related activities to finance, marketing, and risk management, for instance. See an example: Explore Dashboard.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Sisense

AUGUST 21, 2020

In a similar way, the forthcoming “Explanations” feature provides users with possible drivers of the movements in the data automatically, using knowledge graphs to go beyond the boundaries of their charts. How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis?

Data Modelling 112

Data Modelling Supply Chain Decision Modelling Visualization 112

Tableau

OCTOBER 8, 2021

With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

Government 138

Government Digital Transformation Retail Healthcare 138

Tableau

SEPTEMBER 23, 2021

No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to? Missing data definitions and formulas: People need to understand exactly what the data represents, in the context of the business, to use it effectively.

Data Governance 102

Data Governance Government Data Quality Change Management 102

Tableau

SEPTEMBER 23, 2021

No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to? Missing data definitions and formulas: People need to understand exactly what the data represents, in the context of the business, to use it effectively.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Sisense

JULY 6, 2020

EDM covers the entire organization’s data lifecycle: It designs and describes data pipelines for each enterprise data type: metadata, reference data, master data, transactional data, and reporting data.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Tableau

APRIL 18, 2022

Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Data preparation.

Data Quality 102

Data Quality Government Artificial Intelligence Data Warehouse 102

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

Tableau

APRIL 18, 2022

Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Data preparation.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

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

To support your work as a Business Analyst and for a certification exam, review these top modeling techniques: (Note to author – I added some definition around each one, so they knew what they were) Scope Modeling – visually describes what is in and out of scope of the focus area – e.g., solution, stakeholders, department, etc.

Process Modelling 86

Process Modelling Business Analysis Business Analysis Visualization 86

Sisense

JULY 24, 2019

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. For new vendors in the analytics market, one of the most obvious challenges is the absence of historical data.

Skillset 89

Skillset Big Data Data Modelling Data Analytics 89

Tableau

OCTOBER 8, 2021

With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

Government 98

Government Digital Transformation Retail Healthcare 98

Sisense

AUGUST 4, 2019

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. This will make it easier to visualize the different issues as we come to them. Understanding a M2M Relationship and Its Consequences.

Visualization 75

Visualization User Experience Data Modelling Big Data 75

Bridging the Gap

OCTOBER 26, 2023

Once you understand data mapping, you’ll be empowered to tackle data migration and system integration projects with confidence! For a little context, by the time that you are at this stage of the project, this is definitely not the first technique that you would be using most often.

Data Modelling 52

Data Modelling Vision Business Analysis Business Analysis 52

Capiro

AUGUST 20, 2021

What is a business data architecture? A business data architecture comprises definitions and models of an organisation’s concepts and data using the language of the business. Master your business data. It forms a picture of the business in terms of the data. Advantages of a business data architecture.

Data Architecture 52

Data Architecture UML Agile Data Modelling 52

The BAWorld

NOVEMBER 22, 2021

Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms. It confirms that data values, formats, and definitions are similar in all the data sources. Data Modeling. Conceptual Data Model. Logical Data Model. Consistency.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

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

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

Sisense

APRIL 24, 2019

Be sure the query has a definite and unique purpose. Make sure all involved parties are in the discussion of developing your query. When querying production databases, make sure the DBA team is included. Focusing on business outcomes. Taxing the production database for exploratory or duplicative reports is an unnecessary risk.

Data Warehouse 111

Data Warehouse Data Modelling 111

Capiro

FEBRUARY 10, 2021

Definition , in which the assets identified in bullet 1 are defined in business terms. The assets are modelled at the conceptual level. Processes are modelled as the business transforms and business events, outcomes, inputs and outputs. Note that data modelling is sometimes seen as a purely technical activity.

Business Architecture 52

Business Architecture Enterprise Architecture Vision Data Modelling 52

Astera

NOVEMBER 13, 2023

They facilitate testing different scenarios such as data creation, retrieval, update, and deletion. API Documentation: Postman can automatically generate API documentation based on OpenAPI definitions, which can be shared with developers and stakeholders for a better understanding. Apiary Apiary.io

Documentation 52

Documentation Visualization Project Management Data Modelling 52

Sisense

APRIL 10, 2020

All common and necessary data science tasks (data loading, data analysis, data exploration, data preprocessing, data featurization, data modeling, and predictive modeling) are available in both R programming and Python languages. Both languages are user-friendly and easy to implement.

Visualization 98

Visualization Artificial Intelligence Data Mining Logistics 98

Monday

MAY 28, 2021

To fully model a process, you must create a document including the following elements: Scope statement: a relevant description of the process name, as well as when the process starts and ends. Outcome: a definition of the desired outcome of the process. Description: a step-by-step walkthrough of the process description (i.e.,

Process Modelling 103

Process Modelling UML Visualization Project Management 103

Sisense

JUNE 30, 2020

Some Sisense clients take them white labeling to the next level and actually give their users the ability to build their own dashboards and even data models. You have data people already working with data and business users doing reporting, but integrating embedded analytics throws developers into the mix.

Embedded Analytics 59

Embedded Analytics Visualization Data Modelling Data Warehouse 59