Dataversity

JUNE 24, 2022

Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI.

Data Modelling 130

Data Modelling Data Warehouse Data Architecture Planning 130

Dataversity

MAY 31, 2024

In the contemporary business environment, the integration of data modeling and business structure is not only advantageous but crucial. This dynamic pair of documents serves as the foundation for strategic decision-making, providing organizations with a distinct pathway toward success.

Business Architecture 130

Business Architecture Data Modelling Documentation Data Architecture 130

Dataversity

OCTOBER 4, 2021

And we have short delivery cycles, sprints, and a lot of peers to share data models with. The post Quick, Easy, and Flexible Data Model Diagrams appeared first on DATAVERSITY. Many of us have a lot to do. In search of something lightweight, which is quick and easy, and may be produced (or consumed) by other programs?

Data Modelling 130

Data Modelling Data Architecture 130

Dataversity

MAY 16, 2022

As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. Companies use data analysis to clean, transform, and model their sets of data, whereas they […].

Data Modelling 130

Data Modelling 130

Dataversity

FEBRUARY 14, 2024

This requires a strategic approach, in which CxOs should define business objectives, prioritize data quality, leverage technology, build a data-driven culture, collaborate with […] The post Facing a Big Data Blank Canvas: How CxOs Can Avoid Getting Lost in Data Modeling Concepts appeared first on DATAVERSITY.

Big Data 147

Big Data Data Modelling Data Quality 147

Dataversity

FEBRUARY 4, 2022

But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […].

Data Modelling 130

Data Modelling Government Data Quality Data Governance 130

Dataversity

JULY 26, 2021

aka Data Modeling What?) Sometimes the obvious is not that … obvious. Many people know that I am on the graph-y side of the house. But explaining a simple matter like […]. The post What’s in a Name? appeared first on DATAVERSITY.

Data Modelling 130

Data Modelling 130

Simplilearn

JULY 16, 2022

Power Pivot is an Excel add-in that is used to perform powerful data analysis and create sophisticated data models. It can handle large volumes of data from several sources and all of this within a single Excel file. In this article, you will learn the following topics. What Is a Power Pivot? Read More.

Data Modelling 246

Data Modelling 246

Smart Data Collective

DECEMBER 19, 2021

Likewise, Python is a popular name in the data preprocessing world because of its ability to process the functionalities in different ways. In this article, we will discuss how Python runs data preprocessing with its exhaustive machine learning libraries and influences business decision-making.

Data Mining 347

Data Mining Banking Data Modelling Artificial Intelligence 347

Modern Analyst

JANUARY 9, 2022

Many BAs struggle to produce ‘normalized’, function-independent data models (or don’t produce them at all). Very few business stakeholders can appreciate such models as “… a picture worth a thousand words.”

Data Modelling 86

Data Modelling 86

Agile Connection

JANUARY 10, 2023

Agile data modeling involves a collaborative, iterative, and incremental approach to data modeling. In this article, we discuss how MySQL Document Store could be used for agile data modeling.

Data Modelling 73

Data Modelling Documentation Agile 73

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

The Data Administration Newsletter

MAY 18, 2021

Three different types of data models exist, each of which plays a distinct role in data modeling. They help an organization’s efforts in organizing, understanding, and making productive use of enterprise data resources.

Data Modelling 75

Data Modelling Data Management 75

InfoQ Articles

MARCH 12, 2021

How can GraphQL help with data modelling in the Enterprise? This online guide aims to answer pertinent questions for software architects and tech leaders, such as: Why would you use GraphQL? Why should you pay attention to GraphQL now? By Daniel Bryant.

Data Modelling 120

Data Modelling 120

BA Times

JANUARY 21, 2021

I have always been a data fanatic. It started when I was a programmer analyst and learned to love such arcane data structures as ISAM (a relic), VSAM (simple, but efficient), and later DB2 (powerful and flexible). My recent database exposure has been MySQL for websites, but only as a BA.

Data Modelling 153

Data Modelling 153

Smart Data Collective

NOVEMBER 24, 2021

In this article, we’ll take a closer look at why companies should seek new approaches to data analytics. Based on this assumption, specialists relied on false predictive data models that could only reflect a simplified picture of the possible future.

Data Analytics 332

Data Analytics Data Analytics Real-time Data Business Intelligence 332

Smart Data Collective

NOVEMBER 18, 2020

Therefore, machine learning is of great importance for almost any field, but above all, it will work well where there is Data Science. Data Mining Techniques and Data Visualization. Data Mining is an important research process. Data Science vs Data Mining: Concluding Thoughts.

Data Mining 360

Data Mining Big Data Artificial Intelligence Data Warehouse 360

The Data Administration Newsletter

JUNE 15, 2021

Data Governance describes the practices and processes organizations use to manage the access, use, quality and security of an organizations data assets. The data-driven business era has seen a rapid rise in the value of organization’s data resources.

Data Governance 105

Data Governance Government Data Modelling 105

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

E-Commerce 267

E-Commerce Cloud Computing Big Data Data Modelling 267

InfoQ Articles

JUNE 20, 2022

Specifically, records, sealed classes, and pattern matching work together to enable easier data-oriented programming in Java. Project Amber has brought a number of new features to Java in recent years. While each of these features are self-contained, they are also designed to work together. By Brian Goetz.

Data Modelling 142

Data Modelling 142

Smart Data Collective

NOVEMBER 24, 2019

Mark van Rijmenam, the founder of DataFlaq is one of the world’s leading experts on the intersection between big data and interpersonal communication. He discussed this topic in detail in one of his articles. There are a number of ways that big data is changing the nature of these relationships.

Big Data 202

Big Data Predictive Analytics Data Modelling Planning 202

The Data Administration Newsletter

SEPTEMBER 14, 2021

In this article, I describe a method of modelling data so that it meets business requirements. Central to this method is that modelling not only the required data, but also the subset of the real world that concerns the enterprise.

Data Modelling 52

Data Modelling Data Quality Data Management 52

The Data Administration Newsletter

NOVEMBER 1, 2022

Many software developers distrust data architecture practices such as data modeling. They associate these practices with rigid and bureaucratic processes causing significant upfront planning and delays.

Data Modelling 64

Data Modelling Data Architecture Planning Data Management 64

Analysts Corner

OCTOBER 30, 2024

This section explores four main challenges: data quality, interpretability, generalizability, and ethical considerations, and discusses strategies for addressing each issue. Download end-to-end articles with codes 1. Models built on pre-crisis data may become inaccurate, as historical relationships between features and outcomes change.

Data Quality 130

Data Quality Retail Finance Data Modelling 130

Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? Features: interactive tables, graphs, dashboards data publishing access to a broad data range custom analytic applications data storytelling web and mobile. SAP Lumira.

Business Intelligence 336

Business Intelligence Business Intelligence Supply Chain Visualization 336

Dataversity

JUNE 19, 2023

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.

Monitoring 130

Monitoring Data Modelling Data Quality Data Governance 130

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

Data Modelling 52

Data Modelling Data Warehouse Banking Real-time Data 52

The Data Administration Newsletter

JULY 6, 2021

Larry Burns’ latest book, Data Model Storytelling, is all about maximizing the value of data modeling and keeping data models (and data modelers) relevant. Larry Burns is an employee for a large US manufacturer.

Data Modelling 52

Data Modelling Master Data Management Data Management Agile 52

Simplilearn

DECEMBER 10, 2020

Power Pivot is an Excel add-in that is used to perform powerful data analysis and create sophisticated data models. It can handle large volumes of data from several sources and all of this within a single Excel file. In this article, you will learn the following topics. What is a Power Pivot? Read More.

Data Modelling 130

Data Modelling 130

The Data Administration Newsletter

JUNE 20, 2023

These days, there is much conversation about the necessity of the data model. The data model has been around for several decades now and can be classified as an artifact of an earlier day and age. But is the data model really out of date? And exactly why do we need a data model, anyway? […]

Data Modelling 52

Data Modelling Master Data Management Data Governance Data Management 52

The BAWorld

SEPTEMBER 27, 2024

And therefore, to figure all this out, data analysts typically use a process known as data modeling. It forms the crucial foundation for turning raw data into actionable insights. Data modeling designs optimal data structures and relationships for storage, access, integrity, and analytics.

Data Modelling 40

Data Modelling IBM Maintenance IBM Support IBM cost 40

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.

Data Warehouse 235

Data Warehouse Data Quality Data Analytics Data Analytics 235

InfoQ Articles

MARCH 3, 2022

In this article, authors discuss the data lineage as a critical component of data pipeline root cause and impact analysis workflow and how automating lineage creation and abstracting metadata to field-level helps with the root cause analysis efforts. By Mei Tao, Xuanzi Han, Helena Muñoz.

Data Modelling 97

Data Modelling Data Management 97

Passionate BA

JUNE 9, 2024

Next, I will explore business intelligence in roles such as data analyst and BI analyst. You can discover the importance of strong business acumen, data modeling, and ETL skills. I also cover business process management jobs, including Process Modeler, Process Analyst, and Process Architect.

Business Analysis 130

Business Analysis Business Analysis Business Architecture Process Modelling 130

The Data Administration Newsletter

FEBRUARY 1, 2022

The COVID-19 pandemic has shown that data-driven decisions have influence over all our lives over the last two years. But decisions made without proper data foundations, such as well constructed and updated data models, can lead to potentially disastrous results.

Data Modelling 52

Data Modelling Government Data Management 52

The Data Administration Newsletter

FEBRUARY 1, 2022

The COVID-19 pandemic has shown that data-driven decisions have influence over all our lives over the last two years. But decisions made without proper data foundations, such as well constructed and updated data models, can lead to potentially disastrous results.

Data Modelling 52

Data Modelling Government Data Management 52

Analysts Corner

FEBRUARY 12, 2023

The use of language models in Artificial Intelligence can leverage the productivity of Business Analysis. link] In this article, I demonstrate how it is possible to use Chat GPT as an assistant (or helper) in executing business analysis tasks based on a case study that deals with developing an application by a startup.

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147