Analysts Corner

OCTOBER 10, 2023

That results in the conversion layer requiring data mapping as a BA artifact. Let’s talk about mappings We already discussed the massive challenge of reinventing the legacy Data Models, so let’s assume you have already done it. They should be documented and considered by test and automation tests.

Documentation 130

Documentation Data Modelling 130

Tableau

DECEMBER 1, 2021

This allows you to explore features spanning more than 40 Tableau releases, including links to release documentation. . Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. Visual encoding is key to explaining ML models to humans. Release v1.0

Innovation 145

Innovation Visualization User Experience Documentation 145

Sisense

AUGUST 28, 2019

Simply put, the term cloud-agnostic refers to the ability to move applications or parts of applications from one cloud platform to another. What does it mean for your data? But they come at the cost of true consumer flexibility — and your company’s ability to confidently invest in a cloud-agnostic data strategy. Conclusion.

Cloud Computing 73

Cloud Computing Data Architecture Data Modelling Documentation 73

Watermark Learning

OCTOBER 3, 2023

The International Institute of Business Analysis (IIBA®) created and maintains the BABOK Guide v3 , an indispensable reference for any business analyst. Data Modeling-Describes the data important to the business.

Process Modelling 86

Process Modelling Business Analysis Business Analysis Visualization 86

The BAWorld

NOVEMBER 22, 2021

Data analytics is the science of examining raw data to determine valuable insights and draw conclusions for creating better business outcomes. Data Cleaning. Data Modeling. Conceptual Data Model (CDM) : Independent of any solution or technology, represents how the business perceives its information. .

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. Data governance is the foundation of EDM and is directly related to all other subsystems. Its main purpose is to establish an enterprise data management strategy.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Marutitech

MARCH 10, 2022

To make your job easier, create a document that specifies your project’s inputs and deliverables, and then double-check your resource and format criteria related to the description of your predictive analytics project. Overfitting your data refers to creating a complicated data model that fits your limited set of data.

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

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? Why Do You Need Data Quality Management? 2 – Data profiling.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Tableau

DECEMBER 1, 2021

This allows you to explore features spanning more than 40 Tableau releases, including links to release documentation. . Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. Visual encoding is key to explaining ML models to humans. Release v1.0

Innovation 98

Innovation Visualization User Experience Documentation 98

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Sisense

AUGUST 6, 2020

Although it’s designed as a lightweight JavaScript-object-like format, JSON documents can get quite large, especially if they contain deeply nested objects and arrays. There’s a real need to be able to run general processing queries on JSON documents for filtering, shaping, and transforming JSON data. Power to the User.

Documentation 52

Documentation Embedded Analytics Data Modelling 52

Sisense

SEPTEMBER 23, 2019

to ensure that the implementation is working as specified according to the requirements specification (which later on becomes our API documentation). For public APIs: a manual “Product”-level test going through the entire developer journey from documentation, login, authentication, code examples, etc. Validate state: 1.

Documentation 89

Documentation Planning Data Modelling 89

Astera

JUNE 3, 2024

The right database for your organization will be the one that caters to its specific requirements, such as unstructured data management , accommodating large data volumes, fast data retrieval or better data relationship mapping. These databases are suitable for managing semi-structured or unstructured data.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

APRIL 23, 2024

However, certain metrics are commonly adopted across many industries for their fundamental importance in assessing data health. Here are some frequently used data quality metrics examples: Completeness Ratio It refers to the extent to which a data set contains all the required or expected data elements.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Watermark Learning

JUNE 15, 2021

A variety of models can be used to show scope, including context diagrams, features in/out lists, use case diagrams, high-level data flow diagrams, and business processes. Data models. This becomes the iterative nature of elicitation and modeling. Asking questions, then, enables us to model the requirements.

Process Modelling 52

Process Modelling Project Management Data Modelling Visualization 52

Astera

JUNE 12, 2024

This complete guide examines data lineage and its significance for teams. It also covers the difference between data lineage and other important data governance terms and common data lineage techniques. What is Data Lineage? CRM system, advertising platform), data transformations (e.g., dashboard, report).

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

JUNE 1, 2023

A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Examples are Redis and DynamoDB.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

JUNE 1, 2023

A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Examples are Redis and DynamoDB.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

JANUARY 23, 2023

Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives. What is Health Data Management ?

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

MAY 21, 2024

They’re the blueprint that defines how a database stores and organizes data, its components’ relationships, and its response to queries. Database schemas are vital for the data modeling process. Well-designed database schemas help you maintain data integrity and improve your database’s effectiveness.

Documentation 52

Documentation Data Modelling Visualization Data Requirement 52

Argon Digital

MARCH 20, 2023

An artifact might be a custom object type, a document, an ACL, a user, a group, or any number of other Documentum objects. Always examine the XML for any artifacts that have been dragged and dropped into a Composer project, to be certain that locations and other references are intact and correct.

Documentation 52

Documentation Data Modelling Planning 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

MAY 25, 2022

With Laura being able to outline that eight step business analyst process that you’re referring to, it really adds a lot of clarity. But then being able to be like, okay, let me reference the frame. That document is screen-shared and every time I screenshare it they’re like, “Wow, Stephanie, this is so well organized.

Business Analysis 52

Business Analysis Business Analysis Documentation Data Modelling 52

Astera

OCTOBER 27, 2023

It includes key elements and their interactions, ensuring efficient data processing, storage, integration, and retrieval. It includes key elements and their interactions, ensuring efficient data processing, storage, integration, and retrieval. Dimensional Modeling or Data Vault Modeling? We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Bridging the Gap

NOVEMBER 16, 2022

Our core teachings are around process analysis, like in process analysis , use cases , data modeling , which goes to that glossary of terms that you were talking about, and how to manage a whole project or really an initiative. So much of what we create that could be holistic kind of gets lost in the documentation for our project.

Business Architecture 52

Business Architecture Digital Transformation Portfolio Management Vision 52

Insight Software

MAY 1, 2023

that gathers data from many sources. Modern Data Sources Painlessly connect with modern data such as streaming, search, big data, NoSQL, cloud, document-based sources. Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more. Read carefully.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data Migration Data migration refers to the process of transferring data from one location or format to another.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

SEPTEMBER 1, 2023

Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers.

Predictive Analytics 52

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics 52

The BAWorld

OCTOBER 25, 2024

Requirements Analysis and Modelling – Requirements analysis and modelling pertaining to analyzing the requirements gathered from stakeholders and specifying & modeling requirements in order to represent them in the most appropriate manner. The PDF documents are arranged into 3 chapters and are useful.

Business Analysis 52

Business Analysis Business Analysis UML Documentation 52