Dataversity

MAY 1, 2023

Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge of these three efforts.

Data Management 244

Data Management Documentation Data Modelling Data Quality 244

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.

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

Smart Data Collective

OCTOBER 19, 2022

What Are Their Ranges of Data Models? MongoDB has a wider range of datatypes than DynamoDB, even though both databases can store binary data. DynamoDB is limited to 400KB for documents and MongoDB can support up to 16MB file sizes. It is compatible with a laptop to mainframe and on-premise through a hybrid cloud.

Big Data 282

Big Data Data Management Documentation Data Modelling 282

Passionate BA

SEPTEMBER 2, 2023

It also delves into risk management, quality assurance, and the critical role of project documentation. Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs. 14.09, 8 PM CEST. Essential Requirements Practices.

Business Analysis 130

Business Analysis Business Analysis Backlog Management Documentation 130

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Astera

NOVEMBER 13, 2023

Enhanced Documentation: Good API documentation is essential for other API developers. API design tools often include features that autogenerate documentation based on the design, making it easier for other developers to understand and use the API. A tool should be intuitive and easy to use, even for those new to API design.

Documentation 52

Documentation Visualization Data Modelling Project Management 52

BizAcuity

APRIL 1, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. OCR is widely used to digitize all kinds of physical documentation.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

BizAcuity

JANUARY 18, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. OCR is widely used to digitize all kinds of physical documentation. Predictive Analytics.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

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

Astera

APRIL 10, 2023

In the ever-evolving insurance landscape, organizations must process and analyze vast volumes of data from multiple sources to gain a competitive edge, optimize operations, and improve customer experiences. This data comes in various forms, from policy documents to claim forms and regulatory filings.

Documentation 52

Documentation Customer Experience Customer Experience Data Modelling 52

Smart Data Collective

MAY 29, 2023

Enabling external scrutiny requires developers’ accurate documentation of the training data, model architecture, and evaluation methodologies. Ensuring Accountability and Transparency To effectively address bias, developers of AI translation systems must ensure accountability and transparency.

Artificial Intelligence 174

Artificial Intelligence Documentation Data Modelling Monitoring 174

Ntara

AUGUST 25, 2022

Have you purchased parts that you were unsure of because the site didn’t explicitly state the associated product models? Yet manufacturers often fail to properly document the relationships between their parts and pieces—and that causes big problems. This data should be captured early in the process—ideally during product data modeling.

Retail 98

Retail Documentation Data Modelling 98

Bridging the Gap

DECEMBER 12, 2023

Consider a new type of requirements document to address a currently unmet need, such as a business process model, scope statement, or use case. Goals in this area could include updating a template , documenting an as is process , or creating a tip sheet. Earn a business analyst certification.

Business Analysis 98

Business Analysis Business Analysis Documentation Process Analysis 98

The BAWorld

MARCH 13, 2024

Use Cases & Scenarios: Mapping User Journeys Delineating how users interact with systems, use cases and scenarios document specific activities, inputs, outputs, and anticipated results. Data Modeling: Building the Information Backbone Data fuels decision-making.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

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

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

Astera

MAY 25, 2023

How Astera Data Warehouse Builder Uses Amazon Redshift  Astera Data Warehouse Builder takes full advantage of the power and scalability of Amazon Redshift, allowing organizations to access and analyze data in ways that are not usually possible with traditional data warehouses.

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

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

Astera

AUGUST 22, 2023

update is the cutting-edge AI capabilities, enabling data extraction at unprecedented speeds. With just a few clicks, you can effortlessly handle unstructured documents. This new AI feature accelerates and simplifies document processing. Specify the data layout and the fields you want to extract.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Astera

APRIL 10, 2023

In the ever-evolving insurance landscape, organizations must process and analyze vast volumes of data from multiple sources to gain a competitive edge, optimize operations, and improve customer experiences. This data comes in various forms, from policy documents to claim forms and regulatory filings.

Documentation 40

Documentation Customer Experience Customer Experience Data Modelling 40

The BAWorld

NOVEMBER 5, 2023

What could be the reasons: A) Selection of incorrect elicitation techniques B) Lack of reviews C) Lack of existing documentation A and C All the three B and C A and B In the Requirement Elicitation phase, just before interacting with a highly influential Stakeholder, the Business Analyst has a dilemma on the place of interview.

Banking 52

Banking Documentation Business Analysis Business Analysis 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

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

Bridging the Gap

MARCH 20, 2024

Did the business analyst choose the most appropriate requirements documentation for the type of project and methodology in place? How up-to-date is the current state documentation? Did the business analyst have a business analysis process and create a business analysis plan? How close was the actual work to their intended plan?

Business Analysis 52

Business Analysis Business Analysis Documentation Planning 52

Bridging the Gap

MARCH 16, 2023

They would also use a variety of data modeling techniques to define how information is stored and flows through all the various software systems. The business analyst is typically responsible for leading the entire business analysis process for preparing requirements documentation , and managing change.

Documentation 101

Documentation Business Analysis Business Analysis Process Analysis 101

Astera

OCTOBER 7, 2022

Unstructured data is qualitative and more categorical in nature. It does not contain a predetermined data model or schema but has an internal structure. Using modern AI-powered data extraction tools, it can be converted to an easily manageable format for analytics. are available in an unstructured format. Conclusion.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Astera

MARCH 7, 2024

Primary purpose is to ensure that the data being tested is moving as it’s supposed to. Aims to ensure that all data follows the data model’s predefined rules. Applying Transformations Next, you must ensure that data is adequately transformed to match the destination data warehouse’s schema.

Data Warehouse 52

Data Warehouse Data Quality Documentation 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

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 Healthcare Big Data Data Governance 52

The Data Administration Newsletter

AUGUST 3, 2021

Database standards are common practices and procedures that are documented and […]. Rigidly adhering to a standard, any standard, without being reasonable and using your ability to think through changing situations and circumstances is itself a bad standard.

Documentation 116

Documentation Data Quality Data Modelling Data Architecture 116

Bridging the Gap

NOVEMBER 17, 2023

At this level, the analytical techniques include: A Business Process Flow diagrams which is a visual model showing the end-to-end flow of the steps a business user (or group of business users) take to accomplished a desired outcome within the organization.

Business Analysis 52

Business Analysis Business Analysis Data Modelling Visualization 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

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

Domo

JANUARY 30, 2024

It can be used to upload larger Domo data sets (over 10 million rows) to Tableau workbooks. Domo ODBC Data Driver fetches data from Domo over HTTPS. The query execution time depends on the size of the data and the data speed of your network. Find more documentation here about installation.

Visualization 52

Visualization Documentation Data Governance Data Visualization 52

Astera

APRIL 24, 2024

Pros: User-friendly interface for data preparation and analysis Wide range of data sources and connectors Flexible and customizable reporting and visualization options Scalable for large datasets Offers a variety of pre-built templates and tools for data analysis Cons: Some users have reported that Alteryx’s customer support is lacking.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52