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

Simplilearn

JUNE 6, 2022

With 15M+ downloads, MongoDB is amongst the most popular cross-platform, open-source, free NoSQL databases, empowering users to query, manipulate and obtain valuable insights from their data. Its flexible document data model allows 3–5x faster iteration. Read More.

Documentation 130

Documentation Data Modelling 130

Ntara

AUGUST 2, 2022

A product data model helps streamline a new or updated ecommerce website so that every product has exactly the right information in exactly the right place. PIM is a software that allows businesses to standardize all product data and related digital assets. A product data model analogy.

Data Modelling 52

Data Modelling Documentation Digital Planning 52

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

Astera

APRIL 9, 2023

AI-based document processing is transforming the finance industry by unlocking the potential of unstructured data and improving data analysis, compliance, risk management, and decision-making. This technology can analyze vast amounts of data in real time, enabling financial institutions to make timely decisions.

Documentation 52

Documentation Finance Banking Data Modelling 52

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

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 182

Artificial Intelligence Documentation Data Modelling Monitoring 182

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

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

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 Modelling Data Quality Data Architecture 116

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

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

Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Connect tables.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Sisense

AUGUST 21, 2020

It provides a framework to help data and analytics leaders design, model, align, execute, monitor, and tune decision models and processes in the context of business outcomes and behavior.”. 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

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

Tableau

OCTOBER 8, 2021

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. 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 137

Government Digital Transformation Healthcare Retail 137

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

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

AUGUST 6, 2020

Take Grammarly as an example: This popular program checks the grammar, tone, and style of documents. Getting this AI properly trained required a huge learning dataset with countless documents that were tagged according to specific criteria. Accurately prepared data is the base of AI. The perfect fit.

Product Management 95

Product Management Product Management Customer Experience Customer Experience 95

Sisense

JULY 14, 2019

Everyone from data engineers and IT professionals to business analysts and users need to understand where threats can come from, how infiltrators seek to gain access, and that any bit of data, no matter how innocuous or unimportant-seeming, can turn out to be damaging in the wrong hands. . No system is absolutely impenetrable.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Sisense

AUGUST 28, 2019

As markets consolidate and acquisitions are made, incorporating multiple data architectures shouldn’t necessitate the consolidation of new data sources and data models with a single cloud vendor. Look for a Cloud-Agnostic Product Roadmap. Conclusion.

Cloud Computing 73

Cloud Computing Data Architecture Data Modelling Documentation 73

Marutitech

NOVEMBER 13, 2020

The tool will enable you to document uploads with fair intuitive reporting and a robust dashboard feature. Its simple design and robust documentation make it a great platform. Offers declarative data modeling. Offer various functionalities such as deployment settings, app preview, deployment logs, and data models.

Visualization 98

Visualization User Experience Documentation Agile 98

Sisense

JANUARY 6, 2021

Now that you know what you want everything to look like, define and connect your data sources. Once the data is flowing to your reports, you can tweak your presentations until they look and operate exactly how you want. Have a look at Sisense documentation to see how easy it is to plug in and create reports.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Data modeling.

Data Governance 101

Data Governance Government Data Quality Change Management 101

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

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Data modeling.

Data Governance 97

Data Governance Government Data Quality Change Management 97

The BAWorld

AUGUST 8, 2024

It has more than 300 data connectors. Key components of Power BI Power BI Desktop: User can create reports, connect different data sources and do data modelling. Below are the features of Power BI Get Data – Data Connections : Connects to various data sources like Excel, SQL Server, CSV, and cloud-based platforms.

Data Visualization 52

Data Visualization Visualization Data Modelling Data Analytics 52

Tableau

SEPTEMBER 11, 2024

And with Tableau’s centralized permissions and data models, the app streamlines your data access and management by eliminating the need to replicate permission requests. Please refer to our detailed GitHub documentation for step-by-step guidance on setting up the app for Tableau Server. September 23, 2024

Documentation 69

Documentation Data Modelling Monitoring Product Management 69

Analysts Corner

JULY 28, 2023

You are familiar with the following keywords: SQL queries, spreadsheet “magic”, data lake, process mining, Tableau, Power BI, or any other business intelligence system. Companies also call it an IT data analyst or Business Intelligence analyst. You do descriptive, diagnostic, and predictive analysis.

Artificial Intelligence 130

Artificial Intelligence Business Analysis Business Analysis Predictive Analytics 130

Sisense

SEPTEMBER 12, 2019

Their BI strategy took into consideration their sensitive data, huge distribution channels, and the need for better governance to reach one version of the truth. Building on this strategy, Nasdaq provides its customers with dashboards, but it does not provide them with the ability to work directly on the data models.

Government 81

Government Documentation Business Intelligence Business Intelligence 81

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 Project Management Data Modelling 52

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. Documentation generation: Automatically generate clear and comprehensive API documentation for developers integrating with API.

Documentation 52

Documentation Monitoring Visualization Government 52

Monday

MAY 28, 2021

Sure, process models use diagrams and charts to better explain the process in question, but diagrams are just one of the many elements involved. 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.

Process Modelling 103

Process Modelling UML Visualization Project Management 103

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

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