Smart Data Collective

MAY 16, 2022

Data is becoming more important to modern organizations than ever before. One poll found that 74% of companies feel they are still struggling to use data effectively. One of the problems is that they don’t manage their data well. How Companies Can Manage their Data Better.

Data Management 321

Data Management Data Mining Data Warehouse Data Modelling 321

Capiro

APRIL 12, 2019

This video introduces the basics of data modelling. Data modelling is fundamental to creating a business level data architecture. The business view is of course highly simplified; we are trying to explain data modelling, not the business of insurance. Introduction. Duration: 8 minutes. Policy type.

Data Modelling 40

Data Modelling UML Data Architecture Business Analysis 40

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 eliciting and analyzing requirements. Some suggestions include: 1.

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

Bridging the Gap

MARCH 30, 2023

Here’s the thing about technical skills in BA jobs – you’ve heard me say it before and you’re going to hear me say it again – you see them as job requirements a lot of times in business analyst roles. And a lot of times those requirements are extremely misleading. Let’s talk about these three models. You could do that.

Data Modelling 96

Data Modelling Data Requirement Business Analysis Business Analysis 96

Smart Data Collective

MAY 29, 2023

This bias can emerge due to multiple factors, such as the training data, algorithmic design, and human influence. Data Bias: Sources and Implications Various sources, including historical texts, biased human translations, or imbalanced data representation, can originate limited training data.

Artificial Intelligence 170

Artificial Intelligence Documentation Data Modelling Monitoring 170

Smart Data Collective

APRIL 20, 2023

There are many ways businesses are using big data to make better decisions and operate more efficiently Organizations can use big data to optimize expenses and reduce costs. A modern data infrastructure can help get more value from data by accelerating decision making, simplifying operations, and powering analytics.

Big Data 330

Big Data Real-time Data Data Modelling Planning 330

Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. Data Vault Architecture  A data vault follows a three-layered architecture containing the raw, business, and information vault.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Smart Data Collective

OCTOBER 19, 2022

A growing number of companies are discovering the benefits of investing in big data technology. Companies around the world spent over $160 billion on big data technology last year and that figure is projected to grow 11% a year for the foreseeable future. Unfortunately, big data technology is not without its challenges.

Big Data 280

Big Data Data Management Documentation Data Modelling 280

Smart Data Collective

NOVEMBER 22, 2021

Data analytics technology has touched on virtually every element of our lives. More companies are using big data to address some of their biggest concerns. Data analytics technology is helping more companies get the financing that they need for a variety of purposes. Big Data Can Show How Financing Can Help the Business Grow.

Finance 255

Finance Data Analytics Data Analytics Big Data 255

Smart Data Collective

MAY 29, 2023

The rate of growth at which world economies are growing and developing thanks to new technologies in information data and analysis means that companies are needing to prepare accordingly. As a result of the benefits of business analytics , the demand for Data analysts is growing quickly. Here are the differences, generally speaking.

Big Data 192

Big Data Healthcare Data Modelling Data Analytics 192

Smart Data Collective

NOVEMBER 24, 2021

Although teams had vast amounts of data and powerful analytic tools at their fingertips, the pandemic still caught most organizations off guard. One of the main reasons for such a disruption may be the obsolescence of many traditional data management models; that’s why they have failed to predict the crisis and its consequences.

Data Analytics 320

Data Analytics Data Analytics Real-time Data Business Intelligence 320

Astera

APRIL 23, 2024

No matter their size, all organizations rely heavily on the data they collect and manage. This data ranges from customer information to sales records, employee performance, and more. To do so, they need data quality metrics relevant to their specific needs. What is Data Quality? What are Data Quality Metrics?

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Smart Data Collective

APRIL 5, 2022

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. Data scientists can access remote computing power through sophisticated networks. IBM Watson Studio.

IBM Maintenance 305

IBM Maintenance IBM cost IBM Support Artificial Intelligence 305

Passionate BA

SEPTEMBER 2, 2023

The article highlights essential tips for effectively managing outsourced projects, emphasizing the importance of clear communication, well-defined requirements, and a collaborative mindset. Yulia emphasizes this distinction’s significance in streamlining project planning and requirements gathering and gives more details on each aspect.

Business Analysis 130

Business Analysis Business Analysis Backlog Management Documentation 130

Bridging the Gap

JUNE 8, 2023

It’s all about data these days and in this video, Laura Brandenburg explores the key differences between business intelligence and business analyst roles. If you are interested in enhancing your data modeling skills, download our free data modeling training!

Business Intelligence 52

Business Intelligence Business Intelligence Data Modelling Business Analysis 52

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 303

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 303

Timo Elliott

DECEMBER 14, 2022

SAP BTP brings together data and analytics, artificial intelligence, application development, automation, and integration in one, unified environment. You lose the roots: the metadata, the hierarchies, the security, the business context of the data. The analysts call this a data mesh or data fabric strategy.

Innovation 262

Innovation Artificial Intelligence Data Warehouse Government 262

Smart Data Collective

NOVEMBER 24, 2019

Big data is becoming more essential in the arena of employee collaboration. A growing number of teams are finding that big data can be very beneficial when it comes to forging stronger relationships between their participants. There are a number of ways that big data is changing the nature of these relationships.

Big Data 189

Big Data Predictive Analytics Data Modelling Planning 189

BizAcuity

APRIL 1, 2023

Introduction Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Astera

FEBRUARY 28, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

The BAWorld

MARCH 13, 2024

Data Modeling: Building the Information Backbone Data fuels decision-making. Data modeling defines the entities, properties, relationships, and overall structure of a database or information system. By prioritizing backlog items, teams can boost efficiency, reduce waste, and deliver maximum value to stakeholders.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Smart Data Collective

OCTOBER 5, 2020

As a venture grows, it becomes tedious to keep track of the analytical data of the enterprise which, in turn, forms a road-block to decision making. Employing an analytical system in a data-driven business can help it to discover useful trends, information, conclusions and elevated decision making.

Visualization 230

Visualization Business Intelligence Business Intelligence Data Modelling 230

Bridging the Gap

NOVEMBER 17, 2023

The Analysis Techniques are the models and templates we use as business analysts to analyze and think through the requirements. Requirements do not get created in a vacuum. Requirements Review Session – to validate the requirements that have been captured are clear and correct.

Business Analysis 52

Business Analysis Business Analysis Data Modelling Visualization 52

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Data scientists use algorithms for creating data models. Where to start?

E-Commerce 261

E-Commerce Cloud Computing Big Data Data Modelling 261

Smart Data Collective

APRIL 4, 2022

We have talked in the past about the importance of data visualization in business. However, many companies are struggling to figure out how to use data visualization effectively. One of the ways to accomplish this is with presentation templates that can use data modeling. Keep reading to learn more.

Data Visualization 275

Data Visualization Visualization Data Modelling Big Data 275

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 333

Business Intelligence Business Intelligence Big Data Visualization 333

BizAcuity

APRIL 1, 2023

Introduction Data fuels today’s business and Microsoft’s Power BI tool helps you make sense of that data. Power BI is a suite of business analytics tools to analyze data and share insights. With a Power BI Pro license, you can upload up to 10 GB of data to the Power BI Cloud.

Data Modelling 130

Data Modelling Data Requirement 130

BizAcuity

SEPTEMBER 22, 2022

Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. Not being an agile cloud data warehouse.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

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, It supersedes Data Vault 1.0,

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Bridging the Gap

OCTOBER 12, 2023

Today we’re talking about a system context diagram, which is one type of data flow diagram that captures the data flow at the most abstract level possible. It’s also called a data flow diagram level zero or a DFD Level Zero. It gives you a framework to keep your requirements analysis in scope.

Data Modelling 52

Data Modelling Visualization Business Analysis Business Analysis 52

Bridging the Gap

SEPTEMBER 7, 2023

Imagine you are ready to dive deep into a new project, but amidst the sea of information and tasks, you find yourself at a crossroads: What documents should you create to capture those crucial requirements? Which documents should you actually create to capture these crucial requirements? We’ll talk about that in a little bit.

Documentation 98

Documentation Business Analysis Business Analysis Data Requirement 98

Astera

JANUARY 11, 2023

The primary purpose of your data warehouse is to serve as a centralized repository for historical data that can be quickly queried for BI reporting and analysis. Data modeling — which defines the database schema — is the heart of your data warehouse . Learn more about designing Dimensional Data Models here. .

Data Warehouse 52

Data Warehouse Data Modelling 52

Astera

JANUARY 11, 2023

The primary purpose of your data warehouse is to serve as a centralized repository for historical data that can be quickly queried for BI reporting and analysis. Data modeling — which defines the database schema — is the heart of your data warehouse . Learn more about designing Dimensional Data Models here. .

Data Warehouse 52

Data Warehouse Data Modelling 52

ElegantJ BI

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Predictive Modeling to support business needs, forecast, and test theories.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

ElegantJ BI

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Predictive Modeling to support business needs, forecast, and test theories.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

ElegantJ BI

JUNE 10, 2022

According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Your senior execs and managers want to leverage data and information to gain a competitive advantage and succeed. Business Intelligence. Dashboards.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

Astera

AUGUST 21, 2023

Introduced in 1996 by Ralph Kimball, a star schema is a multi-dimensional data modeling technique. It is the simplest schema type businesses use in data warehousing. This simple, denormalized structure makes it very efficient for querying data. This simplifies and leads to faster data aggregation and reporting.

Data Warehouse 52

Data Warehouse Data Modelling Data Quality Visualization 52