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

Dataversity

MARCH 26, 2021

Are you planning on strategically using data to improve the efficiencies of your value chains? This can happen with artificial intelligence models that can make a journey interesting for […]. The post Why Enterprise Data Planning Is Crucial for Faster Outcomes appeared first on DATAVERSITY.

Planning 130

Planning Artificial Intelligence Process Modelling Data Modelling 130

Timo Elliott

MAY 22, 2023

Picking up the theme, Juergen said that integration enables completely new possibilities such as synchronized planning, which is a closed loop between planning and execution. Our extended planning and analytics solutions span across financial planning, workforce planning, and demand planning,” Juergen explained.

Supply Chain 278

Supply Chain Innovation Data Modelling Planning 278

Watermark Learning

MARCH 29, 2023

How to prepare for a Business Analysis exam – Application Tips Create a Study Plan with the BABOK Guide Resources to create your Study Plan What to expect from each IIBA Business Analysis (BA) certification exam Summary What is the professional organization for Business Analysts seeking certification?

Planning 52

Planning Business Analysis Business Analysis Cybersecurity 52

Smart Data Collective

MARCH 14, 2022

A wealth of tools and solutions that bring big data to up-and-coming companies are available, so let’s go over the most impactful and practical applications these can achieve. Delivery Route Planning for Teams Of Drivers. Final Thoughts.

Big Data 304

Big Data Logistics Monitoring Data Modelling 304

Smart Data Collective

JANUARY 26, 2021

Big Data Analytics News has hailed big data as the future of the translation industry. You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets. It’s important to build translation considerations into your big data strategy.

Data Architecture 303

Data Architecture Big Data Documentation Monitoring 303

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. ID (primary key).

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

Smart Data Collective

APRIL 20, 2023

Big data models make it easier to find the right location and make other important decisions. The business is going to require a site for employees, customers, and suppliers. Needing the right location can mean that you are currently operating from a building that hasn’t been designed keeping modern energy efficiency in mind.

Big Data 333

Big Data Real-time Data Data Modelling Planning 333

ElegantJ BI

AUGUST 5, 2020

A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.

Data Modelling 130

Data Modelling Data Analytics Data Analytics Monitoring 130

ElegantJ BI

AUGUST 5, 2020

A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.

Data Modelling 130

Data Modelling Data Analytics Data Analytics Monitoring 130

ElegantJ BI

AUGUST 5, 2020

A Citizen Data Scientist will use his or her domain knowledge and primary skills and experience to gain insight into the data and hypothesize, prototype, analyze and forecast using data to improve accuracy of decisions and to share data and data models with other users.

Data Modelling 130

Data Modelling Data Analytics Data Analytics Monitoring 130

BizAcuity

APRIL 1, 2023

The Data Warehouse can scale up to 2048 nodes, thus offering data storage ability up to 94 petabytes. One of the Teradata data warehouse’s features is its hybrid storage, where frequently used hot data is stored on very high-performance solid state drives while less frequently used cold data is placed on traditional hard disk drives.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

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. As a result, most enterprise executives had to cut their plans and initiatives. Before the pandemic, enterprise managers lived in the illusion that all future events could be predicted.

Data Analytics 320

Data Analytics Data Analytics Real-time Data Business Intelligence 320

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

BizAcuity

SEPTEMBER 22, 2022

The Data Warehouse can scale up to 2048 nodes, thus offering data storage ability up to 94 petabytes. The Data Model is designed to be fault-tolerant and be scalable with redundant network connectivity to ensure reliability for critical use case. Data disk space allocation. Determination of usable data space.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

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

ElegantJ BI

APRIL 1, 2019

If you are taking on an advanced analytics initiative and you want to leverage data democratization to cascade data analytics and data literacy throughout the organization, you will need a data modeling solution that takes the guesswork out of the process.

Predictive Analytics 130

Predictive Analytics Data Modelling Data Analytics Data Analytics 130

ElegantJ BI

APRIL 1, 2019

If you are taking on an advanced analytics initiative and you want to leverage data democratization to cascade data analytics and data literacy throughout the organization, you will need a data modeling solution that takes the guesswork out of the process.

Predictive Analytics 130

Predictive Analytics Data Modelling Data Analytics Data Analytics 130

ElegantJ BI

APRIL 1, 2019

If you are taking on an advanced analytics initiative and you want to leverage data democratization to cascade data analytics and data literacy throughout the organization, you will need a data modeling solution that takes the guesswork out of the process.

Predictive Analytics 130

Predictive Analytics Data Modelling Data Analytics Data Analytics 130

ElegantJ BI

JANUARY 3, 2020

While predictive analytics techniques and predictive modeling does include complicated algorithms. But, Predictive Analytics and data modeling need not be restricted to data scientists. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions.

Predictive Analytics 130

Predictive Analytics Data Modelling Innovation Data Analytics 130

ElegantJ BI

JANUARY 3, 2020

While predictive analytics techniques and predictive modeling does include complicated algorithms. But, Predictive Analytics and data modeling need not be restricted to data scientists. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions.

Predictive Analytics 130

Predictive Analytics Data Modelling Innovation Data Analytics 130

ElegantJ BI

JANUARY 3, 2020

While predictive analytics techniques and predictive modeling does include complicated algorithms. But, Predictive Analytics and data modeling need not be restricted to data scientists. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions.

Predictive Analytics 130

Predictive Analytics Data Modelling Innovation Data Analytics 130

Cprime

SEPTEMBER 7, 2023

Whether you are considering or planning a migration, understanding the intricacies of the process is crucial. Challenges of a CMDB migration Migration of CMDB metadata is a complex and intricate task, requiring careful planning and meticulous execution. That aside, there’s still been a significant push towards cloud-based solutions.

User Experience 52

User Experience Data Modelling Procurement Planning 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

FEBRUARY 28, 2023

This blog will walk you through how to add Slowly Changing Dimension (SCDs) to your dimensional model and verify and deploy that model with just a few clicks using Astera DW Builder. In this model , one fact table (Invoice Lines) is joined by multiple dimensions (stock items, customer details, suppliers, and cities).

Data Warehouse 52

Data Warehouse Data Modelling Planning 52

Smart Data Collective

NOVEMBER 24, 2019

In the TEM model, you will have complete control over the team members and bringing any sudden change to your existing project will not be an issue. On the contrary, the DDT model works more like an independent entity and they focus on the overall project scope. So, which big data model is the best?

Big Data 186

Big Data Predictive Analytics Data Modelling Planning 186

Smart Data Collective

SEPTEMBER 4, 2020

Not only this, but they can reduce your costs by ensuring that you can harness your data by yourself, without the need to employ a data analyst. The best data analysis software can help you to collect and organize your data, to construct potential data models, and can also help you to write up reports.

Big Data 219

Big Data Data Analytics Data Analytics Data Modelling 219

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

Insight Software

AUGUST 4, 2023

Providing valuable insights from data that moves the business forward in achieving its strategic objectives is one of the most valuable skills any FP&A or Operational Planning (OP) professional can possess. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.

Data Analytics 52

Data Analytics Data Analytics Finance Visualization 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. Root Cause Analysis: Unearthing the Source Tackling symptoms won’t solve the root problem.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Astera

JANUARY 3, 2023

Dimensional modeling is among the most preferred design approaches for building analytics-friendly data warehouses. First introduced in 1996, Kimball ’ s dimension al data models have now bec o me cornerstones of modern data warehouse design and development. Dimensional Data Model. But don’t worry!

Data Warehouse 52

Data Warehouse Data Modelling Business Intelligence Business Intelligence 52

Sisense

APRIL 21, 2019

With a comprehensive, BI-focused data strategy, you and your stakeholders will know what your ideal data model should look like once all your data is moved over. BI-Focus and Your Data Infrastructure. What does all this have to do with my data model ?” you might be wondering. you might be wondering.

Data Modelling 72

Data Modelling Logistics Planning 72

Bridging the Gap

DECEMBER 12, 2023

Define an action plan to expand your business analyst skill set. >> Consider the following specific goals for your performance plan: Use a new elicitation technique to discover or validate the requirements. Experiment with a new visual model to clarify a complex concept.

Business Analysis 98

Business Analysis Business Analysis Documentation Process Analysis 98

Timo Elliott

NOVEMBER 30, 2022

Using these solutions together helps provide better, more useable data to the business while minimizing complexity and wasteful duplication of data. And the number one way that organizations turn analytics into action today is through planning processes. Conclusion.

Innovation 246

Innovation Vision Data Warehouse Logistics 246

Insight Software

FEBRUARY 8, 2021

If your business is running Microsoft Dynamics 365 Business Central (D365 BC) , or if you are planning to do so in the near future, then you are probably hearing a lot about Power BI as Microsoft’s preferred reporting and analytics platform for the company’s business applications.

Data Modelling 98

Data Modelling Planning Visualization 98