Tableau

JULY 25, 2024

Spencer Czapiewski July 25, 2024 - 5:54pm Thomas Nhan Director, Product Management, Tableau Lari McEdward Technical Writer, Tableau Expand your data modeling and analysis with Multi-fact Relationships, available with Tableau 2024.2. You may have heard of Multi-fact Relationships informally referred to as “shared dimensions.”

Retail 76

Retail Data Modelling Visualization Finance 76

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. AI for Business. Enterprise Artificial Intelligence. Artificial Intelligence Analytics.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

BizAcuity

APRIL 1, 2023

The Data Warehouse can scale up to 2048 nodes, thus offering data storage ability up to 94 petabytes. However, the major challenges with Teradata are: Huge data warehouse cost Not being an agile cloud data warehouse Teradata is on the higher end of the pricing spectrum, and so capacity management is its biggest challenge.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

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. Not being an agile cloud data warehouse.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 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. A BA needs to combine and maintain the mapping throughout an entire project timeline.

Documentation 130

Documentation Data Modelling 130

Marutitech

MARCH 10, 2022

Over or underfitting the predictive analytics solution is a common mistake that any data scientist makes while developing their model. Overfitting your data refers to creating a complicated data model that fits your limited set of data. False-positive and false-negatives.

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

Ntara

OCTOBER 4, 2023

Most PIM software applications include basic DAM capabilities , providing a reference for accessing or publishing a product’s images and videos. However, as you start to rely more on digital assets to complement your product data, you may require additional capabilities and governance. Let’s dive deeper into how this works.

Government 96

Government Digital Data Modelling Data Management 96

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

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Applying the learning to different cases.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

APRIL 23, 2024

These metrics evaluate data in four key dimensions: Intrinsic: Focuses on the data’s credibility, objectivity, and reputation. Contextual: Emphasizes the relevance, timeliness, and completeness of data. Representational: Focuses on the formatting and presentation of the data.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

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

Argon Digital

JUNE 7, 2023

Understanding Legacy Systems Legacy systems refer to older, established software or hardware systems that have been in use by an organization for a significant period of time. As a legacy system, Documentum presents specific challenges when it comes to integrating it with modern software solutions.

Data Modelling 52

Data Modelling Planning Data Security 52

Actian

MAY 23, 2019

What are data silos? Data silo is a term that refers to independent pockets of data within an organization. Often aligned to either business functions or IT systems, data silos are where only a limited group of people have access or knowledge of the data resources available.

Data Warehouse 40

Data Warehouse Data Modelling Agile Planning 40

Whizlabs

APRIL 26, 2021

It produces visual insights and reports that are shareable with others for reference or other specific purposes. Check out Whizlabs Free Test and Practice Tests of Analyzing Data with Microsoft Power BI (DA-100) Certification today! Practical Perks of Using Power BI.

Visualization 52

Visualization Data Security Data Modelling Business Intelligence 52

Sisense

AUGUST 11, 2019

So, BI deals with historical data leading right up to the present, and what you do with that information is up to you. Or, as Dataversity sums it up: “Business Analytics refers to the movement of tailoring analytics and BI specifically for non-technical and business users.”

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Astera

APRIL 7, 2023

Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities. Given the critical nature of medical data, there are several factors to be considered for its management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Insight Software

JANUARY 15, 2021

In this respect, we often hear references to “switching costs” and “stickiness.” The company has offered up “bring your own database” (BYOD) as a workaround and has presented data entities as a long-term approach to data access for reporting.

Data Warehouse 72

Data Warehouse Supply Chain Finance Data Visualization 72

Astera

JANUARY 23, 2023

Billion by 2026 , showing the crucial role of health data management in the industry. Source: Precedence Research The increased volumes of information, varying in type and velocity, present immense potential to derive value from this information and aid the digital transformation of the healthcare industry.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Capiro

AUGUST 2, 2023

Such expectations and demands are referred to as ‘non functional’ requirements ‘ There are many elements to the total customer experience. More about the elements of a requirement Data The scenario can identify the data needed for the function. Process models and data models will incorporate business rules.

UML 52

UML Banking Project Management Process Modelling 52

Sisense

SEPTEMBER 23, 2019

We then use this identifier to check if this resource is present in the list of elements received by a GET request. Then we use a PATCH endpoint to update new data, and we again invoke a GET request to validate the new data. Before any implementation test can begin, it is important to make sure that the contract is correct.

Documentation 89

Documentation Planning Data Modelling 89

Argon Digital

MARCH 20, 2023

Careful planning and attention to detail can help to make Composer a valuable tool for predictable, repeatable installation into Documentum repositories, despite some of the gaps and pitfalls still present. Refer to the Anatomy of a Composer Project section for a full discussion of the project directory structure.

Documentation 52

Documentation Data Modelling Planning 52

The BAWorld

MARCH 15, 2024

Probability and statistics Mathematical science, the gathering, analysis, interpretation and presentation of data is referred to as statistics. It is something that sounds like the kind of thing a data analyst does. You can employ the concepts of probability and statistics to: Detect patterns in data.

Data Visualization 52

Data Visualization Visualization Artificial Intelligence Banking 52

Sisense

MARCH 14, 2021

For starters, the rise of the Internet of Things (IoT) has created immense volumes of new data to be analyzed. IoT sensors on factory floors are constantly streaming data into cloud warehouses and other storage locations. One solution with immense potential is ”edge computing.”

Big Data 52

Big Data Data Analytics Data Analytics Supply Chain 52

Astera

DECEMBER 14, 2022

Moreover, the intricacies of fetching these surrogate keys would vary based on the SCD type used for each field and the row identifier present in the dimension table. This is a common data warehousing conundrum — late arriving dimensions and early arriving facts. to the fields in fact and dimension tables.

Data Warehouse 52

Data Warehouse Data Modelling Business Intelligence Business Intelligence 52

Cprime

DECEMBER 21, 2022

Pros of this model: no server management, consumption-based pricing, simplified monitoring of integration jobs. Data ingestion – allows collection and management of the expanding variety of data sources, formats and protocols. This model refers to files, streaming and databases. Data modernization.

Data Management 52

Data Management Real-time Data Data Governance Vision 52

Marutitech

JANUARY 21, 2022

Identifying the correct data to process the underlying problem is essential to predict the suitable working model of your data science project. . Apart from reducing the data set, train your model to differentiate and classify your data. Interpreting data.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Data Pine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. BI Project Manager.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

JANUARY 25, 2024

Reverse ETL combined with data warehouse helps data analysts save time allowing them to focus on more complex tasks such as making sure their data is high quality, keeping it secure and private, and identifying the most important metrics to track. Data Models: These define the specific sets of data that need to be moved.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Whizlabs

DECEMBER 23, 2020

One of the foremost factors in any Apache Cassandra tutorial would refer to the definition of Apache Cassandra. Another potential highlight of Apache Cassandra is evident in the form of a Dynamo-style replication model without a single point of failure. On the contrary, users can avail a high-performance ‘column family’ data model.

Big Data 52

Big Data Data Analytics Data Analytics Data Modelling 52

MindsMapped

SEPTEMBER 10, 2020

At present, the post-exam breakdown does not include marks scored, only indicating whether the student has scored below average/average/ above average required in the respective areas. Question 2: What marks do I need in order to pass? Read & Write: Students under this category thrive by learning through taking notes and reading.

Requirements Life Cycle Management 53

Requirements Life Cycle Management Business Analysis Business Analysis Design Definition 53

Tableau

DECEMBER 1, 2021

Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. I was a member of Chris’ dissertation committee, having done a Stanford PhD on automatic design of graphical presentations that Chris had used in his dissertation. Release v1.0 IPO in 2013. Sept 2019).

Innovation 145

Innovation Visualization User Experience Documentation 145

Tableau

DECEMBER 1, 2021

Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. I was a member of Chris’ dissertation committee, having done a Stanford PhD on automatic design of graphical presentations that Chris had used in his dissertation. Release v1.0 IPO in 2013. Sept 2019).

Innovation 98

Innovation Visualization User Experience Documentation 98

Tableau

APRIL 12, 2022

When navigating through results, content is brought into one unified view—showing all content types—with each presented in the format they’re best viewed. . Easily swap root tables in your data model. Data models can become difficult to manage and understand as you add additional tables.

Data Modelling 98

Data Modelling Monitoring Innovation Visualization 98

Tableau

APRIL 12, 2022

When navigating through results, content is brought into one unified view—showing all content types—with each presented in the format they’re best viewed. . Easily swap root tables in your data model. Data models can become difficult to manage and understand as you add additional tables.

Data Modelling 98

Data Modelling Monitoring Innovation Visualization 98

The BAWorld

FEBRUARY 7, 2025

A scenario is presented, followed by multiple questions that test the candidate’s ability to analyze and apply Power BI concepts. Pay special attention to Power Query, DAX, data modeling, and visualization techniques. A) SUM() B) CALCULATE() C) RELATED() D) ADDCOLUMNS() Answer: D) ADDCOLUMNS() 4.

Visualization 40

Visualization Data Modelling Government Retail 40

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. These are PDFs or PowerPoint presentations. Next: Business Data Modelling 9.

Business Analysis 52

Business Analysis Business Analysis UML Documentation 52

Data Pine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. The above graph/chart was presented as a point of emphasis. 3) Data fishing.

Digital 145

Digital Data Visualization Healthcare Data Mining 145