Sisense

OCTOBER 21, 2020

As a member of the data team, your role is complex and multifaceted, but one important way you support your colleagues across the company is by building and maintaining data models. Picking a direction for your data model. Understand how your users use data today; articulate their problems.

Data Modelling 71

Data Modelling Embedded Analytics Design Thinking Big Data 71

Smart Data Collective

MAY 29, 2023

Typically, this role will connect with other positions so teamwork and presentation skills would be great things to look for. Data Engineer These people specialize in programming. Data modeling will result in how, in part, a business will set standards.

Big Data 210

Big Data Healthcare Data Modelling Data Analytics 210

Dataversity

DECEMBER 9, 2020

In an industry as competitive as eCommerce retail, the ability to turn data into actionable insights presents the opportunity to make business decisions that drive more revenue and control costs. The post The Three Techniques for Improving Analytics ROI in the Cloud appeared first on DATAVERSITY.

Logistics 239

Logistics Retail Data Modelling Data Architecture 239

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

E-Commerce 266

E-Commerce Cloud Computing Big Data Data Modelling 266

Timo Elliott

DECEMBER 9, 2024

Tushir Parekh, Data Analytics Manager at Harrods, presenting at UKISUG Connect 2024 in Birmingham ICC The Starting Point: A Fragmented Data Landscape Parekh set the stage by describing the state of analytics at Harrods before their transformation began in mid-2021. A lift-and-shift approach doesnt work, Parekh warned.

Data Analytics 130

Data Analytics Data Analytics Government Vision 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

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

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

Data Modelling 52

Data Modelling Data Warehouse Banking Real-time Data 52

Analysts Corner

OCTOBER 30, 2024

While machine learning (ML) offers transformative potential for economics and business, applying it effectively in these fields presents unique challenges. Economic and business data are often complex, interdependent, and prone to fluctuations, making it difficult for models to maintain accuracy and relevance over time.

Data Quality 130

Data Quality Retail Finance Data Modelling 130

Smart Data Collective

MAY 29, 2023

Understanding Bias in AI Translation Bias in AI translation refers to the distortion or favoritism present in the output results of machine translation systems. This bias can emerge due to multiple factors, such as the training data, algorithmic design, and human influence.

Artificial Intelligence 180

Artificial Intelligence Documentation Data Modelling Monitoring 180

Domo

MARCH 25, 2014

As business requirements began to come forth by the department heads and data models with tons of confusing acronyms began to fly around the room, an IT developer started to diagram the reporting machinations on a large whiteboard that was said would satisfy the business needs.

Data Modelling 52

Data Modelling Data Visualization Visualization Business Intelligence 52

Astera

MARCH 20, 2023

As data warehousing technologies continue to grow in demand , creat ing effective data models has become increasingly important. However, creating an OLTP data model presents various challenges. Firstly, OLTP systems carry large volumes of transactional data every day. We suggest the latter!

Data Modelling 52

Data Modelling Data Warehouse Visualization Business Intelligence 52

Astera

MARCH 20, 2023

As data warehousing technologies continue to grow in demand , creat ing effective data models has become increasingly important. However, creating an OLTP data model presents various challenges. Firstly, OLTP systems carry large volumes of transactional data every day. We suggest the latter!

Data Modelling 52

Data Modelling Data Warehouse Visualization Business Intelligence 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

ElegantJ BI

AUGUST 6, 2020

Today’s business intelligence must also include Mobile BI for use on the road and out of the office, and social business intelligence flexibility that allows users to share data, engender data popularity, rank data analytics and re-purpose and reuse creative data models. What is business intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

AUGUST 6, 2020

Today’s business intelligence must also include Mobile BI for use on the road and out of the office, and social business intelligence flexibility that allows users to share data, engender data popularity, rank data analytics and re-purpose and reuse creative data models. What is business intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

ElegantJ BI

AUGUST 6, 2020

Today’s business intelligence must also include Mobile BI for use on the road and out of the office, and social business intelligence flexibility that allows users to share data, engender data popularity, rank data analytics and re-purpose and reuse creative data models. What is business intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Analytics Data Analytics 130

Tableau

APRIL 20, 2022

Session: From Data to Dashboard: Key Features for Analytical Success. Presenter: Darin Bergeson . Class is in session for Tableau 101: Get the introduction you need to Tableau’s most powerful analytical capabilities, from the Tableau Data Model to the new Workbook Optimizer capabilities. Theme: All things data .

Chief Data Officer 120

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 120

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

MARCH 30, 2021

According to Mckinsey Global Institute , data-driven organizations are not only 23 times more likely to acquire customers but also six times as likely to retain customers and 19 times more likely to be profitable! . Big data leaves no space for the “box-ticking” approach. Souce: [link]. Apply product improvement.

Big Data 234

Big Data Retail Data Modelling Planning 234

Smart Data Collective

AUGUST 12, 2022

Organizations that need servers for their databases or cloud computing can’t just go out and buy the first option that presents itself, though. Refurbished servers may not offer the same bells and whistles as their new counterparts, but they usually still offer similar capabilities – at a fraction of the cost.

Cloud Computing 204

Cloud Computing Data Modelling Innovation 204

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

ElegantJ BI

JANUARY 3, 2019

These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Modelling 130

Tableau

OCTOBER 7, 2024

This technology sprawl often creates data silos and presents challenges to ensuring that organizations can effectively enforce data governance while still providing trusted, real-time insights to the business. Tableau Pulse: Tableau Pulse metrics can be directly connected to dbt models and metrics.

Data Quality 137

Data Quality Government Vision Data Governance 137

Tableau

APRIL 20, 2022

Session: From Data to Dashboard: Key Features for Analytical Success. Presenter: Darin Bergeson . Class is in session for Tableau 101: Get the introduction you need to Tableau’s most powerful analytical capabilities, from the Tableau Data Model to the new Workbook Optimizer capabilities. Theme: All things data .

Chief Data Officer 98

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 98

ElegantJ BI

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

ElegantJ BI

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

ElegantJ BI

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. A BI tool is crucial for business users to monitor and present data.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

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. Sometimes data spans multiple base tables in different, unrelated contexts.

Retail 74

Retail Data Modelling Visualization Finance 74

Passionate BA

SEPTEMBER 2, 2023

Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs. By addressing these common pitfalls, the article provides valuable guidance for domain and data modeling. Why is this? Is it possible that sometimes we don’t make enough of an impact?

Business Analysis 130

Business Analysis Business Analysis Backlog Management Documentation 130

Sisense

JULY 8, 2020

However you’ve been weathering the storm, you’ve got data, you’ve got talented people who can use it, and you’ve got big decisions to make. This article covers the hurdles present when attempting to implement analytics and BI in a large company as well as lessons larger companies can learn from smaller ones.

Enterprise Innovation 107

Enterprise Innovation Innovation Data Modelling Healthcare 107

Sisense

JANUARY 6, 2021

As you might imagine, white-label dashboards are UIs designed to facilitate user interaction with the analytics outcomes generated from data, also distributed via the white-labeled reports. The dashboard will contain all the controls, settings, and preferences users need to extract and present the insights from data.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Sisense

APRIL 15, 2021

It’s the present, too, but you already know that. Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. Analytics is the future.

Artificial Intelligence 98

Artificial Intelligence Data Modelling Cloud Computing Data Discovery 98

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