BizAcuity

JULY 13, 2021

Artificial Intelligence impersonates human intelligence using various algorithms to collect data and improve performance with data compliance over some time. The proprietary data model for Gaming Industry makes it unique with more than 200+ variables for both reporting and model creation.

Data Warehouse 130

Data Warehouse Artificial Intelligence Data Analytics Data Analytics 130

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 221

Big Data Data Analytics Data Analytics Data Modelling 221

Tableau

OCTOBER 8, 2021

This helps all kinds of customers—from large retailers like Woolworths , to healthcare organizations like Health Data Compass —scale modern analytics with Tableau and Google Cloud. We keep innovating together to scale analytics to anyone across your organization. More to come from this innovative partnership.

Government 133

Government Digital Transformation Healthcare Retail 133

Cprime

SEPTEMBER 7, 2023

Many companies are pushing towards the cloud to reap the benefits of scalability, accessibility, cost-effectiveness, automation, and innovation. Investigating Existing Data Models: Understanding the current data structure, including how information is stored, categorized, and accessed, is paramount.

User Experience 52

User Experience Data Modelling Procurement Planning 52

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, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

NOVEMBER 1, 2023

Data Analysts and Technologists Data analysts and technology professionals within financial institutions benefit from data warehousing by automating repetitive tasks like data extraction and transformation. This automation allows them to focus on higher-value activities such as data analysis, modeling, and innovation.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Sisense

MARCH 30, 2021

Enhanced live model connection parameters. With enhanced live model connection parameters, you can now leverage one live data model for multiple customers who use the same schema structure in your data warehouse. Dive deeper into Custom Code here. Prepare for the power of personalized analytics in 2021!

Embedded Analytics 52

Embedded Analytics Data Warehouse Data Modelling Innovation 52

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. 14.09, 8 PM CEST. Essential Requirements Practices.

Business Analysis 130

Business Analysis Business Analysis Backlog Management Documentation 130

BizAcuity

APRIL 1, 2023

Steps to building a highly accurate predictive model for AML It is now easier than ever to deploy ML solutions thanks to the recent chain of innovations introduced by major industry players like AWS and Microsoft. This may include combining variables, creating new variables based on existing ones, and scaling the data.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

Sisense

JANUARY 6, 2021

Nasdaq Investor Relations uses Sisense to infuse interactive reporting into its core offering, enabling customers to dissect and manipulate their data in innovative and impressive ways via white-label reports and dashboards. Use case snapshots: White-label reports and dashboards in action today. Horsepower under the hood.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

BizAcuity

JANUARY 18, 2023

Steps to building a highly accurate predictive model for AML. It is now easier than ever to deploy ML solutions thanks to the recent chain of innovations introduced by major industry players like AWS and Microsoft. This may include combining variables, creating new variables based on existing ones, and scaling the data.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

Tableau

OCTOBER 8, 2021

This helps all kinds of customers—from large retailers like Woolworths , to healthcare organizations like Health Data Compass —scale modern analytics with Tableau and Google Cloud. We keep innovating together to scale analytics to anyone across your organization. More to come from this innovative partnership.

Government 98

Government Digital Transformation Healthcare Retail 98

Sisense

JULY 3, 2019

Recommended modeling when adding new disparate data Data deduplication and cleansing for those times when data isn’t perfect – and by that I mean always. Smart field and widget suggestions to assist in navigating complex data models. Data Science Workbench.

Innovation 74

Innovation Data Modelling Visualization Artificial Intelligence 74

Sisense

MARCH 30, 2021

In Q1 2021, we’ve added another dimension to our strong relationship with AWS via new and innovative ways to leverage powerful machine learning and AI made for any advanced analyst or data scientist familiar with Python. Start augmenting your data.

Innovation 52

Innovation Data Modelling 52

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.

Big Data 231

Big Data Retail Data Modelling Planning 231

Business Analysts

APRIL 5, 2023

AI is making a significant impact in the enterprise space, enabling organizations to automate processes, gain insights from data, and optimize operations. As AI continues to evolve, it will become even more critical for businesses to leverage technology to remain competitive and drive innovation.

Artificial Intelligence 52

Artificial Intelligence Business Analysis Business Analysis Requirements Gathering 52

Domo

JANUARY 13, 2021

Given that not as many people drive to work anymore, and that data models are now based on more timely and smaller amounts of information, these retailers can really tap into the new signals they’re getting.

Retail 95

Retail Innovation Data Modelling Agile 95

Tableau

APRIL 20, 2022

Analytics for everyone: Explore new and existing innovations and smart analytical experiences, like predictive analytics, Tableau Business Science , and Tableau for the Enterprise , that make it easier for everyone in an organization to use data and analytics. . Session: From Data to Dashboard: Key Features for Analytical Success.

Chief Data Officer 111

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 111

Sisense

SEPTEMBER 9, 2019

During Mark’s tenure, he has helmed Skullcandy’s digital transformation and his team has successfully increased online revenue and presence in the digital ecosystems, evolved into a world class customer service organization, and enabled growth with innovative systems solutions. Using Sentiment Analytics to Inform New Product Design Decisions.

Predictive Analytics 75

Predictive Analytics Data Modelling Digital Transformation Digital 75

Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Data Warehouse 95

Data Warehouse Government Artificial Intelligence Data Discovery 95

Tableau

JUNE 26, 2021

Joselito Bondoc, The Data School : Using Custom Admin Views to Help with Tableau Server Housekeeping. Maggy Muellner, Playfair Data : 3 Innovative Ways to Use Filters in Tableau. Keith Dykstra, InterWorks : Pivoting Without Changing Granularity: A New Use for Tableau’s Relational Data Model. Calculations.

Data Modelling 85

Data Modelling Innovation Data Analytics Data Analytics 85

Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

Big Data 209

Big Data Agile Data Analytics Data Analytics 209

The BAWorld

MARCH 15, 2024

Thereby, learning visualization software such as Tableau can enhance your abilities as a data Analyst. This is the premier software used industry wide that enables you to display your analysis on dashboards, make data models, renderings and business intelligence reports.

Data Visualization 52

Data Visualization Artificial Intelligence Visualization Banking 52

Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Data Warehouse 93

Data Warehouse Government Artificial Intelligence Data Discovery 93

Sisense

JULY 7, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Today’s organizations are more data-driven than ever. Additional capabilities.

Data Warehouse 92

Data Warehouse Agile Data Modelling Innovation 92

Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. It follows then that data scientists are suddenly integral to building embedded AI components.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Tableau

APRIL 20, 2022

Analytics for everyone: Explore new and existing innovations and smart analytical experiences, like predictive analytics, Tableau Business Science , and Tableau for the Enterprise , that make it easier for everyone in an organization to use data and analytics. . Session: From Data to Dashboard: Key Features for Analytical Success.

Chief Data Officer 93

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 93

Sisense

MARCH 7, 2021

Machine learning and predictive modeling allowed the company to use complex historical warranty claim and cost information, previous and new product attributes, and forecasting data to create a predictive data model for future warranty costs. The value of large, varied data sources is becoming obvious in air travel, too.

E-Commerce 98

E-Commerce Logistics Healthcare Documentation 98

Sisense

MARCH 2, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Introducing the Sisense Data Model APIs. The new Sisense Data Model APIs extend the capabilities provided by the Sisense REST APIs.

Data Modelling 87

Data Modelling Embedded Analytics User Experience Innovation 87

Sisense

JULY 8, 2020

Hence you need a centralized platform and organization to facilitate innovation across all groups.” Successfully innovating with data and analytics requires a combination of the right software, the right data, and the right builders from within your own team or other departments. Double down on small wins.

Enterprise Innovation 107

Enterprise Innovation Innovation Healthcare Data Modelling 107

Sisense

MAY 31, 2020

We’ve taken what we’ve learned from our customers and combined it with our own understanding of how the data and analytics world is evolving to drive innovations that unlock new possibilities and help our clients future-proof their products and services. Innovating for success. What can you do with Sisense?

Data Warehouse 98

Data Warehouse Innovation Predictive Analytics Vision 98

Tableau

JUNE 26, 2021

Joselito Bondoc, The Data School : Using Custom Admin Views to Help with Tableau Server Housekeeping. Maggy Muellner, Playfair Data : 3 Innovative Ways to Use Filters in Tableau. Keith Dykstra, InterWorks : Pivoting Without Changing Granularity: A New Use for Tableau’s Relational Data Model. Calculations.

Data Modelling 52

Data Modelling Innovation Data Analytics Data Analytics 52

Whizlabs

APRIL 24, 2021

Components of Power BI include: Power Query which is a tool which combines and enhances data from different sources. . Power Pivot is a data modelling tool offered by Power BI through which you can make models out of your base. . Power View is a tool that specializes in the visualization of your data.

Business Intelligence 98

Business Intelligence Business Intelligence Visualization Information Technology 98

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

Ntara

MAY 18, 2021

It’s no secret that we are big fans of inRiver for their innovations in product information management (PIM). Their success was largely built on expertise in the B2B cloud software market but, over the years, Salesforce has continued to innovate. Integrating inRiver with Salesforce. Dave Norvell. Zach Helbert. SENIOR BUSINESS ANALYST.

Innovation 52

Innovation Data Governance Customer Experience Customer Experience 52

Astera

APRIL 27, 2023

Data warehouse A data warehouse or a data lake is a cloud-based data storage solution that stores all the organized data collected from the data source using the data pipeline tools. Astera Data Stack covers all the components of a modern data stack and automates complex data processes and workflows.

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52