Astera

APRIL 28, 2023

The sheer volume of data makes extracting insights and identifying trends difficult, resulting in missed opportunities and lost revenue. Additionally, traditional data management systems are not equipped to handle the complexity of modern data sources, such as social media, mobile devices, and digitized documents.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

TIBCO

FEBRUARY 22, 2019

So, when presenting data, you can either be like John Snow, who, using an accurate data visualization mapped a severe cholera outbreak, identified its source and stopped the deadly spread. Dr. Rankin has developed a highly acclaimed standards-based approach to designing reports and data visualizations based on these components.

Data Visualization 40

Data Visualization Documentation Visualization Data Requirement 40

Sisense

FEBRUARY 10, 2021

Utilities employ skilled professionals as knowledge workers, but creating a simple, visual way to analyze their data is a hard skillset to find in abundance. This presented the first challenge for our product team in building Cascade Insight: What is the data that is most important to capture?

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

Bridging the Gap

OCTOBER 12, 2022

In this video, I’m going to walk you through what the solutions are, why we use them, and what kinds of requirements techniques are really important to pay attention to. We’ve got document management tools. Be thinking about your business process, your use cases and wire frames, your functional requirements.

Skillset 52

Skillset Business Analysis Business Analysis Data Modelling 52

Astera

MARCH 11, 2024

Pre-built Connectors: Third-party ETL tools for Snowflake often come with a wide range of pre-built connectors for various data sources and destinations, streamlining the integration process. Seamlessly automate and orchestrate your data integration workflows, reducing manual intervention and streamlining operations.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Tableau

JUNE 8, 2021

Can you picture a world where data storytelling does no harm? The Tableau Foundation has collaborated with The Urban Institute to bring to you the Do No Harm Guide : Applying Equity Awareness in Data Visualization. It addresses the responsibility we all share in using data ethically to advance equity in our society.

Visualization 98

Visualization Data Visualization Government Documentation 98

Astera

FEBRUARY 1, 2024

Data models help us understand and utilize data within any system. Data modeling involves creating a detailed visual representation of an information system or its components. It is designed to communicate the connections between various data points and structures.

Data Modelling 40

Data Modelling Retail Documentation UML 40

Tableau

JUNE 8, 2021

Can you picture a world where data storytelling does no harm? The Tableau Foundation has collaborated with The Urban Institute to bring to you the Do No Harm Guide : Applying Equity Awareness in Data Visualization. It addresses the responsibility we all share in using data ethically to advance equity in our society.

Visualization 52

Visualization Data Visualization Government Documentation 52

Astera

MARCH 19, 2024

The Importance of Data Governance Data governance facilitates accessibility by establishing clear guidelines for who can access the data under what circumstances. These guidelines ensure that every employee has access to data required for their roles, promoting collaboration and informed decision-making across the organization.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Insight Software

JANUARY 17, 2022

Presentation and information delivery: These requirements affect you present data in visualizations, dashboards, and reports, as well as the compatibility of your BI solution across different devices and formats. Data Environment. Look for embedding APIs to ensure visualizations are rendered in the correct context.

Business Intelligence 52

Business Intelligence Business Intelligence User Experience Embedded Analytics 52

The BAWorld

APRIL 27, 2021

Thus, we can see how precisely business requirements can be translated to exact data requirements for analysis. Data Cleaning and Storage. Data Cleaning. The next step of Data Analytics Projects Life Cycle is data cleaning. Data Analysis. Once clean data is stored, it is ready for analysis.

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52

Argon Digital

AUGUST 4, 2022

Using this draft, I can plan elicitation with my subject matter experts (SME) which will not only allow me to correct and finish the model but will also turf up (pun intended) data requirements which I’ll need to document. Next Step - Requirements!

Banking 52

Banking Documentation Visualization Data Modelling 52

Argon Digital

AUGUST 4, 2022

Using this draft, I can plan elicitation with my subject matter experts (SME) which will not only allow me to correct and finish the model but will also turf up (pun intended) data requirements which I’ll need to document. Next Step - Requirements!

Banking 52

Banking Documentation Visualization Data Modelling 52

Astera

OCTOBER 12, 2023

By offering a spreadsheet-style interface, the platform allows users to navigate and interact with complex data in an intuitive manner. Key Features: Data Preparation: Datameer’s self-service data preparation interface is spreadsheet-like, making it easy for users to explore, transform, and visualize data.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Data Pine

OCTOBER 30, 2019

Users can also easily export these dashboards and data visualizations into visually stunning reports that can be shared via multiple options such as automating e-mails or providing a secure viewer area, even embedding reports into your own application, for example. What data and insights do your shareholders require?

Visualization 51

Visualization Retail Data Visualization Government 51

The BAWorld

NOVEMBER 22, 2021

A dashboard is a collection of multiple visualizations in data analytics terms that provide an overall picture of the analysis. It combines high performance and ease of use to let end users derive insights based on their requirements. Also, see data visualization. Data Analytics. Data Modeling.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

APRIL 24, 2024

Pros: User-friendly interface for data preparation and analysis Wide range of data sources and connectors Flexible and customizable reporting and visualization options Scalable for large datasets Offers a variety of pre-built templates and tools for data analysis Cons: Some users have reported that Alteryx’s customer support is lacking.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Data Pine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2) Data Discovery/Visualization. We all gained access to the cloud.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Insight Software

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52