Juice Analytics

APRIL 21, 2019

While customers can describe a billing workflow or a mobile app feature, explaining how data should be used is less clear. Merely documenting a wish list of reports, fields and filters is a recipe for low adoption and canceled subscriptions. In each case we developed a data application based on industry best practices.

Documentation 73

Documentation Data Requirement Monitoring 73

Juice Analytics

MARCH 11, 2021

Integration — Connections with other software systems to integrate with data and enable operational actions. Documentation — Because data products live on and touch many people within your organization. Reporting — To track usage of the data product. Decisions aren’t made on an island.

Product Management 128

Product Management Product Management Vision Healthcare 128

Tableau

JUNE 8, 2021

Applying a DEI lens to how we analyze, visualize, and communicate data requires empathizing with both the communities whose data we are visualizing as well as the readers and target audiences for our work. Jonathan: The document expanded further than what we initially considered. This is only volume one.

Visualization 111

Visualization Data Visualization Government Documentation 111

Astera

JULY 20, 2023

By aligning data elements and formats, EDI mapping brings clarity, efficiency, and simplicity to business networks, streamlining operations and fostering seamless communication. Understanding EDI Mapping EDI mapping refers to the process of matching the data structure and format of two systems that are exchanging EDI documents.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 52

Astera

SEPTEMBER 25, 2024

It provides many features for data integration and ETL. While Airbyte is a reputable tool, it lacks certain key features, such as built-in transformations and good documentation. Limited documentation: Many third-party reviews mention Airbyte lacks adequate connector-related documentation. Let’s find out in this blog.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Sisense

MARCH 31, 2019

Complete a planning document covering: An outline. Data update frequency. Data requirements. Evaluate the complexity associated with each. Choose low hanging fruit first. Concrete goal(s). Target audience. Call to action. Define KPIs (necessary to answer your primary business question).

Business Intelligence 75

Business Intelligence Business Intelligence Documentation Planning 75

Astera

MARCH 26, 2023

Common Data Management Challenges in the Insurance Industry Data trapped in Unstructured sources Managing the sheer volume of data scattered across various unstructured sources is one of the top data management challenges in the insurance industry. These PDFs may vary in format and layout.

Documentation 52

Documentation Data Quality Data Warehouse Data Management 52

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

Inflexion Analytics

APRIL 15, 2024

Here are a few examples of what they excel at: Text Summarization: LLMs can distill lengthy documents into concise summaries, making information more digestible and accessible. Document Summarization: When you need to extract key points from extensive reports or articles, LLMs are up to the task.

Artificial Intelligence 52

Artificial Intelligence Documentation Digital Innovation 52

Inflexion Analytics

APRIL 15, 2024

Here are a few examples of what they excel at: Text Summarization: LLMs can distill lengthy documents into concise summaries, making information more digestible and accessible. Document Summarization: When you need to extract key points from extensive reports or articles, LLMs are up to the task.

Artificial Intelligence 52

Artificial Intelligence Documentation Digital Innovation 52

Astera

NOVEMBER 13, 2023

Enhanced Documentation: Good API documentation is essential for other API developers. API design tools often include features that autogenerate documentation based on the design, making it easier for other developers to understand and use the API. A tool should be intuitive and easy to use, even for those new to API design.

Documentation 52

Documentation Visualization Project Management Data Modelling 52

Juice Analytics

MAY 19, 2021

Create a shared document where you define: 1) how your key data/metrics are calculated; 2) where this data comes from; 3) how this data might be improved. Link to it when you present data in a dashboard, report, or data story.

Master Data Management 59

Master Data Management Documentation Data Requirement Data Management 59

MindsMapped

JULY 9, 2020

Managing Project Reports and Critical Project Documentation. Finally, experienced project managers know how essential final reports and proper documentation are. Does the Individual have the Relevant Skillsets to take on a Hybrid Role?

Project Management 78

Project Management Skillset Requirements Life Cycle Management Business Analysis 78

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

Marutitech

OCTOBER 8, 2021

Especially in businesses, emails, tickets, chats, social media conversions, and documents are generated daily. Therefore, it is hard to analyze all this vast data in a timely and efficient manner. Let us look at the overall benefits of sentiment analysis in detail: Sort Data at Scale .

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98

Cprime

JULY 27, 2021

Data is usually gathered manually and is based on expert opinion. Date is collected infrequently due to the significant effort required to assemble experts and obtain data. Requires tooling and normalizing tooling data Automated data collection may be difficult from document based tools like MS Excel.

Data Automation 52

Data Automation Documentation Government Data Requirement 52

Astera

AUGUST 15, 2023

It automates tasks such as mortgage application submission, document verification, and loan underwriting, enabling faster turnaround times. Enhanced Efficiency: By digitizing and automating data exchange, EDI improves operational efficiency within the mortgage industry.

Finance 52

Finance Data Security Customer Experience Customer Experience 52

Astera

JUNE 14, 2023

In a nutshell, these softwares evaluate invoices for certain pre-defined criteria and extracts the necessary data automatically. Many softwares use Optical Character Recognition (OCR) techniques to recognize the text from the document, combined with natural language processing algorithms to extract key pieces of data from the invoice.

Documentation 40

Documentation Digital Banking Data Security 40

TIBCO

FEBRUARY 22, 2019

Just like over the counter medicine, data requires the same types of supporting information and documentation to ensure the information is communicated effectively. 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

Astera

MARCH 11, 2024

For instance, Snowflake regularly releases updates and enhancements to its platform, such as new data processing algorithms and integrations with emerging technologies, empowering organizations to stay ahead of the curve and leverage the latest advancements in data analytics.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Sisense

FEBRUARY 10, 2021

This presented the first challenge for our product team in building Cascade Insight: What is the data that is most important to capture? However, defining the data requirements was important for understanding what data you need to measure to provide analytical insights.

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

Astera

MAY 21, 2024

Database schemas serve multiple purposes, some of which include: Application Development Database schemas are the data models that applications interact with. Applications can query and manipulate data in a structured way using schemas. For developers, schemas serve as documentation describing the database’s structure.

Documentation 52

Documentation Data Modelling Visualization Data Requirement 52

The BAWorld

MARCH 13, 2024

Use Cases & Scenarios: Mapping User Journeys Delineating how users interact with systems, use cases and scenarios document specific activities, inputs, outputs, and anticipated results. It ensures data consistency, accessibility, and integrity, facilitating efficient data storage, retrieval, and analysis.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Insight Software

JANUARY 17, 2022

The BI solutions you evaluate should be compatible with your current data environment, while at the same time have enough flexibility to meet future demands as your data architecture evolves. Look for one that supports onboarding, gives you a dedicated account management, and plenty of documentation and support offerings.

Business Intelligence 52

Business Intelligence Business Intelligence User Experience Embedded Analytics 52

Astera

AUGUST 15, 2024

It’s also more contextual than general data orchestration since it’s tied to the operational logic at the core of a specific pipeline. Since data pipeline orchestration executes an interconnected chain of events in a specific sequence, it caters to the unique data requirements a pipeline is designed to fulfill.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

MAY 11, 2023

An integral part of this process is data extraction, which involves collecting data from multiple sources and transforming it into a usable format. Traditionally, data extraction is performed manually, which involves hand-keying data from different sources and formats, such as spreadsheets, websites, and documents.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

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

Astera

AUGUST 22, 2023

Automated Insurance Claim Processing The insurance claim processing in healthcare can be a labyrinth of procedures involving various stakeholders, each with unique data requirements. Each transaction document could take up to three hours to rectify, consuming significant time and resources.

Healthcare 52

Healthcare Data Management Supply Chain Pharmaceutical 52

GAVS Technology

NOVEMBER 5, 2024

Human Error: Mistakes such as accidental data sharing or configuration errors that unintentionally expose data, requiring corrective actions to mitigate impacts. Data Theft: Unauthorized acquisition of sensitive information through physical theft (e.g., stolen devices) or digital theft (hacking into systems).

Cybersecurity 52

Cybersecurity Healthcare Monitoring Data Security 52

Astera

MAY 6, 2024

To assist users in navigating this choice, the following guide outlines the essential considerations for choosing a data mining tool that aligns with their specific needs: 1. Documentation and Training : Adequate learning materials and troubleshooting guides are essential for mastering the tool and resolving potential issues.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Bridging the Gap

OCTOBER 12, 2022

We’ve got document management tools. All these types of tools are, software as a service or COTS tools, and they all need requirements if you’re going to implement them successfully at your company. A really good, detailed rundown of COTS requirements, the kinds of requirements that you need for these types of projects.

Skillset 52

Skillset Business Analysis Business Analysis Data Modelling 52

Tableau

JUNE 8, 2021

Applying a DEI lens to how we analyze, visualize, and communicate data requires empathizing with both the communities whose data we are visualizing as well as the readers and target audiences for our work. Jonathan: The document expanded further than what we initially considered. This is only volume one.

Visualization 52

Visualization Data Visualization Government Documentation 52

Astera

MARCH 20, 2024

Modernizing legacy systems EDM requires that there’s a clear understanding of data origin and transformations. However, legacy systems store data in outdated formats or proprietary databases and lack proper documentation on how data flows through the system, where it originates, and how it’s transformed.

Data Management 52

Data Management Master Data Management Data Warehouse Data Quality 52

Bridging the Gap

NOVEMBER 17, 2023

An accompanying Business Process Document which is a textual model providing additional details like business rules, exceptions, entry and end points. Data Dictionary , which shows you how to organize and drill down into the detailed data requirements.

Business Analysis 52

Business Analysis Business Analysis Data Modelling Visualization 52

Astera

JULY 18, 2023

Scalability : The best part about data wrangling tools is their ability to handle large data volumes, allowing seamless scalability. These tools employ optimized algorithms and parallel processing techniques, enabling faster data processing and analysis.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Bridging the Gap

MAY 18, 2023

And then your individual business analysts are responsible for analyzing the business processes , defining the functional requirements , and analyzing the data requirements within their assigned area of work. This could be by software system or by stakeholder group, or by a category of features.

Business Analysis 52

Business Analysis Business Analysis Project Management Skillset 52