Whizlabs

MARCH 14, 2021

What Microsoft Power BI does is that it will collect all the software services, apps and web that you desire and connect every piece of data with each other. The end product is a visual projection of insights that you might know and the ones you should know. Data modelling and visualizations. Working of Power BI.

Visualization 52

Visualization Cloud Computing Data Modelling Monitoring 52

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?

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Tableau

OCTOBER 14, 2021

Culture change can be hard, but with a flexible data governance framework, platform, and tools to power digital transformation, you can accelerate business growth. Let’s start with how governance helps employees use data responsibly. . Bring your governance and data management practices out of the past.

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Government Data Management Data Governance Cybersecurity 98

BI Insight

NOVEMBER 26, 2021

This is the second part of my new series of Power BI posts named Power BI 101. In the previous post, I briefly discussed what Power BI is. In this post, I look into one of the most confusing parts for those who want to start learning Power BI. Many people jump straight online and … Continue reading Power BI 101, What Should I Learn?

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Tableau

OCTOBER 14, 2021

Culture change can be hard, but with a flexible data governance framework, platform, and tools to power digital transformation, you can accelerate business growth. Let’s start with how governance helps employees use data responsibly. . Bring your governance and data management practices out of the past.

Government 95

Government Data Management Data Governance Cybersecurity 95

Tableau

OCTOBER 8, 2021

Tableau and Google Cloud are partnering to help modernize your data and analytics infrastructure and unlock your data’s full value. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems. With Tableau, any user can visually explore that data in real time.

Government 98

Government Digital Transformation Retail Healthcare 98

Sisense

OCTOBER 14, 2020

Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. Everyone wins!

Data Modelling 98

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Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

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Sisense

SEPTEMBER 12, 2019

You likely already have some form of scheduled reports, are drilling down into your data, discovering what is in your data, and may even be visualizing to some extent. 2 Plan your objectives (and map the supporting data). 3 Define how the data will be shared (and how it will be distributed).

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Domo

JANUARY 30, 2024

This has enabled them to solve data problems much faster while reducing overall costs in custom development work, hiring, and more. Building custom pipelines, setting up web data connectors, or considering iPaas solutions—things you would need to set up data access in Tableau—can take months. And now, you can try Domo for free.

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Visualization Documentation Data Governance Data Visualization 52

Astera

AUGUST 13, 2024

Data modernization also includes extracting , cleaning, and migrating the data into advanced platforms. After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards.

Data Governance 52

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Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 28, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Data Pine

SEPTEMBER 29, 2022

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business. 2 – Data profiling.

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Data Quality Monitoring Big Data Government 96

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

BI Insight

NOVEMBER 25, 2021

This is the second part of my new series of Power BI posts named Power BI 101. In the previous post, I briefly discussed what Power BI is. In this post, I look into one of the most confusing parts for those who want to start learning Power BI. Many people jump straight online and … Continue reading Power BI 101, What Should I Learn?

Data Modelling 130

Data Modelling Data Visualization Data Governance Government 130

Astera

MAY 13, 2024

Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability. Documenting the sensitivity analysis process to gain insights into the aggregated data’s reliability.

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Supply Chain E-Commerce Healthcare Data Quality 52

Astera

JANUARY 18, 2024

As far as the destinations are concerned, Fivetran supports data warehouses and databases, but it doesn’t support most data lakes. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool. You can easily design and orchestrate complex workflows.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Astera

JANUARY 25, 2024

Guide to the Workflow of Reverse ETL There are four main aspects to reverse ETL: Data Source: It refers to the origin of data, like a website or a mobile app. Data Models: These define the specific sets of data that need to be moved.

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E-Commerce Data Warehouse Retail Customer Experience 52

Domo

OCTOBER 22, 2021

Such an offering can also simplify and integrate data management on a massive scale—whether that data lives on premises or in cloud environments—and be used to develop an enterprise-wide data modeling process.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

MindsMapped

JULY 18, 2020

They will be working jointly with the service design, user experience, and visual design teams. Business Analytics mostly work with data and statistics. They primarily synthesize data and capture insightful information through it by understanding its patterns. Design Business Analyst works closely in the design phase.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46

The Data Administration Newsletter

FEBRUARY 21, 2024

Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them.

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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. Also, see data visualization. Data Analytics. Data analytics is the science of examining raw data to determine valuable insights and draw conclusions for creating better business outcomes.

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Astera

JUNE 12, 2024

Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

APRIL 24, 2024

Key Features: Data collection Data processing and presentation Integration with various sources User-friendly interface Multi-server support, backup and recovery, and maintainability. Its data modeling layer helps users integrate data from disparate databases, CRMs, and systems into a single view.

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IBM Support IBM cost IBM Maintenance Visualization 52

Sisense

NOVEMBER 5, 2021

This learning process also helps drive Radial’s Data governance strategy, helping us understand data retention needs by business area, availability of data (live vs archive), data separation and security, and more. Radial delivers a modern analytics experience with Sisense.

Embedded Analytics 52

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Analysts Corner

JANUARY 6, 2025

These include the 5G networks and real-time video transfer protocols, technologies for detailed visualization and robotics. Organize your company around decentralized, autonomous domains, which collaborate to contribute to companys success, but are self-sufficient in terms of software development and data management.

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Government Digital Artificial Intelligence Healthcare 130

The Data Administration Newsletter

FEBRUARY 19, 2025

Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched naming conventions across databases. These issues slow analysis pipelines and demand time-consuming cleanup.

Data Modelling 52

Data Modelling Data Governance Data Visualization Government 52

Insight Software

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

OCTOBER 24, 2022

Analytics and data visualizations have the power to elevate a software product, making it a powerful tool that helps each user fulfill their mission more effectively. Modern analytics offers a different approach that incorporates data access, data governance, and dashboard interactivity – simplifying access to information.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52

Insight Software

MARCH 13, 2024

Complex Data Structures and Integration Processes Dynamics data structures are already complex – finance teams navigating Dynamics data frequently require IT department support to complete their routine reporting.

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