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 Cloud Computing Data Quality Monitoring 52

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective. Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

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 133

Government Digital Transformation Healthcare Retail 133

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 91

Government Data Management Data Governance Cybersecurity 91

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.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

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 Healthcare Retail 98

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 70

Government Data Management Data Governance Cybersecurity 70

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

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.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

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.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 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

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?

Data Modelling 329

Data Modelling Data Visualization Data Governance Government 329

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).

Government 81

Government Documentation Business Intelligence Business Intelligence 81

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.

Data Quality 96

Data Quality Monitoring Big Data Government 96

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

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

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.

Artificial Intelligence 52

Artificial Intelligence Data Modelling Data Governance Data Visualization 52

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

Data Modelling Embedded Analytics Data Warehouse Innovation 98

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

Embedded Analytics Data Warehouse Innovation Data Governance 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

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.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 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