ElegantJ BI

FEBRUARY 5, 2018

A user-centric, self-serve approach to business intelligence must also be designed to expand the boundaries of self-serve analytics while ensuring appropriate data governance and security. Contact Us and find out more about the ever-expanding world of self-serve analytics.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

Business Analysis Knowledge Share

OCTOBER 27, 2023

The Significance of Business Intelligence Business Intelligence is a multifaceted discipline that encompasses the tools, technologies, and processes for collecting, storing, and analyzing data to support informed decision-making. Benefits: Reduced stockouts, optimized inventory levels, and improved revenue planning.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Analysts Corner

MARCH 9, 2023

For over three decades, Microsoft Excel has been an essential piece of business software, with around 86% of businesses using it for planning and budgeting (Cherry Solutions, 2022). Why do business and data analysis job roles not always explicitly mention Excel as required skill? It is easy to learn with a lot of free online resources.

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. 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

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Domo

JULY 8, 2021

For any organization integrating cloud into its core tech stack, it’s important to recognize the opportunities and risks that come with a new environment, and to plan appropriately. A third thing you should consider is how providers align with your data governance models.

Data Governance 52

Data Governance Government Embedded Analytics Data Warehouse 52

Astera

FEBRUARY 28, 2024

They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. Best Practices for Data Warehouses Adopting data warehousing best practices tailored to your specific business requirements should be a key component of your overall data warehouse strategy.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 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

Astera

JANUARY 23, 2024

Analytics teams can also visualize these insights by leveraging reporting and visualization tools, such as dashboards, charts, or graphs. Why are Data Vaults and Information Marts Crucial in the BI Ecosystem? Data vault uses a hub and spoke architecture to simplify the intricacies of data integration and storage.

Agile 52

Agile Data Warehouse Data Quality Government 52

ElegantJ BI

MAY 11, 2016

If the business intelligence dashboards and tools you have seen reflect the types of displays described above, it is important to distinguish between those static visualization tools, and restrictive features and the features and tools provided by a true self-serve performance management and business intelligence solution.

Business Intelligence 130

Business Intelligence Business Intelligence Data Governance Government 130

ElegantJ BI

MAY 11, 2016

If the business intelligence dashboards and tools you have seen reflect the types of displays described above, it is important to distinguish between those static visualization tools, and restrictive features and the features and tools provided by a true self-serve performance management and business intelligence solution.

Business Intelligence 130

Business Intelligence Business Intelligence Data Governance Government 130

ElegantJ BI

MAY 11, 2016

If the business intelligence dashboards and tools you have seen reflect the types of displays described above, it is important to distinguish between those static visualization tools, and restrictive features and the features and tools provided by a true self-serve performance management and business intelligence solution.

Business Intelligence 130

Business Intelligence Business Intelligence Data Governance Government 130

Netmind

MARCH 9, 2021

To what extent is the data reliable and credible for the entire organization? Data is our source of information and therefore can be interpreted, but it should not be debated. There will be multiple ways to visualize and use the data, but the intent is to do it without corrupting the validity of the data obtained.

Data Governance 52

Data Governance Government Data Requirement Vision 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

Netmind

NOVEMBER 1, 2020

To what extent is the data reliable and credible for the entire organization? Data is our source of information and therefore can be interpreted, but it should not be debated. There will be multiple ways to visualize and use the data, but the intent is to do it without corrupting the validity of the data obtained.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Astera

NOVEMBER 27, 2023

Here are some of the distinct advantages of data profiling: Informed Decision-Making: Data profiling provides a clear understanding of the available data, its quality, and its structure. This knowledge aids in making informed, data-driven decisions, thereby improving strategic planning and operational efficiency.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Data Pine

SEPTEMBER 29, 2022

The quality of data is defined by different factors that will be detailed later in this article, such as accuracy, completeness, consistency, or timeliness. That quality is necessary to fulfill the needs of an organization in terms of operations, planning, and decision-making. Why Do You Need Data Quality Management?

Data Quality 96

Data Quality Monitoring Big Data Government 96

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). At this stage, you will need to plan your business goal. Go Big, go data.

Government 81

Government Documentation Business Intelligence Business Intelligence 81

Astera

JANUARY 25, 2024

It enables financial teams to make informed and timely decisions, leading to better outcomes. Inventory Management Reverse ETL is beneficial to inventory management by ensuring that product availability and inventory levels are accurately reflected on e-commerce platforms.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

MAY 4, 2023

Provide explanations: A good AI-based document processing system provides explanations for its decisions, including providing visualizations or explanations of the features that the model is using to make decisions.

Documentation 40

Documentation Artificial Intelligence Data Security Monitoring 40

ElegantJ BI

MARCH 14, 2016

Powerful ad hoc analysis cannot be replaced by static monitoring dashboards and visualization of data. They can use mobile BI tools to maintain a competitive advantage and leverage plug n’ play predictive analysis and forecasting tools to plan for future growth and challenges.

Visualization 130

Visualization Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

MARCH 14, 2016

Powerful ad hoc analysis cannot be replaced by static monitoring dashboards and visualization of data. They can use mobile BI tools to maintain a competitive advantage and leverage plug n’ play predictive analysis and forecasting tools to plan for future growth and challenges.

Visualization 130

Visualization Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

MARCH 14, 2016

Powerful ad hoc analysis cannot be replaced by static monitoring dashboards and visualization of data. They can use mobile BI tools to maintain a competitive advantage and leverage plug n’ play predictive analysis and forecasting tools to plan for future growth and challenges.

Visualization 130

Visualization Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Data Hub A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources. Intended Use of Data. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources. Intended Use of Data. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

Smart Data Collective

FEBRUARY 23, 2021

Not Having a Data Architecture Plan. Data quality matters, but along with that, even its structure matters. When you’re dealing with big data, it’s essential that you manage it well. Without a data governance framework in place, you won’t be able to find and retrieve the required data with ease.

Big Data 292

Big Data Data Quality Data Visualization Data Architecture 292

Astera

MAY 13, 2024

Data Aggregation Types and Techniques There are various types of data aggregation. Your requirements and how you plan to use the data will determine which approach suits your use case. Temporal As the name suggests, temporal aggregation summarizes data over specified time intervals.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

BizAcuity

APRIL 1, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Astera

OCTOBER 10, 2023

Importance of Data Mapping in Data Integration Data mapping facilitates data integration and interoperability. Having the right data mapping tool is crucial for efficient data integration. It simplifies and automates the process, reduces manual effort, and ensures accurate mapping between data sources.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52

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 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 Visualization 40

ElegantJ BI

JANUARY 7, 2020

Because traditional BI solutions were not designed to support use by team members within the line of business or business users in general, the enterprise could not capitalize on the unique perspective, knowledge or skill of these users to advance business results, plan for future results or solve problems.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130