Sisense

JULY 6, 2020

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise Data Management (EDM). What is enterprise data management?

Data Management 98

Data Management Data Architecture Data Governance Government 98

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm. February 18, 2021.

Business Intelligence 102

Business Intelligence Business Intelligence Government Visualization 102

Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. This is where intelligent systems come in. The sheer volume of data makes extracting insights and identifying trends difficult, resulting in missed opportunities and lost revenue.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Smart Data Collective

APRIL 20, 2022

Data entry errors can be reduced by minimizing the number of unnecessary records in the system. Reducing data redundancy is made easier by reviewing and modifying forms, data, and documents regularly. Errors will be less likely to be entered into the system if redundant data is removed from it.

Documentation 363

Documentation Data Quality Data Security Data Management 363

BI Insight

APRIL 29, 2023

In recent years, Power BI has become one of the most widely used business intelligence (BI) tools. Power BI is more than just a reporting tool; it is a comprehensive analytical platform that enables users to collaborate on data insights and share them internally and externally.

Government 233

Government Business Intelligence Business Intelligence Monitoring 233

BizAcuity

SEPTEMBER 16, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. The tool is simple and easy to use. Comes in a desktop and a cloud version.

Visualization 174

Visualization Data Visualization Agile Business Intelligence 174

ElegantJ BI

APRIL 28, 2021

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

APRIL 28, 2021

In today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise. Data Warehouse. Data Lake.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. The tool is simple and easy to use. Comes in a desktop and a cloud version.

Visualization 154

Visualization Data Visualization Agile Business Intelligence 154

Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Insight Software

JANUARY 17, 2022

Business intelligence requirements in this category may include dashboards and reports as well as the interactive and analytical functions users can perform. These are the diverse data requirements commonly evaluated by application providers: Data sources: Make sure your primary data source is supported by your BI solution.

Business Intelligence 52

Business Intelligence Business Intelligence User Experience Embedded Analytics 52

Astera

JANUARY 23, 2023

Billion by 2026 , showing the crucial role of health data management in the industry. Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Quality Government 52

Astera

MAY 11, 2023

Imagine a world where businesses can effortlessly gather structured and unstructured data from multiple sources and use it to make informed decisions in mere minutes – a world where data extraction and analysis are an efficient and seamless process. AI can analyze vast amounts of data but needs high-quality data to be effective.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

Astera

DECEMBER 16, 2024

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. Astera Astera is an all-in-one, no-code platform that simplifies data management with the power of AI.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Sisense

APRIL 14, 2019

For the most strategic providers, partnering with a scalable BI platform committed to your success is the answer—giving you the power to nurture your long-term business relationships with data transparency and actionable insights. Expanding Offerings to Grow Business Partnerships. More Data, More Problems.

Documentation 72

Documentation Procurement Logistics Business Intelligence 72

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm. February 18, 2021.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. The tool is simple and easy to use. Comes in a desktop and a cloud version.

Visualization 100

Visualization Data Visualization Agile Business Intelligence 100

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. The tool is simple and easy to use. Comes in a desktop and a cloud version.

Visualization 100

Visualization Data Visualization Agile Business Intelligence 100

Sisense

JANUARY 13, 2021

Getting smarter about data and how it is used has allowed Pets Corner to be more agile and make the right decisions at the right times to thrive in challenging retail and wider commercial conditions. The problem: Too much data, too little insight. Stewart Wright is the managing director at YourDMS and Truth BI.

Supply Chain 95

Supply Chain Procurement E-Commerce Business Intelligence 95

The Uncommon League

MARCH 17, 2020

Based on its own data, business analyst jobs increased by 160 percent. As private companies invest more in business analysis, educators and academics are preparing business school students for their future careers. Angela Wick , BA-Squared CEO, created an in-depth guide to the old and new practices of business analysts.

Agile 94

Agile Documentation Enterprise Architecture Business Analysis 94

Domo

APRIL 7, 2023

Rather than use modern data management and analytics technology to distribute data to its locations in real time, the nearly 25-year-old company did so in quarterly Microsoft Excel documents.

Embedded Analytics 52

Embedded Analytics Documentation Business Intelligence Business Intelligence 52

Business Analysis Knowledge Share

OCTOBER 24, 2023

This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount.

IBM Maintenance 75

IBM Maintenance Data Warehouse IBM cost Data Quality 75

Astera

OCTOBER 7, 2022

Across industries, organizations generate a massive volume of data. Investing in analytics and business intelligence (BI) tools empowers business leaders to make more informed decisions. It does not contain a predetermined data model or schema but has an internal structure. Enabling Unstructured Data Analytics.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Astera

DECEMBER 29, 2023

A data warehouse is a key component of an organization’s data stack that enables it to consolidate and manage diverse data from various sources. Think of Hubs as tables, as in 3NF but much simpler, with just a single key column and, often, some extra information for documentation.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

A data warehouse is a key component of an organization’s data stack that enables it to consolidate and manage diverse data from various sources. Think of Hubs as tables, as in 3NF but much simpler, with just a single key column and, often, some extra information for documentation.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices. Data Mining.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. So, let’s dive into what databases are, their types, and see how they improve business performance.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Domo

JUNE 12, 2019

The key finding—that the average ROI was 434%—has already been documented. But we wanted to talk about it. And so did Dean. And so did one of our customers. So, last month, we hosted a webinar on the subject.

Documentation 52

Documentation Business Intelligence Business Intelligence Data Management 52

Data Pine

JANUARY 24, 2021

Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. It’s crucial to know what data analysis questions you want to ask from the get-go. They form the bedrock for the rest of this process.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Business Analysis Knowledge Share

MARCH 15, 2023

Let’s understand what a Data warehouse is and talk through some key concepts Datawarehouse Concepts for Business Analysis Data warehousing is a process of collecting, storing and managing data from various sources to support business decision making. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

MAY 14, 2024

Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source).

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

APRIL 24, 2024

Data Uniformity: Using data ingestion tools enables the extraction of information and converting it into a unified dataset. Organizations can use this information for business intelligence, reports, and analytics. Below is a list of some of the best data ingestion solutions and their key features.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Astera

NOVEMBER 27, 2023

In contrast, data mining involves exploring the data to discover hidden patterns, trends, and valuable insights using advanced techniques like machine learning. It’s the process of extracting meaningful information from the data.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Astera

MAY 20, 2024

” By mapping the lineage of data, organizations can uphold the accuracy and reliability of analytics, reporting, and decision-making processes. Why is Data Lineage Important? Data lineage is crucial for data governance , data management , and regulatory compliance.

Data Governance 52

Data Governance Healthcare Government Data Quality 52

Sisense

FEBRUARY 1, 2021

Although many publications compare product data management and product life cycle management — commonly framing the debate as “PDM versus PLM” — that can create confusion. The functionality referred to as a product data management framework is more accurately a subset of a product life cycle management framework.

Supply Chain 52

Supply Chain Portfolio Management Business Intelligence Business Intelligence 52