Analysts Corner

AUGUST 13, 2023

Understand Data Structure: Data profiling helps in understanding the structure and format of the data, such as the number of columns, data types, and data format. This can include details about the data’s origin, format, date of creation, author, and more.

Data Quality 130

Data Quality Data Warehouse Data Discovery Innovation 130

Tableau

MARCH 21, 2023

Srikant Subramaniam Director, Product Management, Tableau Bronwen Boyd March 21, 2023 - 8:28pm March 21, 2023 The increase in data volume and formats over the years has led to complex environments where it can be difficult to track and access the right data.

Data Discovery 97

Data Discovery Government Data Quality Data Governance 97

Dataversity

DECEMBER 7, 2020

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

Data Warehouse 225

Data Warehouse Data Discovery Business Intelligence Business Intelligence 225

Tableau

MARCH 21, 2023

Srikant Subramaniam Director, Product Management, Tableau Bronwen Boyd March 21, 2023 - 8:28pm March 21, 2023 The increase in data volume and formats over the years has led to complex environments where it can be difficult to track and access the right data.

Data Discovery 52

Data Discovery Government Data Quality Data Governance 52

Astera

FEBRUARY 28, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. Keeping track of metadata can help you understand the data, facilitate data integration , enable data lineage tracing, and enhance data quality.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Analysts Corner

JANUARY 12, 2023

In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and data governance play in achieving compliance. The average cost of a data breach among organizations surveyed reached $4.24

Data Quality 130

Data Quality Data Governance Government IBM cost 130

ElegantJ BI

APRIL 1, 2016

Future enhancements include Smart Data Discovery with self-serve data exploration and preparation, that creates Citizen Data Scientists with features like smart visualization, and plug n’ play predictive analysis.

Real-time Data 100

Real-time Data Business Intelligence Business Intelligence Data Discovery 100

ElegantJ BI

APRIL 1, 2016

Future enhancements include Smart Data Discovery with self-serve data exploration and preparation, that creates Citizen Data Scientists with features like smart visualization, and plug n’ play predictive analysis.

Real-time Data 100

Real-time Data Business Intelligence Business Intelligence Data Discovery 100

ElegantJ BI

APRIL 1, 2016

Future enhancements include Smart Data Discovery with self-serve data exploration and preparation, that creates Citizen Data Scientists with features like smart visualization, and plug n’ play predictive analysis. ” About ElegantJ BI. ” About ElegantJ BI.

Real-time Data 100

Real-time Data Business Intelligence Business Intelligence Data Discovery 100

Astera

APRIL 28, 2023

For example, GE Healthcare leverage AI-powered data cleansing tools to improve the quality of data in its electronic medical records, reducing the risk of errors in patient diagnosis and treatment. Continuous Data Quality Monitoring According to Gartner , poor data quality cost enterprises an average of $15 million per year.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. But, before your organization selects and deploys a solution, there are numerous important considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. But, before your organization selects and deploys a solution, there are numerous important considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Data Governance and Self-Serve Analytics Go Hand in Hand. But, before your organization selects and deploys a solution, there are numerous important considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Sisense

APRIL 15, 2021

From data preparation , with attendant data quality assessment, to connecting to datasets and performing the analysis itself, helpful AI elements, invisibly integrated into the platform, make analysis smoother and more intuitive.

Artificial Intelligence 98

Artificial Intelligence Data Modelling Cloud Computing Data Discovery 98

The BAWorld

NOVEMBER 28, 2021

A few popular companies that offer data wrangling solutions are Trifacta and Datawatch Monarch. Core Data Wrangling Activities. The data wrangling process typically involves the following six core data wrangling activities. This step allows data scientists to get familiar with the data sets. . Discovering.

Visualization 52

Visualization Data Visualization Data Discovery Data Quality 52

Smart Data Collective

SEPTEMBER 21, 2021

The data fabric solution must also embrace and adapt itself to new emerging technologies such as docker, Kubernetesinserverless computing, etc. Data quality and governance. Data fabric solutions must integrate data quality into each step of the data management process right from the initial stages.

Data Management 258

Data Management Government Data Quality Data Discovery 258

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

Data Warehouse 246

Data Warehouse Data Management Data Governance Data Discovery 246

Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

MARCH 28, 2024

The former offers a comprehensive view of an organization’s data assets. It facilitates data discovery and exploration by enabling users to easily search and explore available data assets. This functionality includes data definitions, schema details, data lineage, and usage statistics.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Dataversity

SEPTEMBER 20, 2021

Click to learn more about author Balaji Ganesan. Sources indicate 40% more Americans will travel in 2021 than those in 2020, meaning travel companies will collect an enormous amount of personally identifiable information (PII) from passengers engaging in “revenge” travel.

Digital 246

Digital Data Governance Data Discovery Data Quality 246

Astera

APRIL 4, 2024

Data governance’s primary purpose is to ensure organizational data assets’ quality, integrity, security, and effective use. The key objectives of Data Governance include: Enhancing Clear Ownership: Assigning roles to ensure accountability and effective management of data assets.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Timo Elliott

JANUARY 22, 2019

We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. AI-assisted data discovery can automatically mine data for insights and propose appropriate views of what’s new, exceptional, or different.

Data Discovery 223

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 223

ElegantJ BI

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

ElegantJ BI

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

ElegantJ BI

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

Astera

FEBRUARY 27, 2024

It also supports predictive and prescriptive analytics, forecasting future outcomes and recommending optimal actions based on data insights. Enhancing Data Quality A data warehouse ensures high data quality by employing techniques such as data cleansing, validation, integration, and standardization during the ETL process.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

It also supports predictive and prescriptive analytics, forecasting future outcomes and recommending optimal actions based on data insights. Enhancing Data Quality A data warehouse ensures high data quality by employing techniques such as data cleansing, validation, integration, and standardization during the ETL process.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Dataversity

JUNE 13, 2022

When data is not viable for integration across systems and processes, business users will seldom have the right coverage of data. If people lack knowledge about data and its importance logically, it often becomes a challenge, which leads to less impactful decisions.

Data Governance 130

Data Governance Data Discovery Data Quality Data Architecture 130

Dataversity

FEBRUARY 9, 2022

“Data Governance” is such an interesting term. As data started becoming more critical to business in the last few years, this idea was introduced to define the business processes necessary to comply with regulatory requirements.

Data Governance 130

Data Governance Government Data Discovery Data Quality 130

Data Pine

SEPTEMBER 27, 2022

You can also utilize data discovery tools to get additional insight into the importance of data and how to approach it. Getting your hands on genuine data that you can relate to is the most effective way to learn, and these best books on SQL will offer you the guidance you need for true practical success.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

ElegantJ BI

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. Self-Serve Data Prep in Action. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. Click to learn more about author Tejasvi Addagada.

Business Intelligence 147

Business Intelligence Business Intelligence Data Modelling Data Governance 147

Dataversity

AUGUST 2, 2021

Enterprise organizations evaluate several factors when choosing a data migration vendor. The post Discovery and Reporting: The Bread and Butter of Data Migration appeared first on DATAVERSITY. Click to learn more about author Daniel Esposito.

Data Discovery 130

Data Discovery Data Governance Data Quality Government 130

Dataversity

APRIL 7, 2021

It’s time-consuming – and often very costly – for enterprises to perform a network-attached storage (NAS) or object data migration. As moving unstructured data has proliferated over the past decade, with as much as 90% of all data defined as unstructured data, the task has become increasingly […].

Data Governance 130

Data Governance Data Discovery Data Quality Government 130

ElegantJ BI

JULY 18, 2016

Promote data and reports to IT provisioned/approved data sources, and identify IT provisioned approved data sources with clear watermarks to ensure balance between agility, governance and data quality. Now THAT would be a real data buffet, wouldn’t it? You (and your users) can have all that and more.

Data Discovery 130

Data Discovery Data Quality Government Visualization 130