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. This article provides a summary discussion of some of the important factors involved in the consideration of an advanced analytical solution implementation.

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. This article provides a summary discussion of some of the important factors involved in the consideration of an advanced analytical solution implementation.

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

Augmented analytics (according to Gartner, which would know), uses technologies “such as machine learning [ML] and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms.”

Artificial Intelligence 98

Artificial Intelligence Data Modelling Cloud Computing Data Discovery 98

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 Discovery Data Governance Data Quality 246

GAVS Technology

JUNE 2, 2021

As it is key for the enterprise data management strategy, let us understand more about the details of data fabric in this article. What is Data Fabric? Today’s enterprise data stores and data volumes are growing rapidly. Data Fabric Players.

Healthcare 52

Healthcare Data Governance Government Data Mining 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)? Management of all enterprise data, including master data.

Data Management 52

Data Management Master Data Management Data Quality Government 52

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

The BAWorld

NOVEMBER 28, 2021

Data wrangling and exploratory analysis are part of data science and play an important role in the data analysis process as they help in properly structuring the data through data detection, data cleaning, data summarizing, etc. . What is Exploratory Data Analysis? Discovering. Structuring.

Visualization 52

Visualization Data Visualization Data Discovery Data Quality 52

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 Discovery Data Modelling 147

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 Discovery 130

Data Discovery Data Governance Data Quality Data Architecture 130

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 Discovery 130

Data Discovery Data Governance Data Quality Government 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

Astera

MAY 30, 2024

Variety : Data comes in all formats – from structured, numeric data in traditional databases to emails, unstructured text documents, videos, audio, financial transactions, and stock ticker data. Veracity: The uncertainty and reliability of data. Veracity addresses the trustworthiness and integrity of the data.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Data Pine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. So, what is data discovery?

Data Discovery 64

Data Discovery Visualization Data Visualization Business Intelligence 64

Dataversity

SEPTEMBER 12, 2024

You want to implement data democratization, so you deployed all the new tooling and data infrastructure. You have a data catalog to manage metadata and ensure data lineage and a data marketplace to enable data discovery and self-service analytics.

Data Discovery 290

Data Discovery Data Management Data Governance Data Quality 290

Data Pine

DECEMBER 4, 2019

We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Predictive & Prescriptive Analytics.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Astera

AUGUST 28, 2024

Big data and the need for quickly analyzing large amounts of data have led to the development of various tools and platforms with a long list of features. However, with the abundance of different types of data analysis tools in the market, what was supposed to be a simple task has become a complex undertaking.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Dataversity

NOVEMBER 27, 2023

However, making the right data available to the right people at the right time is becoming more and more challenging. While the ability to perform analytics on huge volumes of data is beefing up […] The post 7 Data Democratization Trends to Watch appeared first on DATAVERSITY.

Data Discovery 173

Data Discovery Data Governance Data Quality Data Security 173

Astera

DECEMBER 6, 2024

They are trained using large, high-quality datasets with billions and billions of words from books, websites, articles, and other online sources of text. LLMs can simplify complex data integration processes by crafting data mapping suggestions, or identifying schema mismatches when consolidating data from multiple sources.

Documentation 52

Documentation E-Commerce Artificial Intelligence Data Warehouse 52