IBM Data Science in Practice

NOVEMBER 28, 2022

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Women in Big Data

FEBRUARY 1, 2023

She started as a Web Analyst and Online Marketing Manager, and discovered her passion for data, Big Data, data science and machine learning. She goes on to explain the one of the most beneficial features of One Data’s enabling technology, One Data Cartography , is record linkage combined with data quality.

Big Data 52

Big Data Big Data Data Silos Data Quality 52

IBM Journey to AI blog

JANUARY 17, 2023

The rapid growth of data continues to proceed unabated and is now accompanied by not only the issue of siloed data but a plethora of different repositories across numerous clouds. From there, it can be easily accessed via dashboards by data consumers or those building into a data product. Data science and MLOps.

Data Governance 58

Data Governance Data Science Data Silos AI 58

Pickl AI

JUNE 28, 2023

Understanding Data Integration in Data Mining Data integration is the process of combining data from different sources. Thus creating a consolidated view of the data while eliminating data silos. Data Quality: It provides mechanisms to cleanse and transform data.

Data Mining 52

Data Mining Data Mining Data Mining ETL 52

ODSC - Open Data Science

JULY 13, 2023

Instead of broadly applying their knowledge to all stores or customers, they must have a strategy to ensure data quality. A retailer must connect data silos across the entire organization for proper consolidation. Data analytics in the retail industry may solve many application issues.

Data Science 52

Data Science Machine Learning Machine Learning Data Silos 52

phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

Data Silos 52

Data Silos Database Data Quality Data Engineer 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. The data lake can then refine, enrich, index, and analyze that data.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

Pickl AI

DECEMBER 4, 2023

First, I will answer the fundamental question ‘What is Data Intelligence?’. What is Data Intelligence in Data Science? Wondering what is Data Intelligence in Data Science? In simple terms, Data Intelligence is like having a super-smart assistant for big companies. So, let’s get started.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Dataconomy

MARCH 29, 2023

It involves the creation of rules for collecting, storing, processing, and sharing data to ensure its accuracy, completeness, consistency, and security. Some key concepts related to data governance include: Data quality:  Ensuring that data is accurate, complete, and consistent.

Data Governance 70

Data Governance Data Analyst Data Quality Data Silos 70

Dataconomy

MARCH 29, 2023

It involves the creation of rules for collecting, storing, processing, and sharing data to ensure its accuracy, completeness, consistency, and security. Some key concepts related to data governance include: Data quality:  Ensuring that data is accurate, complete, and consistent.

Data Governance 70

Data Governance Data Analyst Data Quality Data Silos 70

Pickl AI

NOVEMBER 15, 2023

This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights. Elevate your Data Science skills and join Pickl.AI Join Pickl.AI

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Heartbeat

DECEMBER 7, 2023

What is Data Mesh? Data Mesh is a new data set that enables units or cross-functional teams to decentralize and manage their data domains while collaborating to maintain data quality and consistency across the organization — architecture and governance approach. We can call fabric texture or actual fabric.

Data Governance 52

Data Governance Deep Learning Deep Learning Data Quality 52

Pickl AI

JUNE 13, 2024

Here, we have highlighted the concerning issues like usability, data quality, and clinician trust. Data Quality The accuracy of CDSS recommendations hinges on the quality of patient data fed into the system. This can create data silos and hinder the flow of information within a healthcare organization.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Pickl AI

JULY 16, 2024

Here’s what you need to consider: Data integration: Ensure your data from various IT systems (applications, networks, security tools) is integrated and readily accessible for AIOps tools to analyze. This might involve data cleansing and standardization efforts.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

APRIL 3, 2025

By analyzing their data, organizations can identify patterns in sales cycles, optimize inventory management, or help tailor products or services to meet customer needs more effectively. The company aims to integrate additional data sources, including other mission-critical systems, into ODAP.

AWS 71

AWS Data Governance Data Silos SQL 71

Precisely

JANUARY 23, 2024

The report concluded that there are reliable, data-driven reasons why companies should invest in building or maturing their data governance programs. The topmost value-generating benefit, according to respondents with mature programs, is the ability of such initiatives to strengthen overall data quality.

Data Governance 69

Data Governance Data Quality Analytics Analytics 69

phData

NOVEMBER 13, 2023

Enhanced Collaboration: dbt Mesh fosters a collaborative environment by using cross-project references, making it easy for teams to share, reference, and build upon each other’s work, eliminating the risk of data silos. The semantic models are defined in the model’s.yml configuration file.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Alation

OCTOBER 12, 2021

In enterprises especially, which typically collect vast amounts of data, analysts often struggle to find, understand, and trust data for analytics reporting. Immense volume leads to data silos, and a holistic view of the business becomes more difficult to achieve. Evaluate and monitor data quality.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Dataconomy

APRIL 6, 2023

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

Data Governance 118

Data Governance Data Silos Data Analysis Data Analysis 118

Dataconomy

APRIL 6, 2023

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

Data Governance 70

Data Governance Data Silos Data Analysis Data Analysis 70

Pickl AI

DECEMBER 3, 2024

By leveraging GenAI, businesses can personalize customer experiences and improve data quality while maintaining privacy and compliance. Introduction Generative AI (GenAI) is transforming Data Analytics by enabling organisations to extract deeper insights and make more informed decisions.

Analytics 52

Analytics Analytics Data Quality AI 52