Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration.

ML 133

ML ML Big Data Big Data 133

Flipboard

MAY 14, 2025

Amazon Q Business excels at handling unstructured data through more than 40 prebuilt connectors that integrate with platforms like Confluence, SharePoint, and Amazon Simple Storage Service (Amazon S3) enabling businesses to consolidate and interact with enterprise knowledge through a single, conversational interface.

AWS 143

AWS AI AI Database 143

AWS Machine Learning Blog

DECEMBER 29, 2022

The use of RStudio on SageMaker and Amazon Redshift can be helpful for efficiently performing analysis on large data sets in the cloud. However, working with data in the cloud can present challenges, such as the need to remove organizational data silos, maintain security and compliance, and reduce complexity by standardizing tooling.

AWS 138

AWS Machine Learning Machine Learning Natural Language Processing 138

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

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

IBM Journey to AI blog

APRIL 15, 2024

Organizations gain the ability to effortlessly modify and scale their data in response to shifting business demands, leading to greater agility and adaptability. This approach involves integrating both ingested data and data accessed through virtualization within the chosen platform.

Analytics 81

Analytics Analytics Data Silos AI 81

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

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Exploratory Data Analysis ML ML AI 72

IBM Data Science in Practice

APRIL 26, 2024

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. Understanding Data Fabric and IBM Knowledge Catalog A data fabric is an architectural blueprint that helps transcending traditional data silos and complexities.

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SQL Data Quality Data Governance Data Scientist 130

Dataconomy

APRIL 27, 2023

Conversely, OLAP systems are optimized for conducting complex data analysis and are designed for use by data scientists, business analysts, and knowledge workers. OLAP systems support business intelligence, data mining, and other decision support applications.

Database 159

Database Data Scientist Data Mining Data Mining 159

Tableau

APRIL 18, 2022

What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* Increase understanding of data sets on hand for data integration or data analysis.

Tableau 102

Tableau Data Quality Analytics Analytics 102

Tableau

APRIL 18, 2022

What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* Increase understanding of data sets on hand for data integration or data analysis.

Tableau 98

Tableau Data Quality Analytics Analytics 98

Pickl AI

DECEMBER 3, 2024

As businesses increasingly rely on data-driven strategies, the integration of GenAI tools has become essential for enhancing Data Analysis capabilities. Poor-quality data hampers decision-making and can result in significant financial losses.

Analytics 52

Analytics Analytics Data Quality AI 52

Cambridge Intelligence

DECEMBER 6, 2024

Register here Your presenters Brett Redman OSINT Expert, Blackdot Solutions Brett has extensive experience in data analysis, intelligence collection and strategic application of OSINT in both public and private sectors.

Data Silos 40

Data Silos Data Analysis Data Analysis Data Models 40

Dataversity

MARCH 28, 2022

According to estimates from IDC, 163 zettabytes of data will have been created worldwide by 2025. However, this data is not always useful to business leaders until it is organized to be of higher quality and reliability. Despite its importance to effective data analysis, most business leaders […].

Data Analysis 52

Data Analysis Data Analysis Data Silos Data Quality 52

IBM Journey to AI blog

OCTOBER 13, 2023

Even if business teams could access real-time events, little to no training in coding becomes yet another wall to climb in their efforts to perform data analysis. In addition, digital transformation initiatives have created the proliferation of applications, creating data siloes.

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Data Silos Data Analysis Data Analysis Algorithm 83

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Pickl AI

APRIL 24, 2023

It can help organisations make informed decisions, identify patterns and trends, and improve their operations Types of Cloud Analytics In a broader spectrum, cloud analytics includes all the analytical techniques utilised for data analysis. This makes it easier for the company to have a one-stop solution for all the data analysis.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 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

Pickl AI

DECEMBER 11, 2024

Efficiency emphasises streamlined processes to reduce redundancies and waste, maximising value from every data point. Common Challenges with Traditional Data Management Traditional data management systems often grapple with data silos, which isolate critical information across departments, hindering collaboration and transparency.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

phData

SEPTEMBER 1, 2023

This integration ability is particularly important because it allows companies to avoid the costly and time-consuming process of replacing everything in their current data lifecycle. By combining data from disparate systems, HCLS companies can perform better data analysis and make more informed decisions.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Ocean Protocol

APRIL 14, 2023

Evaluation Criteria The winner of the data report competition will be judged based on the following criteria: Data Analysis (50 points) Select five questions below to answer as part of your analysis. About Ocean Protocol Ocean Protocol is an ecosystem of open source data sharing tools for the blockchain.

Machine Learning 59

Machine Learning Machine Learning Data Silos Analytics 59

DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. Sitao Min is pursuing his Ph.D. at Rutgers University.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

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.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Precisely

JANUARY 25, 2023

Specifically, it said that “the [data management] methodology should ensure that the relationships are viewed holistically across lines of business.” Capital One was dealing with data silos that limited it to a disjointed view of its customers.

Data Quality 52

Data Quality Machine Learning Machine Learning Data Silos 52

Flipboard

FEBRUARY 12, 2025

Next year will also mark the early stages of a significant shift in how humans and AI work together, with agents evolving into workflow partners, taking initial steps toward independently navigating software environments and automating routine tasks from data analysis and report generation to schedule coordination and software testing.

AI 65

AI AI Data Silos Artificial Intelligence 65

phData

JULY 14, 2023

Snowflake’s Data Cloud revolutionizes data management by eliminating data silos and consolidating all your data into a unified repository. By leveraging Snowflake’s data-sharing capabilities , Zeta enables collaborative data analysis without physically moving or duplicating data.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52

Pickl AI

APRIL 14, 2023

In addition, it also defines the framework wherein it is decided what action needs to be taken on certain data. And so, a company dealing in Big Data Analysis needs to follow stringent Data Governance policies. Hence the significance of a well-defined governance strategy becomes fundamental for any organization.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

Pickl AI

OCTOBER 6, 2024

Common ELT Tools and Technologies Several tools and technologies have emerged to facilitate the ELT process, each offering unique features to optimise data integration. Some popular ELT tools include: Google BigQuery: A serverless data warehouse that enables efficient data analysis. When Should I Choose ETL Over ELT?

ETL 52

ETL Data Warehouse Data Quality Data Lakes 52

phData

DECEMBER 4, 2024

Innovation This new technology allows faster and more accurate data analysis, accelerating innovation. Research and development cycles can also be accelerated by experimenting with new materials and processes based on the feedback from AI models utilizing the data.

AI 52

AI AI Data Warehouse Data Quality 52

phData

AUGUST 11, 2023

Real-time data analysis could also detect irregular heartbeats that could save lives. How AI and ML Can Leverage the Data Warehouse Early detection using artificial intelligence and machine learning can assist in curing diseases quicker. Conclusion Data engineering in healthcare provides a plethora of opportunities.

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Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 16, 2024

Improved Decision-Making AIOps provides real-time insights and historical data analysis, empowering IT leaders to make data-driven decisions for optimizing IT infrastructure, resource allocation, and future investments. Scalability and Agility AIOps solutions are designed to handle large and growing volumes of data.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Alation

JULY 21, 2020

The post The Modern Data Catalog: ‘Mythbusting’ the Top Four Assumptions appeared first on Alation.

Data Silos 52

Data Silos Data Governance Data Analysis Data Analysis 52

Flipboard

MARCH 21, 2025

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems. Select the following options: Under CONNECTIONS , select Athena (Lakehouse).

SQL 141

SQL Data Analyst Data Warehouse AWS 141

Tableau

MAY 5, 2023

Tableau GPT lowers the barrier to data with generative AI Tableau GPT represents a game-changing innovation, leveraging the advanced capabilities of generative AI to simplify and democratize the process of data analysis.

Tableau 108

Tableau Analytics Analytics Data Analyst 108

Tableau

MAY 5, 2023

Tableau AI lowers the barrier to data with generative AI Tableau AI represents a game-changing innovation, leveraging the advanced capabilities of generative AI to simplify and democratize the process of data analysis.

Tableau 52

Tableau AI AI Analytics 52

Tableau

MAY 5, 2023

Tableau GPT lowers the barrier to data with generative AI Tableau GPT represents a game-changing innovation, leveraging the advanced capabilities of generative AI to simplify and democratize the process of data analysis.

Tableau 52

Tableau Analytics Analytics Data Analyst 52