Tableau

SEPTEMBER 14, 2021

With data-driven organizations, employees possess a data-oriented mindset and confidence in applying analytical insights. They have access to trusted, live data sources and use data often as they experiment, test, innovate, and learn. Eliminate business and data silos to increase collaboration.

Tableau 105

Tableau Analytics Analytics Data Silos 105

AWS Machine Learning Blog

DECEMBER 29, 2022

Many of the RStudio on SageMaker users are also users of Amazon Redshift , a fully managed, petabyte-scale, massively parallel data warehouse for data storage and analytical workloads. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

AWS 138

AWS Machine Learning Machine Learning Database 138

Tableau

SEPTEMBER 14, 2021

With data-driven organizations, employees possess a data-oriented mindset and confidence in applying analytical insights. They have access to trusted, live data sources and use data often as they experiment, test, innovate, and learn. Eliminate business and data silos to increase collaboration.

Tableau 98

Tableau Analytics Analytics Data Silos 98

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

IBM Journey to AI blog

JULY 3, 2024

Open is creating a foundation for storing, managing, integrating and accessing data built on open and interoperable capabilities that span hybrid cloud deployments, data storage, data formats, query engines, governance and metadata. Trusted, governed data is essential for ensuring the accuracy, relevance and precision of AI.

Data Quality 45

Data Quality AI AI Database 45

IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

Precisely

OCTOBER 19, 2023

It combines internal, external, and third-party data for analysis and visualization while considering the geographical context in which data is collected. Spatial analytics solutions make it easy to combine, organize, manage, and query data from across data silos. Ready to Get Started with Spatial Analytics?

Analytics 64

Analytics Analytics Data Silos Data Visualization 64

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. It often serves as a source for Data Warehouses.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS 93

AWS Database ETL AI 93

Alation

APRIL 12, 2022

Many companies have tasked their CDOs with enabling business users to perform their own analytics. Even when users are well versed in their preferred business intelligence (BI) tool, however, finding and accessing the right data assets continues to represent a key hurdle. Reducing Data Silos.

Data Quality 52

Data Quality Data Governance Data Silos Analytics 52

phData

FEBRUARY 13, 2024

Employing a modular structure, SAP ERP encompasses modules such as finance, human resources, supply chain , and more, facilitating real-time collaboration and data sharing across different departments through a centralized database. Example Solution Here is a high-level overview of how the solution works.

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Analytics Analytics Data Scientist Data Modeling 59

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

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Alation

JUNE 28, 2022

With a metadata management framework, your data analysts: Optimize search and findability: Create a single portal using role-based access for rapid data access based on job function and need. Establish business glossaries: Define business terms and create standard relationships for data governance.

Data Governance 52

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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. Why Do You Need an Enterprise Analytics Strategy?

Analytics 52

Analytics Analytics Data Governance DataOps 52

IBM Journey to AI blog

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

In today’s digital world, data is king. Organizations that can capture, store, format, and analyze data and apply the business intelligence gained through that analysis to their products or services can enjoy significant competitive advantages. But, the amount of data companies must manage is growing at a staggering rate.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

Alation

JUNE 7, 2023

Airlines Reporting Corporation (ARC) used self-service data access as a way to accelerate time-to-market for new products. It also sells business intelligence and other data products to travel industry customers, and with over 50 years’ worth of data, they have a lot of insights to offer.

Data Silos 52

Data Silos Data Lakes Data Governance Business Intelligence 52

Alation

APRIL 7, 2021

The cloud unifies a distributed data landscape. This is critical for breaking down data silos in a complex data environment. Enterprises can reduce complexity by providing data consumers with one central location to access and manage data from the cloud. Broad, Deep Connectivity.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

Dataversity

NOVEMBER 10, 2021

Data is generated and collected at each one of these – and numerous other – touchpoints. The post 4 Key Steps to Using Customer Data More Effectively appeared first on DATAVERSITY. Customers now interact with brands in a variety of ways. But many companies do not know […].

Data Silos 95

Data Silos Business Intelligence Business Intelligence Analytics 95

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

IBM Journey to AI blog

SEPTEMBER 5, 2024

Regularly reviewing the framework and adjusting it based on feedback, new regulations or changes in business strategy fosters a culture that values data as a strategic asset, supporting effective business intelligence and data use across the organization.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

phData

FEBRUARY 27, 2024

This simplicity can be advantageous for small to medium-sized businesses with straightforward data requirements and businesses new to Snowflake. Establish data governance guidelines. Define clear data governance guidelines to ensure data consistency, integrity, and security across multiple accounts.

Database 52

Database Data Governance Data Silos Data Warehouse 52

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 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. Tableau (beta) Google Sheets (beta) Hex Klipfolio PowerMetrics Lightdash Mode Push.ai

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Pickl AI

DECEMBER 10, 2024

Unified Data Fabric Unified data fabric solutions enable seamless access to data across diverse environments, including multi-cloud and on-premise systems. These solutions break down data silos, making it easier to integrate and analyse data from various sources in real-time.

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

Pickl AI

DECEMBER 4, 2023

Marketing Targeted Campaigns Increases campaign effectiveness and ROI Data silos leading to inconsistent information. Implementing integrated data management systems. Business Intelligence Analyst Focuses on transforming raw data into actionable business insights to support strategic decision-making.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

The MLOps Blog

MAY 17, 2023

These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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ETL Data Pipeline ML ML 59

Flipboard

DECEMBER 4, 2024

Currently, organizations often create custom solutions to connect these systems, but they want a more unified approach that them to choose the best tools while providing a streamlined experience for their data teams. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

Data Lakes 135

Data Lakes Data Warehouse AWS Database 135

Alation

JULY 12, 2022

Utilize A Data Catalog To Classify and Label Data. All the applications and workloads you move to the cloud use data. If you have on-premises data silos, then you want to make sure that your data migration doesn’t lead to a budget overrun. How Alation Supports On-Premises to Cloud Migration.

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Cloud Data Data Warehouse Database Machine Learning 52

Dataconomy

MARCH 18, 2025

Additionally, advanced data management practices and the appropriate tools are necessary to facilitate seamless data integration and analysis. Considerations for a modern IT environment To harness the full potential of continuous intelligence, organizations need to eliminate data silos that hinder data sharing and collaboration.

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Machine Learning Machine Learning Data Analysis Data Analysis 91

Dataconomy

APRIL 16, 2025

This modular approach allows businesses to assemble tools and techniques that perfectly fit their specific needs, rather than relying on less flexible monolithic systems. Composable analytics refers to an agile, adaptable framework for data analytics that allows users to create customized analytical environments using modular components.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

AWS Machine Learning Blog

DECEMBER 3, 2024

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems.

AWS 103

AWS Database Data Silos Data Lakes 103

Precisely

FEBRUARY 17, 2025

Much of my career has been spent building data to accurately locate addresses for business intelligence (at GDT and Pitney Bowes) or navigation (at Tele Atlas and TomTom). But as I said, managing addressing is just the start of understanding serviceability and market opportunity.

Data Silos 59

Data Silos Business Intelligence Business Intelligence Database 59

Pickl AI

APRIL 8, 2025

Types of Dimensions in Data Warehouse include conformed, role-playing, slowly changing, junk, and degenerate dimensions. Each type serves a specific purpose in organizing and analysing data for effective business intelligence, ensuring consistency, historical accuracy, and simplified queries.

Data Warehouse 52

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