Precisely

JULY 21, 2023

A large American financial services company specializing in retail and commercial banking, mortgages, student loans, and wealth management uses Confluent and Precisely to provide real-time data to customer channels, breaking down data silos and delivering a better customer experience.

Apache Kafka 52

Apache Kafka Data Silos Data Pipeline Analytics 52

Alation

DECEMBER 7, 2021

Do we have end-to-end data pipeline control? What can we learn about our data quality issues? How can we improve and deliver trusted data to the organization? One major obstacle presented to data quality is data silos , as they obstruct transparency and make collaboration tough. Unified Teams.

Data Quality 52

Data Quality Data Pipeline Data Silos Data Governance 52

The MLOps Blog

MAY 17, 2023

We also discuss different types of ETL pipelines for ML use cases and provide real-world examples of their use to help data engineers choose the right one. What is an ETL data pipeline in ML? Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

ETL 59

ETL Data Pipeline ML ML 59

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. It truly is an all-in-one data lake solution.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

IBM Journey to AI blog

JANUARY 5, 2023

What does a modern data architecture do for your business? A modern data architecture like Data Mesh and Data Fabric aims to easily connect new data sources and accelerate development of use case specific data pipelines across on-premises, hybrid and multicloud environments.

Data Quality 52

Data Quality Data Lakes Data Warehouse Business Intelligence 52

Dataversity

OCTOBER 25, 2023

We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights.

Data Quality 103

Data Quality Data Preparation Algorithm Data Silos 103

AWS Machine Learning Blog

MARCH 15, 2024

Duration of data informs on long-term variations and patterns in the dataset that would otherwise go undetected and lead to biased and ill-informed predictions. Breaking down these data silos to unite the untapped potential of the scattered data can save and transform many lives. Much of this work comes down to the data.”

AWS 96

AWS ML ML Data Silos 96

phData

SEPTEMBER 13, 2023

Third-Party Tools Third-party tools like Matillion or Fivetran can help streamline the process of ingesting Salesforce data into Snowflake. With these tools, businesses can quickly set up data pipelines that automatically extract data from Salesforce and load it into Snowflake.

Tableau 52

Tableau Data Pipeline Data Silos Analytics 52

phData

APRIL 18, 2023

This is due to a fragmented ecosystem of data silos, a lack of real-time fraud detection capabilities, and manual or delayed customer analytics, which results in many false positives. Snowflake Marketplace offers data from leading industry providers such as Axiom, S&P Global, and FactSet.

Data Silos 52

Data Silos ETL Clustering 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

Precisely

MARCH 4, 2024

To achieve trusted AI outcomes, you need to ground your approach in three crucial considerations related to data’s completeness, quality, and context. You need to break down data silos and integrate critical data from all relevant sources. Fuel your AI applications with trusted data to power reliable results.

AI 72

AI AI Data Quality Artificial Intelligence 72

phData

SEPTEMBER 15, 2023

Conclusion Integrating Salesforce data with Snowflake’s Data Cloud using Tableau CRM Sync Out can benefit organizations by consolidating internal and third-party data on a single platform, making it easier to find valuable insights while removing the challenges of data silos and movement.

Data Warehouse 52

Data Warehouse Tableau Data Silos Database 52

phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

phData

MARCH 26, 2024

Explore phData's Snowflake Services Closing Snowflake’s Hybrid tables are a powerful new feature that can help organizations break down data silos and bring transactional and analytical data together in one platform. Hybrid tables can streamline data pipelines, reduce costs, and unlock deeper insights from data.

Clustering 52

Clustering Internet of Things Data Silos Analytics 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. The challenge, of course, is the added complexity of data management that hinders the actual use of that data for better decisions, analysis and AI.

Data Governance 57

Data Governance Data Science AI AI 57

phData

NOVEMBER 9, 2023

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Alation

APRIL 19, 2022

Access the resources your data applications need — no more, no less. Data Pipeline Automation. Consolidate all data sources to automate pipelines for processing in a single repository. To learn more, request a free demo to see how Alation can help you modernize your data through cloud data migration.

Data Governance 52

Data Governance Cloud Data Database Data Silos 52