Dataconomy

NOVEMBER 19, 2024

Picnic simplifies medical records and provides actionable insights, enabling patients to make informed decisions. By integrating health data from any U.S. care site, Picnic breaks down data silos and makes it easier to navigate a complex healthcare system.

AI 91

AI AI Data Silos Artificial Intelligence 91

Flipboard

JUNE 5, 2023

True data quality simplification requires transformation of both code and data, because the two are inextricably linked. Code sprawl and data siloing both imply bad habits that should be the exception, rather than the norm.

Data Quality 121

Data Quality Data Silos Big Data Big Data 121

Dataversity

AUGUST 4, 2023

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360.

Data Silos 98

Data Silos Data Governance Data Quality 98

Dataversity

FEBRUARY 6, 2023

Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently.

Data Silos 52

Data Silos Data Quality Cloud Data 52

IBM Journey to AI blog

MAY 9, 2024

Understanding data governance in healthcare The need for a strong data governance framework is undeniable in any highly-regulated industry, but the healthcare industry is unique because it collects and processes massive amounts of personal data to make informed decisions about patient care. The consequence?

Data Governance 91

Data Governance Data Silos Data Quality Predictive Analytics 91

Dataversity

MAY 26, 2021

organizations that seek to establish and enhance their intelligence need to outline processes that will enable scalable and informed decisions that can quantify uncertainty and reduce risk. The post Make Informed Decisions and Better Data Outcomes Will Follow appeared first on DATAVERSITY.

Augmented Analytics 52

Augmented Analytics Data Silos Analytics Analytics 52

Dataversity

AUGUST 2, 2024

In today’s digital age, vast amounts of business data are gathered from different sources. Even when organizations strategically invest in analytics tools, they still face challenges in the form of data silos, unstructured data management, and failure of business-driven insights from tools.

Data Silos 52

Data Silos AI AI Analytics 52

Dataversity

JANUARY 5, 2024

The average enterprise IT organization is managing petabytes of file and object data. This has resulted in high costs for data storage and protection, growing security risks from shadow IT and too many data silos, and the desire to leverage […] The post Unstructured Data Management Predictions for 2024 appeared first on DATAVERSITY.

Data Silos 59

Data Silos Cloud Data AI AI 59

ODSC - Open Data Science

APRIL 28, 2023

As critical data flows across an organization from various business applications, data silos become a big issue. The data silos, missing data, and errors make data management tedious and time-consuming, and they’re barriers to ensuring the accuracy and consistency of your data before it is usable by AI/ML.

ML 98

ML ML Data Silos AI 98

Smart Data Collective

MAY 31, 2022

Data activation is a new and exciting way that businesses can think of their data. It’s more than just data that provides the information necessary to make wise, data-driven decisions. It’s more than just allowing access to data warehouses that were becoming dangerously close to data silos.

ETL 135

ETL Data Silos Data Warehouse Big Data 135

Smart Data Collective

SEPTEMBER 27, 2022

Now is the time for companies deploying limited tools to consider switching to cloud-based data storage and powerful product planning tools. Data silos have become one of the biggest restraints with using linear manufacturing processes. Does the platform eliminate your data silos into one accessible source of truth?

Data Silos 120

Data Silos Internet of Things Data Visualization Analytics 120

Precisely

AUGUST 8, 2024

As your business applications grow, so do fragmented data silos that hold you back. How confident are you that your data management practices are up to the task of supporting your evolving objectives? MDM: The Answer to Data Chaos Imagine managing a sprawling organization where each department operates with its own datasets.

Data Silos 52

Data Silos Data Quality 52

Dataconomy

SEPTEMBER 23, 2024

Collecting huge amounts of information can result in violations of data privacy regulations like GDPR, which demand strict user consent and control over personal data. It can also overwhelm systems and lead to poor data management, making it harder to extract actionable insights.

Data Lakes 103

Data Lakes Data Silos Analytics Analytics 103

Precisely

AUGUST 12, 2024

Data silos Limited integration capabilities Fragmented communications Workflow problems Limited scalability The fact is, your legacy systems can create great risks for your business. For example: Data silos prevent different departments from sharing vital customer information, leading to disjointed and impersonal customer interactions.

Data Silos 52

Data Silos Artificial Intelligence Artificial Intelligence ML 52

Tableau

OCTOBER 7, 2024

Spencer Czapiewski October 7, 2024 - 9:59pm Madeline Lee Product Manager, Technology Partners Enabling teams to make trusted, data-driven decisions has become increasingly complex due to the proliferation of data, technologies, and tools.

Tableau 137

Tableau Data Quality Analytics Analytics 137

Precisely

SEPTEMBER 12, 2023

As a proud member of the Connect with Confluent program , we help organizations going through digital transformation and IT infrastructure modernization break down data silos and power their streaming data pipelines with trusted data. Let’s cover some additional information to know before attending.

Data Silos 52

Data Silos Apache Kafka Data Pipeline Data Quality 52

ODSC - Open Data Science

JANUARY 17, 2024

Crucially, many are unprepared for the demands of information management, leading to ongoing issues. Proper data governance is crucial for long-term success. Common Smart City Data Governance Challenges Smart city data governance is the practice of managing the information generated by smart infrastructure.

Data Governance 52

Data Governance Data Silos Internet of Things Data Science 52

IBM Journey to AI blog

OCTOBER 18, 2024

Leading solutions in this space provide AI-powered capabilities and scalable architecture, helping businesses stay agile, adapt quickly and make informed decisions based on real-time data. Strong integration capabilities ensure smooth data flow between departments, eliminating data silos. Flexibility is key.

Data Silos 110

Data Silos Analytics Analytics AI 110

Precisely

NOVEMBER 13, 2024

Challenges around data literacy, readiness, and risk exposure need to be addressed – otherwise they can hinder MDM’s success Businesses that excel with MDM and data integrity can trust their data to inform high-velocity decisions, and remain compliant with emerging regulations. Today, you have more data than ever.

Data Silos 64

Data Silos Data Observability Data Governance Data Quality 64

Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. This open format allows for seamless storage and retrieval of data across different databases.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

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

Precisely

SEPTEMBER 8, 2023

million in fines for violations of the General Data Protection Regulation (GDPR). They can be confident that they know where personal data is stored, how it is used, who is using it, and who is responsible. Because of this exponential increase, organizations need automated data quality metrics to support data governance.

Data Governance 52

Data Governance Data Quality Data Silos Big Data 52

AWS Machine Learning Blog

MARCH 15, 2024

This approach can help heart stroke patients, doctors, and researchers with faster diagnosis, enriched decision-making, and more informed, inclusive research work on stroke-related health issues, using a cloud-native approach with AWS services for lightweight lift and straightforward adoption. Much of this work comes down to the data.”

AWS 124

AWS ML ML Data Silos 124

ML @ CMU

MAY 12, 2023

Unfortunately, while this data contains a wealth of useful information for disease forecasting, the data itself may be highly sensitive and stored in disparate locations (e.g., learning across large networks of devices such as mobile phones), the area of cross-silo FL (e.g., of people became infected in the final week.

Data Silos 130

Data Silos Algorithm ML ML 130

Precisely

JULY 12, 2024

Location intelligence : Make data more actionable by adding a layer of richness and complexity to it with location insight and analytics. Data enrichment : Add context, nuance, and meaning to internal data by enriching it with data from external sources. How does data integrity impact business outcomes?

Data Quality 105

Data Quality Data Governance Database Analytics 105

Alation

APRIL 13, 2021

Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

Data Governance 98

Data Governance Data Silos Data Quality 98

Alation

MARCH 29, 2022

Historian Richard Millar Devens first used the term to describe the machinations of banker Sir Henry Furnese, who collected information and acted on it quickly to outsmart his competition. Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first.

Business Intelligence 96

Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

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? What is big data in the travel and tourism industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

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 can involve techniques like network segmentation to reduce congestion or using faster protocols like UDP for certain data types.

Analytics 85

Analytics Analytics Data Silos AI 85

Ocean Protocol

DECEMBER 11, 2023

About Ocean Protocol Ocean Protocol is a decentralized data-sharing ecosystem spearheading the movement to unlock a New Data Economy, break down data silos, and open access to quality data. This has many applications, from decentralized marketplaces to peer-to-peer platforms and AI-generated art.

Data Silos 105

Data Silos Data Science AI AI 105

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.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

Precisely

JUNE 2, 2023

As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. Data Integrity Is a Business Imperative As the number of data tools and platforms continues to grow, the amount of data silos within organizations grow too.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

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

Precisely

AUGUST 19, 2024

These elements are divided into five main domains: Party master data: Everyone who interacts with the business and their relationship with it, including prospects, customers, suppliers, vendors, and employees. Reference master data: List of values that provide context to master and transactional information.

Data Silos 72

Data Silos Data Governance Analytics Analytics 72

AWS Machine Learning Blog

MARCH 15, 2024

With increased access to data, ML has the potential to provide unparalleled business insights and opportunities. However, the sharing of raw, non-sanitized sensitive information across different locations poses significant security and privacy risks, especially in regulated industries such as healthcare.

AWS 120

AWS ML ML Machine Learning 120

Precisely

JANUARY 17, 2023

Data integrity trends for 2023, has agility toping the list of success factors for most firms, as business leaders focus on rapid time to value and an emphasis on responding quickly to emerging opportunities and threats. With these goals in mind, access to accurate, consistent, and contextual information is critical.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

phData

MAY 25, 2023

In the modern digital-industrial world, manufacturing companies generate vast quantities of data on a daily basis, encompassing logistics records, inventory information, supplier data and more. With the advent of IoT devices in the manufacturing industry, supply chain data is as diverse and complex as it’s ever been.

Data Silos 52

Data Silos System Architecture Cloud Data Data Analyst 52