Dataconomy

MARCH 31, 2022

We are breaking new thresholds in managing data. Data silos, an institutional phenomenon, are still mushrooming in today’s increasingly connected and shared world focused on accessibility. Top companies are now busy breaking down data silos to. But getting rid of old habits is easier said than done.

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Dataversity

AUGUST 1, 2022

They must connect not only systems, data, and applications to each other, but also to their […]. The post Establishing Connections and Putting an End to Data Silos appeared first on DATAVERSITY.

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Flipboard

FEBRUARY 3, 2025

By Stuart Grant, Global GTM for Capital Markets, SAP According to a recent McKinsey study, data silos cost businesses an average of $3.1 Failing to leverage data properly is an eye wateringly expensive trillion annually in lost revenue and productivity. Thats a huge number. How much of it is yours?

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Dataversity

AUGUST 5, 2024

In the race to become data-driven, many enterprises are stumbling over an age-old hurdle: data silos. A recent study by IDC found that data silos cost the global economy a whopping $3.1 A report […] The post Breaking Down Data Silos for Digital Transformation Success appeared first on DATAVERSITY.

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Flipboard

NOVEMBER 18, 2024

For years, enterprise companies have been plagued by data silos separating transactional systems from analytical tools—a divide that has hampered AI applications, slowed real-time decision-making, and driven up costs with complex integrations. Today at its Ignite conference, Microsoft announced a …

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The Data Administration Newsletter

JUNE 20, 2023

Your company needs a system for effectively managing data. One of the great enemies of a good system is data silos. What are Data Silos? As your business develops, it gathers more and more data. […] Whether it be marketing, planning, or customer service, knowledge is power.

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Alation

OCTOBER 19, 2021

Although organizations don’t set out to intentionally create data silos, they are likely to arise naturally over time. This can make collaboration across departments difficult, leading to inconsistent data quality , a lack of communication and visibility, and higher costs over time (among other issues). What Are Data Silos?

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Hacker News

FEBRUARY 21, 2025

Going beyond data silos.

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Dataconomy

FEBRUARY 26, 2025

The AI system builds upon Ad2s Retail Media Network (RMN) 2.0 , launched in 2024, which helps brands leverage retail insights across multiple media channels to break down data silos and enhance audience segmentation.

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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.

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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.

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Dataconomy

NOVEMBER 19, 2024

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. Picnic simplifies medical records and provides actionable insights, enabling patients to make informed decisions.

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Dataconomy

OCTOBER 11, 2023

Delv AI: Pioneering AI solutions for data extraction Delv AI, at the core of this burgeoning firm, is on a quest to improve data extraction and say goodbye to data silos. Delv AI is an innovative AI-powered platform that specializes in enhancing data extraction processes.

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Smart Data Collective

MAY 31, 2022

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. Data activation is about giving businesses the power to make data serve them.

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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?

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Precisely

FEBRUARY 20, 2025

Thats where data integration comes in. Data integration breaks down data silos by giving users self-service access to enterprise data, which ensures your AI initiatives are fueled by complete, relevant, and timely information. Assessing potential challenges , like resource constraints or existing data silos.

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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. These initiatives will use the evolving capabilities provided by Amazon Bedrock to potentially incorporate advanced AI models and security features.

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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.

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Flipboard

JANUARY 7, 2025

Almost half of AI projects are doomed by poor data quality, inaccurate or incomplete data categorization, unstructured data, and data silos. Avoid these 5 mistakes

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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.

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Flipboard

NOVEMBER 22, 2024

Organizations often struggled with the following challenges: Discovering data assets scattered everywhere Enforcing consistent data policies and access controls Understanding data lineage and dependencies A lack of centralized data governance, leading to data silos, compliance issues, and inefficient data utilization Amazon DataZone solves these problems (..)

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Dataconomy

FEBRUARY 13, 2025

Capgemini : SAP Databricks will enable seamless data integration, maximizing AI-driven business benefits, said Niraj Parihar, CEO of insights and data global business line at Capgemini. EY : Connecting data across the enterprise unlocks transformative business opportunities, said Hugh Burgin, EY-Databricks alliance leader.

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Precisely

DECEMBER 16, 2024

Tool overload can lead to inefficiencies and data silos. If you rely on retrospective data, youre creating a lag in decision-making, which simply isnt good enough to stay ahead of security or operational disruptions. The difficulties faced by IT teams often boil down to three key issues: Data silos.

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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.

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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.

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IBM Journey to AI blog

OCTOBER 22, 2024

The data universe is expected to grow exponentially with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase pressure to manage cloud costs efficiently and complicate governance of AI and data workloads.

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IBM Journey to AI blog

MAY 9, 2024

Challenges in data governance for healthcare and how data lineage can help Data governance can help healthcare organizations maximize the accuracy and security of their data assets. Data quality issues Positive business decisions and outcomes rely on trustworthy, high-quality data.

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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.

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Dataconomy

FEBRUARY 25, 2025

Addressing data silos in procurement A key challenge in procurement is the fragmentation of data across different systems, hindering efficient decision-making. The Abi Agent for Microsoft Copilot aims to solve this by combining an organization’s internal procurement data (contracts, supplier negotiations, etc.)

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Dataconomy

OCTOBER 4, 2023

It also allows for decision-making by connecting existing data silos within organizations. Considering how quickly and often the business, regulatory, and social environment changes – all solutions in the ESG area must be characterized by high flexibility and adaptability.

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Dataconomy

OCTOBER 4, 2023

It also allows for decision-making by connecting existing data silos within organizations. The former enables data from different sources to be combined and integrated in real-time, providing flexibility. This allows them to fit perfectly into the specifics of a given enterprise, and not the other way around.

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Precisely

APRIL 3, 2025

A poorly managed archiving system can lead to compliance risks, data silos, and inefficiencies that slow down operations. Regulations continue to change, customer expectations continue to grow, and businesses must balance accessibility with security. In this blog, well look at the five best practices for digital archiving in 2025.

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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.

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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., In this post we discuss our research on federated learning , which aims to tackle this challenge by performing decentralized learning across private data silos.

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IBM Journey to AI blog

JANUARY 23, 2023

Ensure data quality Regularly check your data for accuracy and completeness. Break down data silos Data silos are the bane of any data governance program. Put processes in place to fix any issues that you find. Remember: garbage in, garbage out.

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The Data Administration Newsletter

NOVEMBER 20, 2024

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Key Examples of Data Quality Failures — […]

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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.

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