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 80

Data Quality Data Silos Big Data Big Data 80

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 Data Science 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.

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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.

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ETL Data Silos Data Warehouse Big Data 134

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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Data Silos Internet of Things Data Visualization Analytics 118

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.

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Data Silos Apache Kafka Data Pipeline Data Quality 52

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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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.

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Data Governance Data Quality Data Silos Big Data 52

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.

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Data Silos Data Science AI AI 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.

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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

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.

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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.

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Apache Kafka Data Silos Data Pipeline Analytics 52

ODSC - Open Data Science

JULY 13, 2023

While gathering operational and consumer information can benefit businesses, they often face obstacles. Some of the top data challenges in the retail industry involve collection and application. Gathering massive amounts of information can be relatively easy, but properly utilizing it can be complex, leading to these data challenges.

Data Science 52

Data Science Machine Learning Machine Learning Data Silos 52

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.

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Dataversity

JANUARY 25, 2024

quintillion bytes of data every day, one reality is clear – we’re surrounded by a sea of information. While this abundance of data presents immense opportunities, businesses often struggle to fully capitalize on its potential for informed decision-making and strategic insights. In a world generating 3.5 Consider this.

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Precisely

FEBRUARY 12, 2024

Despite that fact, valuable data often remains locked up in various silos across the organization. Specialized audiences may have access to it, but the organization lacks the necessary mechanisms to share that information across the enterprise. This shortfall in effective data governance inhibits visibility and transparency.

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Dataversity

AUGUST 7, 2023

In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.

Data Silos 98

Data Silos Data Quality Cloud Data Analytics 98

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?

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IBM Journey to AI blog

JANUARY 25, 2023

While operational data runs day-to-day business operations, gaining insights and leveraging data across business processes and workflows presents a well-known set of data governance challenges that technology alone cannot solve. Silos exist naturally when data is managed by multiple operational systems.

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Data Governance Data Silos Data Quality Analytics 52

AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The cost associated with training models on recent data is high.

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Smart Data Collective

JUNE 3, 2019

Big Data’s promise of value in the financial services industry is particularly differentiating. With no physical products to offer, the data, the source of the information – is without a doubt one of its most important assets. quintillion bytes of data are created every day. They show statistics that 2.5

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IBM Journey to AI blog

OCTOBER 13, 2023

This creates a domino effect: if your product teams are unable to access this pricing information in real-time, marketing strategy teams might then struggle to provide up-to-date messaging to potential customers. You were unaware of this since the supply chain teams only provide this information in quarterly reports.

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Ocean Protocol

FEBRUARY 1, 2023

The same dataset can also be used through Compute-to-Data by the algorithm of your choice at the following address. For information on the challenge and how to participate, read more here: [link] This challenge is hosted on DesightsAI. Chat with us in our Discord, via our dedicated #data-challenges channel.

Algorithm 52

Algorithm Data Silos Data Scientist 52

Tableau

OCTOBER 14, 2021

IT faces hurdles in equipping people with the necessary insights to solve strategic problems quickly and act in their customers’ best interests; likewise, business units can struggle to find the right data when it’s needed most. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.

Data Governance 93

Data Governance Tableau Analytics Analytics 93

Alation

OCTOBER 5, 2021

The situation worsens when each employee performs these calculations in standalone none-systematic solutions that are not synced or disconnected from the company’s centralized information hub. Roadblock #3: Silos Breed Misunderstanding. A data silo is an island of information that does not connect with other islands.

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Data Governance Data Quality Data Silos Analytics 96

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 124

ML ML Big Data Big Data 124

Tableau

OCTOBER 14, 2021

IT faces hurdles in equipping people with the necessary insights to solve strategic problems quickly and act in their customers’ best interests; likewise, business units can struggle to find the right data when it’s needed most. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.

Data Governance 71

Data Governance Tableau Analytics Analytics 71

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. Is there competition close by?

Analytics 64

Analytics Analytics Data Silos Clustering 64

Dataversity

APRIL 23, 2021

Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. It’s outdated, it’s clunky, and it was built for a different era. […].

Database 90

Database Data Lakes Data Silos Data Governance 90

Alation

DECEMBER 7, 2021

With this integration, organizations can fully harness the power of their metadata to maintain pristine data pipelines and serve high quality data to a broader range of users. 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

Alation

APRIL 27, 2023

It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita. Concerns about an unmanageable explosion of data silos , inconsistent data quality , and multiple versions of universal data that should be common to all domains, are justified. master data?

Data Warehouse 52

Data Warehouse Data Silos Data Governance Data Quality 52

Pickl AI

APRIL 24, 2023

Hence, such platforms ensure seamless data processing and analysis without any time lag or faults. 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.

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Analytics Analytics Data Analysis Data Analysis 52

IBM Journey to AI blog

JANUARY 15, 2024

It introduced Robotic Process Automation (RPA) in pilot scenarios to swiftly enhance process efficiency and quality, integrating system resources cost-effectively and breaking data silos.

Data Silos 73

Data Silos AI AI Artificial Intelligence 73

Dataversity

DECEMBER 14, 2020

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

DataOps 59

DataOps Data Pipeline Data Warehouse Big Data 59

Alation

APRIL 27, 2023

It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita. Concerns about an unmanageable explosion of data silos , inconsistent data quality , and multiple versions of universal data that should be common to all domains, are justified. master data?

Data Warehouse 40

Data Warehouse Data Silos Data Governance Data Quality 40