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 Data Quality 98

Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Does the quality of this dataset meet user expectations?

Data Quality 52

Data Quality Data Pipeline Data Silos Data Governance 52

IBM Data Science in Practice

NOVEMBER 28, 2022

As organizations steer their business strategies to become data-driven decision-making organizations, data and analytics are more crucial than ever before. How can organizations get a holistic view of data when it’s distributed across data silos? Implementing a data fabric architecture is the answer.

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Data Pipeline Data Quality Data Preparation Data Governance 130

IBM Journey to AI blog

OCTOBER 22, 2024

Indeed, IDC has predicted that by the end of 2024, 65% of CIOs will face pressure to adopt digital tech , such as generative AI and deep analytics. The ability to effectively deploy AI into production rests upon the strength of an organization’s data strategy because AI is only as strong as the data that underpins it.

Data Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

IBM Journey to AI blog

MAY 9, 2024

Conversely, confidence in the accuracy and consistency of your data can minimize the risk of adverse health outcomes, rather than merely reacting to or causing them. Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients. These errors are crucial and can occur daily.

Data Governance 85

Data Governance Data Silos Data Quality Predictive Analytics 85

Precisely

JANUARY 17, 2023

Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency. IoT devices provide data feeds from smart machinery, monitoring the location and condition of shipping containers and reporting on the health and safety of workers in the field.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Tableau

APRIL 18, 2022

What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* Analytics data catalog. Data quality and lineage. Augmented analytics.

Tableau 102

Tableau Data Quality Analytics Analytics 102

Tableau

APRIL 18, 2022

What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* Analytics data catalog. Data quality and lineage. Augmented analytics.

Tableau 98

Tableau Data Quality Analytics Analytics 98

IBM Journey to AI blog

JANUARY 23, 2023

Simply put, data governance is the process of establishing policies, procedures, and standards for managing data within an organization. It involves defining roles and responsibilities, setting standards for data quality, and ensuring that data is being used in a way that is consistent with the organization’s goals and values.

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Data Governance Data Silos Data Quality AI 74

Precisely

FEBRUARY 12, 2024

For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. Despite that fact, valuable data often remains locked up in various silos across the organization.

Data Governance 64

Data Governance Analytics Analytics Machine Learning 64

Alation

MARCH 21, 2023

For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Alation

OCTOBER 5, 2021

Why is your data governance strategy failing? According to the Gartner report, The State of Data and Analytics Governance Is Worse Than You Think , approximately 80% of businesses readily acknowledge that high-quality data governance is essential to achieving long-term business goals, objectives, and outcomes.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

Precisely

JUNE 26, 2023

Forward-thinking businesses invest in digital transformation, cloud adoption, advanced analytics and predictive modeling, and supply chain resiliency. 2023 Data Integrity Trends & Insights Results from a Survey of Data and Analytics Professionals Read the report Here are some of the top takeaways that stood out to panelists.

Data Quality 52

Data Quality Data Silos Data Governance Analytics 52

Precisely

SEPTEMBER 8, 2023

For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business. In the meantime, data quality and overall data integrity suffer from neglect.

Data Governance 52

Data Governance Data Quality Data Silos Big Data 52

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. Insufficient skills, limited budgets, and poor data quality also present significant challenges.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

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. Book your meeting with us at Confluent’s Current 2023. See you in San Jose!

Data Silos 52

Data Silos Apache Kafka Data Pipeline Data Quality 52

IBM Journey to AI blog

JULY 3, 2024

This allows for easier integration with your existing technology investments while eliminating data silos and accelerating data-driven transformation. The following four components help build an open and trusted data foundation.

AI 45

AI AI Data Quality Database 45

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.

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AWS Database ETL AI 93

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.”

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AWS ML ML Data Silos 119

Precisely

AUGUST 22, 2024

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and contextual data analytics and operations. In this model, data ownership remains with the domain teams.

Data Governance 69

Data Governance Data Silos Analytics Analytics 69

Precisely

SEPTEMBER 26, 2024

Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. Building data literacy across your organization empowers teams to make better use of AI tools. The impact?

AI 75

AI AI Data Governance Data Quality 75

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.

Data Governance 52

Data Governance Data Silos Data Quality Analytics 52

Precisely

MAY 16, 2024

Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. Adopt strategic practices in data integration, quality management, governance, spatial analytics, and data enrichment.

AI 69

AI AI AWS Data Quality 69

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Pickl AI

OCTOBER 6, 2024

This phase is crucial for enhancing data quality and preparing it for analysis. Transformation involves various activities that help convert raw data into a format suitable for reporting and analytics. Normalisation: Standardising data formats and structures, ensuring consistency across various data sources.

ETL 52

ETL Data Warehouse Data Quality Data Lakes 52

Precisely

FEBRUARY 2, 2023

With trend indicators shifting from traditional metrics to something new, executives need to consult analytics and dashboards much more frequently. Having the data and proper analysis to support adjustments to strategies two weeks quicker can have a significant impact on the future.

Data Pipeline 52

Data Pipeline Data Silos Database Data Observability 52

IBM Journey to AI blog

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

Data Pipeline 85

Data Pipeline ETL SQL Database 85

Pickl AI

DECEMBER 4, 2023

What is Data Intelligence with an example? So, what is Data Intelligence with an example? For example, an e-commerce company uses Data Intelligence to analyze customer behavior on their website. Technologies, tools, and methodologies Imagine Data Intelligence as a toolbox filled with gadgets for every analytical need.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. 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. Start a trial.

Data Governance 58

Data Governance Data Science AI AI 58

Alation

MARCH 28, 2023

These cover managing and protecting cloud data, migrating it securely to the cloud, and harnessing automation and technology for optimised data management. Central to this is a uniform technology architecture, where individuals can access and interpret data for organisational benefit.

Data Silos 52

Data Silos Cloud Data Data Quality Data Governance 52

Pickl AI

NOVEMBER 15, 2023

Importance of Data Lakes Data Lakes play a pivotal role in modern data analytics, providing a platform for Data Scientists and analysts to extract valuable insights from diverse data sources. With all data in one place, businesses can break down data silos and gain holistic insights.

Data Lakes 52

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Precisely

JULY 18, 2024

While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized data governance, and self-service access by consumers. Increase metadata maturity.

Data Lakes 52

Data Lakes Data Warehouse Data Governance Machine Learning 52

Pickl AI

APRIL 14, 2023

Tools and Technologies It includes tools like metadata management systems that support data processes and standards. It ensures the safe storage of data. Moreover, it can also be merged with the self-service Data Analytics Tools, thus, allowing Analysts to query and analyze various data sets for reporting and innovation initiatives.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

ODSC - Open Data Science

JULY 13, 2023

Because producing valuable insights out of unstructured information is one of the top data challenges, businesses need a way to analyze their collections. Data analytics in the retail industry may be the solution. A retailer must connect data silos across the entire organization for proper consolidation.

Data Science 52

Data Science Machine Learning Machine Learning Data Silos 52

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

Heartbeat

DECEMBER 7, 2023

What is Data Mesh? Data Mesh is a new data set that enables units or cross-functional teams to decentralize and manage their data domains while collaborating to maintain data quality and consistency across the organization — architecture and governance approach. on Twitter: "Data is addictive!

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 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.

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Data Warehouse Data Silos Data Governance Data Quality 52