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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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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Precisely

DECEMBER 12, 2024

This article explores how organizations can tap into their mainframes to enhance their AI outcomes, eliminate biases, and keep up with the demands of the future. Additionally, mainframe data can be stored in proprietary formats that require specialized knowledge to access and interpret.

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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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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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Dataversity

AUGUST 7, 2023

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.

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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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Smart Data Collective

JUNE 3, 2019

In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. This integration is even more important, but much more complex with Big Data.

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Smart Data Collective

MARCH 27, 2023

In this article, we look at the importance of financial software and discuss how you can use it to secure better business outcomes. In the early 2000s, articles were being written that suggested accounting would no longer exist as a profession in the next several decades (in other words, right about now).

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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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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.

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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.

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Tableau

SEPTEMBER 14, 2021

Editor's note: This article originally appeared in Forbes , by Jennifer Day, Vice President, Customer Strategy and Programs, Tableau . Many businesses recently made strategic moves to build or enhance their data cultures, enabling people to make better, faster decisions as they faced unprecedented challenges. Forbes BrandVoice.

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Precisely

FEBRUARY 2, 2023

This requires access to data from across business systems when they need it. Data silos and slow batch delivery of data will not do. Stale data and inconsistencies can distort the perception of what is really happening in the business leading to uncertainty and delay.

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Data Pipeline Data Silos Database Data Observability 52

Tableau

SEPTEMBER 14, 2021

Editor's note: This article originally appeared in Forbes , by Jennifer Day, Vice President, Customer Strategy and Programs, Tableau . Many businesses recently made strategic moves to build or enhance their data cultures, enabling people to make better, faster decisions as they faced unprecedented challenges. Forbes BrandVoice.

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Becoming Human

MARCH 16, 2023

In this article, we will explore how AI drug discovery is changing the industry. Data When it comes to AI, it always comes down to input data. Data silos and legacy systems that wouldn’t allow their consolidation are big hurdles to AI research in any domain.

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ODSC - Open Data Science

JANUARY 17, 2024

Admittedly, there’s an overabundance of data. Excess Data Silos Since smart cities don’t know how to properly manage their constant flow of information, they create silos to divide the effort. In other words, better data governance is a necessity. As a result, local government agencies lose crucial insights.

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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?

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Analytics Analytics Data Silos Big Data 52

Dataconomy

APRIL 27, 2023

But the true power of OLTP databases lies beyond the mere execution of transactions, and delving into their inner workings is to unravel a complex tapestry of data management, high-performance computing, and real-time responsiveness. Building in these characteristics at a later stage can be costly and resource-intensive.

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ODSC - Open Data Science

MAY 17, 2023

A high-tech solution used across an organization can create a single source of truth and eliminate data silos. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

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Dataversity

DECEMBER 4, 2024

In today’s business landscape, data reigns supreme. However, despite its immense potential, many organizations struggle to harness the full power of their data due to a fundamental disconnect between IT and business teams. It is the cornerstone of effective decision-making, fuels innovation, and drives organizational success.

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Data Silos 52

ODSC - Open Data Science

JULY 13, 2023

A retailer must connect data silos across the entire organization for proper consolidation. Data analytics in the retail industry may solve many application issues. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

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Data Science Machine Learning Machine Learning Data Silos 52

Alation

APRIL 27, 2023

Article reposted with permission from Eckerson ABSTRACT: Data mesh is giving many of us from the data warehouse generation a serious case of agita. But, my fellow old-school data tamers, it’s going to be ok. It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita.

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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.

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Dataversity

MARCH 24, 2022

Data complexity not only complicates the user experience but also wreaks havoc in the backend for administrators and IT decision-makers. As the world of data has grown exponentially and transcended the borders of enterprises, the management of data […].

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Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

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Dataversity

OCTOBER 25, 2021

It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to ensure quality Data Governance. Let’s break […].

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Dataversity

MARCH 15, 2023

Add this 21st-century irrefutable fact: The world can’t live without data. With its numbers, characters, facts, and statistics – the operations performed, stored, and analyzed – data has become an irreplaceable facet of daily life. We use data to identify strengths and weaknesses.

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Dataversity

FEBRUARY 13, 2023

For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset: data. But having just massive troves of data isn’t enough. The key to being truly data-driven is having access to accurate, complete, and reliable data.

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ODSC - Open Data Science

JUNE 7, 2023

This means that customers can easily create secure and scalable Hadoop-based data lakes that can quickly process large amounts of data with simplicity and data security in mind. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

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Dataversity

DECEMBER 24, 2020

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” Click to learn more about author Scott Taylor.

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Data Quality Data Silos Data Governance 97

Dataversity

NOVEMBER 10, 2021

Data is generated and collected at each one of these – and numerous other – touchpoints. The post 4 Key Steps to Using Customer Data More Effectively appeared first on DATAVERSITY. Customers now interact with brands in a variety of ways. But many companies do not know […].

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Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

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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. The post Why Graph Databases Are an Essential Choice for Master Data Management appeared first on DATAVERSITY.

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Database Data Lakes Data Silos Data Governance 90

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.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

The following risks and limitations are associated with LLM based queries that a RAG approach with Amazon Kendra addresses: Hallucinations and traceability – LLMS are trained on large data sets and generate responses on probabilities. This can lead to inaccurate answers, which are known as hallucinations.

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The MLOps Blog

MAY 17, 2023

Often the Data Team, comprising Data and ML Engineers , needs to build this infrastructure, and this experience can be painful. These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Happy Learning!

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